Next Article in Journal
Impact of Heat Treatment on the Microbiological Quality of Frass Originating from Black Soldier Fly Larvae (Hermetia illucens)
Previous Article in Journal
Habituation to a Deterrent Plant Alkaloid Develops Faster in the Specialist Herbivore Helicoverpa assulta Than in Its Generalist Congener Helicoverpa armigera and Coincides with Taste Neuron Desensitisation
Previous Article in Special Issue
Spatial Distribution of Aedes aegypti Oviposition Temporal Patterns and Their Relationship with Environment and Dengue Incidence
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

The Impact of Deforestation, Urbanization, and Changing Land Use Patterns on the Ecology of Mosquito and Tick-Borne Diseases in Central America

by
Diana I. Ortiz
1,*,†,
Marta Piche-Ovares
2,3,
Luis M. Romero-Vega
4,5,
Joseph Wagman
6 and
Adriana Troyo
5,7,†
1
Biology Program, Westminster College, New Wilmington, PA 16172, USA
2
Laboratorio de Virología, Centro de Investigación en Enfermedades Tropicales (CIET), Universidad de Costa Rica, San José 11501, Costa Rica
3
Departamento de Virología, Escuela de Medicina Veterinaria, Universidad Nacional, Heredia 40104, Costa Rica
4
Departamento de Patología, Escuela de Medicina Veterinaria, Universidad Nacional, Heredia 40104, Costa Rica
5
Laboratorio de Investigación en Vectores (LIVe), Centro de Investigación en Enfermedades Tropicales (CIET), Universidad de Costa Rica, San José 11501, Costa Rica
6
Malaria and Neglected Tropical Diseases Program, Center for Malaria Control and Elimination, PATH, Washington, DC 20001, USA
7
Departamento de Parasitología, Facultad de Microbiología, Universidad de Costa Rica, San José 11501, Costa Rica
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Insects 2022, 13(1), 20; https://doi.org/10.3390/insects13010020
Submission received: 16 November 2021 / Revised: 13 December 2021 / Accepted: 16 December 2021 / Published: 23 December 2021

Abstract

:

Simple Summary

Central America is a region that possesses distinct ecological and socioeconomic characteristics, making it increasingly vulnerable to vector-borne diseases. The emergence and resurgence of these diseases has been linked to environmental changes driven by human activities, particularly land use changes associated with deforestation, forest degradation, and urbanization. However, the effects of these environmental modifications on the transmission dynamics and the increase of infection risks are not well understood in Central America where information is limited and scattered. In this article, we review and analyze the current knowledge and potential impacts of deforestation and urbanization on the risk and transmission dynamics of the most relevant mosquito-borne and tick-borne diseases in Central America. Disease events, such as the recent Zika and dengue epidemics, and the uneven progress towards regional malaria elimination highlight the need to increase awareness regarding the complex ecological interactions and environmental changes taking place in this region and how this information could be used to improve prevention and control strategies.

Abstract

Central America is a unique geographical region that connects North and South America, enclosed by the Caribbean Sea to the East, and the Pacific Ocean to the West. This region, encompassing Belize, Costa Rica, Guatemala, El Salvador, Honduras, Panama, and Nicaragua, is highly vulnerable to the emergence or resurgence of mosquito-borne and tick-borne diseases due to a combination of key ecological and socioeconomic determinants acting together, often in a synergistic fashion. Of particular interest are the effects of land use changes, such as deforestation-driven urbanization and forest degradation, on the incidence and prevalence of these diseases, which are not well understood. In recent years, parts of Central America have experienced social and economic improvements; however, the region still faces major challenges in developing effective strategies and significant investments in public health infrastructure to prevent and control these diseases. In this article, we review the current knowledge and potential impacts of deforestation, urbanization, and other land use changes on mosquito-borne and tick-borne disease transmission in Central America and how these anthropogenic drivers could affect the risk for disease emergence and resurgence in the region. These issues are addressed in the context of other interconnected environmental and social challenges.

1. Introduction

Vector-borne diseases (VBDs) remain an important public health problem worldwide, particularly in tropical and subtropical regions, and they are becoming more prevalent in recent years. Arthropod vectors are associated with the transmission of some of the most significant infectious diseases affecting both animals and humans [1,2,3]. The global burden of VBDs is significant, accounting for more than 17% of infectious diseases in humans with more than three billion people currently inhabiting endemic areas and at risk of exposure to these pathogens [4]. Most people affected by these diseases live in developing countries under conditions that favor a greater burden of disease, especially in poor and marginalized populations, including rural inhabitants, Indigenous populations, women living in poverty, the elderly, and children [5,6]. Together, these diseases produce significant mortality and morbidity, causing millions of deaths every year, long-term disabilities, and life-long sequelae [5,7,8,9].
Emerging and resurging diseases are defined as recently evolved or newly discovered pathogens that have demonstrated increased incidence in host populations in the past 20 years or poses a future threat. These pathogens are characterized by their expanding geographic spread, increasing public health impact, changes in their clinical presentation, or novel infection occurrence in humans [10,11]. Some of these pathogens are also characterized by their resurgence after long periods of decline in infection incidence. About 60% of these diseases are zoonotic in origin and, to various degrees, dependent on animal reservoirs for survival and maintenance [10,11,12,13,14]. In many countries, the incidence of these diseases has declined to low levels due mostly to effective prevention and control programs; however, some were never satisfactorily controlled throughout their endemic regions. Many are currently increasing in incidence and spreading beyond their previously known geographical ranges. Some of them have reappeared only in limited regions while others have become major global problems [9,12,15].
Most emerging zoonotic VBDs are transmitted by ticks (Family Ixodidae) and mosquitoes (Culicidae) and caused by RNA viruses (Families Flaviviridae, Bunyaviridae, and Togaviridae) and Rickettsiaceae bacteria [12,16]. The vectorial capacity of mosquitoes and ticks is enhanced by their high environmental adaptability, which includes high reproductive outputs under suitable conditions and high capacity to invade ecologically disturbed environments, especially peridomestic habitats where human and domesticated animal hosts are readily available [16,17,18]. In terms of human morbidity and mortality, malaria, dengue, Rickettsial fevers, and Lyme disease are some of the most important of these resurgent infections [2,15,16,19].
The relationship between arthropod vectors and the pathogens they transmit is particularly sensitive to anthropogenically driven global changes. Factors behind the dramatic emergence and resurgence of VBDs are complex, vary geographically and temporarily, and often have an additive effect on disease ecology and epidemiology [1,2,12,16,19]. Currently recognized anthropogenic drivers of VBD emergence and resurgence include demographic changes (e.g., global population movements and growth, unplanned and uncontrolled urbanization), socioeconomic changes (e.g., modern transportation and commerce, human encroachment on natural disease foci), illegal activities (e.g., illegal logging and cattle ranching, illegal drug trafficking), accelerated exploitation of natural resources (e.g., changes in land use, forest degradation, reduction in biodiversity, agricultural practices), changes in host susceptibility and pathogen adaptation (e.g., increased movement of humans and animals, pathogen genetic variability), degradation of public health infrastructure (e.g., lack of effective vector control, disease surveillance, and prevention programs), and climate change (e.g., changes in regional temperature and rainfall patterns lead to alterations in vector dynamics) [1,2,12,16,19,20,21,22].
There is increasing evidence that anthropogenic land use changes can directly and indirectly influence vector-borne pathogen transmission dynamics [10,23]. Although land use changes, such as urbanization as a result of forest degradation and deforestation, have been associated with increased disease transmission, their direction, extent, specific mechanisms, and persistence are not clearly understood. Often the effects of these factors on VBD emergence and resurgence are interdependent, synergistic, and difficult to study.
Central America is the region that links North and South America comprising most of the narrow isthmus that separates the Pacific Ocean from the Caribbean Sea. It consists of the countries of Belize, Costa Rica, Guatemala, El Salvador, Honduras, Panama, and Nicaragua, and is inhabited by about 44.5 million people. Generally, this region is characterized by a diversity of ecosystems, physical geographies, sociocultural and socioeconomic structures, and public health profiles [24]. Over the past decades, this region has sustained dramatic land use changes, including cattle ranching, large-scale commercial plantations, illegal airstrips, mining, road construction, tourism infrastructure, illegal timber extraction, and housing construction. These land use changes have significantly accelerated the rates of deforestation and urbanization in the region [25,26,27,28,29,30]. Despite the high prevalence of several VBDs in Central America, the effects of anthropogenic-driven deforestation and urbanization on the transmission dynamics of these diseases are not well understood. The presence and interactions of numerous physical and socioeconomic factors in the region amplifies its vulnerability to the emergence and resurgence of several VBDs [6].
The purpose of this descriptive review is to profile the potential impact of deforestation, forest degradation, and urbanization on mosquito-borne and tick-borne disease transmission dynamics in Central America and how these anthropogenic drivers could affect risk for disease emergence and resurgence in the region. This review article focuses specifically on mosquito-borne and tick-borne pathogens currently causing high disease incidence and prevalence in humans or that have a high potential for emergence or resurgence in the region. To provide a proper context to these issues, our review also includes a brief history on deforestation and urbanization in Central America and the mosquito-borne and tick-borne diseases that have been recorded in the region. These diseases have received less attention than other VBDs in Central America, such as leishmaniasis and Chagas disease, which have been widely studied in the region and have been featured in comprehensive literature reviews [31,32,33,34,35]. This review assesses direct and indirect evidence and identifies knowledge gaps that could stimulate future research initiatives in the region. Understanding the causes and potential impacts of deforestation and urbanization on VBD transmission in Central America is essential to the improvement of current disease prevention and control approaches.

2. Deforestation in Central America

The Central American region is about 2200 km in length, northwest to southeast, and 600 km wide at its broadest point covering a total area of more than 550,000 square kilometers. The topography and vegetation in this region are defined by several mountain ranges that stretch extensive parts of the region’s length. Between these mountain ranges lie fertile valleys where most of the populations reside and where most of the agricultural activity occurs, such as raising livestock and the cultivation of coffee, beans, tobacco, and other crops [24,25]. Central America is also part of the Mesoamerican Biodiversity Corridor (MBC), a patchwork of diverse and protected biomes, established in 1997, that connects North and South America. It represents the world’s third largest biodiversity hotspot containing about 7–10% of the world’s known species [36]. Although Central American forests currently cover about 200,000 square kilometers, they were once much more extensive. About 12% of the MBC is protected land in the form of ecoregions and nature reserves [36,37]. Mesoamerican forests are highly susceptible to destruction and damage and have one of the highest rates of ecological degradation in the world [38]. However, the history and drivers of deforestation have taken different forms depending on the country and region [22,25,26].
In the 1960s and 1970s, Central America underwent the highest rate of deforestation in the world with an increasing number of settlers clearing the land for cattle ranching (the “hamburger connection”) and commercialization activities [25,39,40]. Over the last 30 years, Central America has experienced a rising demand for food and energy driving national authorities to exploit natural resources for energy generation and agricultural production. Numerous drivers of deforestation and forest degradation have significantly accelerated the pace of net forest loss in this region, including land settlements, logging, illegal cattle ranching, large-scale agriculture (e.g., coffee and palm oil plantations), and subsistence farming [1,22,27,41,42,43,44,45]. In the last two decades, the three largest surviving forest segments in Central America have shrunk in size by about 23% and are limited to a few pockets of old-growth forests mostly bound by international borders and heavily urbanized regions. Within these forests, there are indigenous populations and biodiverse ecosystems; however, as climate change intensifies, urban areas expand, and clearing for farmland continues, these forests will continue to shrink [28,38].
From 2001 to 2010, an average of 5376 square kilometers (2076 sq mi) of forest disappeared in the region. Currently, the percentage land area covered by forests in Central America varies by country, with the highest in Costa Rica (58.8%), followed by Honduras (57.2%), Panama (57.1%), Belize (57%), Guatemala (33.1%), Nicaragua (30%), and El Salvador (28.6%) (Table 1) [46]. Most of the deforestation in Central America is in the moist forest biome of the Caribbean slopes of Nicaragua [44]. Recent reports have revealed that over 90% of forest loss in Central America is due to extensive illegal cattle ranching with most of it occurring in Indigenous territories and protected areas. This illegal activity is often connected to money laundering and drug trafficking [22,38,45]. Other agricultural activities, such as the proliferation of oil palm plantations, have displaced cattle and people into protected areas, which further accelerates deforestation in the region. Regions such as La Mosquitia in Nicaragua and Honduras and the Maya Forest region located between Mexico, Guatemala, and Belize are under the greatest threat [22,38].
Deforestation rates in protected areas differ among environmental governance models and intensity of human activities [47,48,49]. Recent studies indicated that drug trafficking and related criminal activities have significantly contributed to forest loss in Central America since the early 2000s [22,45,50]. As a result of successful and disruptive U.S.-led interdiction activities in the Caribbean and Mexico, illegal drug traffickers were forced to diverge cocaine shipments through Central America, which is currently the primary trafficking corridor for cocaine between South to North America [50,51,52]. Presently, about 86% of the cocaine trafficked worldwide is transported across Central America, leaving billions of dollars in annual illegal profit in the region. Moreover, approximately 10% to 14% of the gross domestic product of Nicaragua, Honduras, and Guatemala, a major drug corridor in the region, is linked to illegal drug trafficking [22,45,52]. In these three countries, where most of the Central American forest loss has occurred, drug trafficking along with other illicit trades are increasingly cited as principal drivers of environmental degradation, accounting for about 25% of all forest loss since the mid-2000s [53,54,55]. These regions are characterized by poor socioeconomic development located in remote forests that are highly vulnerable to deforestation [45,50,52,54].
Effective drug smuggling territories are characterized by their remoteness and protected forests status cutting across international terrestrial and marine borders and are seldom monitored by national drug enforcement agencies. Moreover, these smuggling territories typically have weak civil governance structures, insecure land tenures, high unemployment, and are frequently controlled by low-resource conservation groups and agencies that are highly susceptible to undermining and exploitation by criminal organizations [22,45,54,56,57,58]. The increasing use of these protected areas for illicit activities diminishes the region’s capacity for conservation of forest cover and biodiversity that could help reduce the effects of climate change in the region [29,45]. When cocaine is trafficked through Central America, money is laundered through the conversion of forests to agricultural land in order to legitimize illicit profits in the legal economy. Money laundering activities linked to deforestation include illegal cattle ranching and timber extraction, clandestine airstrips, and mining. The most destructive of these illegal activities is cattle ranching [22,38,45,50,53,55,59]. Protected and remote areas highly impacted by drug trafficking and related illicit activities include the Petén and Nicaragua’s Caribbean Coast, Guatemala’s Maya Biosphere Reserve, and Honduras’s Rio Plátano Biosphere Reserve [44,45,55,57,60,61,62,63].
In Central America, drug trafficking has produced distinctive patterns of extensive deforestation and other forms of environmental degradation [45,62,63]. Deforestation in this region is considered a large-scale, late-stage effect of ‘‘narco-degradation” that reflects changes in smuggling routes and greatly varies in the time, space, type, and intensity of these activities, typically emerging at a local level as drug trade inserts in specific locations across Central American countries [22,45].

3. Urbanization in Central America

Central America is currently experiencing a major demographic transition along with an accelerated growth of urban populations. National statistics suggest that, between 2000 and 2014, rural population growth in this region has been declining while urban populations have been steadily increasing [45]. After Africa, Central America is the second-fastest urbanizing region in the world [30]. Over the past 20 years, Central American urban populations grew at an average rate of 3.8% per year, which is twice as fast as other Latin American populations and 1.7 times faster than the global average. Although the proportion of urban populations increased to 59% today, compared to 48% in 1990, Central America remains the least urbanized region in Latin America. As a consequence of rural-to-urban migration and natural population growth, it is expected that the urban population of Central America will double by the year 2050, growing to more than 25 million new urban inhabitants [30]. Central American countries with the highest-to-lowest percentage of urban populations are Costa Rica (81%), El Salvador (73%), Panama (68%), Nicaragua (59%), Honduras (58%), Guatemala (52%), and Belize (46%) (Table 1) [30,64].
Across countries, official definition differences of what “urban” constitutes make comparisons between countries difficult. In Central America, the definition of urban varies widely. For example, in Guatemala and Honduras, any human settlements with a population larger than 2000 residents with access to basic infrastructure, such as electricity and piped water, are classified as urban. In Panama and Nicaragua, urban is defined as settlements of 1000 and 1500 inhabitants, respectively, Moreover, in Costa Rica and El Salvador, urban areas are defined as people that are living within municipal boundaries (locally known as “cantones” or “cabeceras municipales”), regardless of population size [30].
In Central America, large numbers of poor, rural populations are migrating to cities in search of better educational and employment opportunities and improving their quality of life. The most dominant factors driving this migration include declining agricultural prices, environmental degradation, vulnerability to natural disasters, food insecurity, violence, and economic instability [30]. This large influx of migrants poses significant challenges for cities, including the provision of adequate urban infrastructure and reliable basic services, such as sewer, water, and waste management, the worsening of existing housing deterioration, and increased vulnerability to natural disasters [30,65].
Although cities contain most of a country’s population, recent population expansions in Central America are driven by growing urban agglomerations in secondary cities in areas surrounding capital cities. For instance, most urban population growth in Costa Rica and Guatemala has taken place outside the capital cities [30]. Moreover, recent trends show that land development in the region has been intensifying faster than population growth. This expansion of built-up areas results in sprawling urbanization, which accelerates deforestation [30,66]. In rural areas, population growth has also been a major driver of environmental change, which further exacerbates deforestation, impacts land use, and changes animal husbandry practices [30].
Unplanned and uncontrolled urbanization, characterized by the development of informal settlements in high-risk areas with deficient building standards and infrastructure and increase flood risks, has led to increased vulnerability to natural disasters in the region [67,68]. Large-scale flooding is the most common disaster with close to 40 events occurring across the Central America between 2006 and 2010 [30]. Furthermore, storms have frequently impacted the region, including Hurricane Mitch in 1998 which directly affected about 6.7 million people, causing 14,600 deaths and over USD 8.5 billion in damages in Honduras, El Salvador, Nicaragua, and Guatemala [30]. Recently, back-to-back category 4 storms, Eta and Iota, devastated much of the region and impacted nearly 7 million people in November of 2019 [30,69,70]. It is expected that climate change will further modify current weather patterns in Central America potentially leading to an increase in the number and severity of extreme meteorological events. Increase frequency and intensity of floods, droughts, and hurricanes could affect access and quality of water and alter ecosystem services in affected areas [68,71].

4. Mosquito-Borne and Tick-Borne Diseases in Central America

The global emergence and resurgence of VBDs in the last three decades are closely linked to demographic, economic, and societal changes. The decay in public health infrastructure required to prevent and control these diseases and the unprecedented population growth, primarily in rapidly growing cities, are factors that have facilitated VBD transmission and their geographic spread [2,5]. In Central America, the most important VBDs affecting humans and animals include Chagas disease, leishmaniasis, dengue fever, malaria, Zika fever, chikungunya fever, West Nile fever, rickettsial diseases, Eastern equine encephalitis, Saint Louis encephalitis, and Venezuelan equine encephalitis (Table 2) [6,72].

4.1. Mosquito-Borne Arboviral Diseases in Central America

4.1.1. West Nile Virus Disease

West Nile virus (WNV) (genus Flavivirus, family Flaviviridae), initially discovered in Uganda in 1937, has become endemic in parts of the Americas since its introduction in 1999 [73]. In Central America, the first evidence of its active circulation in horses was detected between November 2001 and April 2003 in El Salvador, where 203 horses died from undetermined encephalitis [74], and Belize, where a single encephalitic horse was diagnosed with WNV infection [75]. In addition, ten serum samples from horses in the same area were positive for WNV. Although no human cases were reported during this outbreak [74], another study carried out in 2003 in Guatemala, Belize, and El Salvador detected antibodies against the virus in humans [76,77]. Moreover, in 2006, a single case of WNV infection was detected in a Spanish missionary who was living in Nicaragua [78].
Several studies have been conducted in Central America to understand WNV transmission involving equines and mosquitoes. For instance, studies were conducted in Guatemala to determine WNV transmission dynamics and seroepidemiology [79,80,81]. Of the seven departments selected for monitoring by sentinel chickens in the country, one transmission focus was identified in the eastern city of Puerto Barrios. Annual transmission at that site was detected between the months of May and October of 2005–2008. Additionally, great-tailed grackles (Quiscalus mexicanus [Gmelin, 1788]) have been identified as primary amplifying hosts in the region [79,81]. Environmental factors, such as high temperatures and low rainfall, are strongly associated with chicken seroconversions since these factors influence mosquito population density and viral infection kinetics in the vector in both rural and urban environments [79]. Another study, conducted between 2003–2004, evaluated 352 Guatemalan horses for WNV antibodies finding nine horses positive for WNV, 33 for SLEV, and 21 positive for undifferentiated flaviviruses [80]. Recently in Panama, a study by Carrera et al. (2018) found a WNV seroprevalence in equids with neurological disease of 2.6% [82].
In Costa Rica, WNV circulation was first detected in 2004 in seropositive horses from the Guanacaste Province with a prevalence of 18–28%, followed by the first equine with neurologic disease in 2009 in the same region [83]. Since then, new equine cases are reported annually in the country, especially in the lowlands during the rainy season [84]. Serological evidence of WNV infection in wildlife has also been reported, including non-human primates, Hoffman’s two-toed (Choloepus hoffmanni Peters, 1858) and brown-throated sloths (Bradypus variegatus Schinz, 1825), and birds [79,80,85,86,87]. The ecological distribution of these species coincides with the geographic distribution of neurological cases in equines [84,86,87]. The importance of wildlife in the enzootic transmission of WNV in Central America is largely unknown. A more recent study by Piche-Ovares et al. (2021) during the rainy and dry seasons reported additional serological evidence of neutralizing antibodies against WNV in equines, humans, sentinel chickens, a local wild bird, and one seroconversion event in a horse [88]. However, the study did not find molecular evidence of active virus circulation in wild birds and mosquitoes. Although human cases of neurological WNV infection have not yet been recorded in Costa Rica, evidence suggests that the virus is widely distributed throughout the region [88].
A limited number of studies have examined the incrimination of mosquito species in WNV transmission in Central America. For instance, a study by Morales-Betoulle et al. (2013) at a WNV transmission foci in Guatemala isolated the virus from Culex quinquefasciatus Say, 1823 and Culex mollis Dyar and Knab, 1906/Cx. inflictus Theobald, 1901 mosquitoes; however, no isolates were obtained from the most abundant species, Cx. nigripalpus Theobald, 1901 [79]. Laboratory vector competence using Central American WNV strains and mosquitoes have found evidence of moderate-to-strong competency for Cx. quinquefasciatus and Cx. nigripalpus in Honduras and Guatemala [89,90].
One of the most critical issues in Central America is the lack of data on the extent of WNV human disease burden in the region since it can be very challenging to diagnose these infections. Human WNV cases are often misdiagnosed or underdiagnosed due to several factors, including serological cross-reactivity with other flaviviruses circulating in the region, virus genome diversity, low transient viremia, and the lack of laboratory testing capacity [91]. Presently, the diagnosis of WNV infection is mostly based on serological methods since molecular identification of virus RNA is often unreliable due to the short-term transient viremia and low viral load at the time of the onset of symptoms [92]. As seen in other areas where the WNV circulates, the serological diagnosis of WNV disease in Central America is also problematic due to the active co-circulation of dengue virus, Zika virus, and other flaviviruses that will likely produce cross-reactivity in serological assays [92]. Lastly, laboratory capacity to test for WNV and other VBDs varies widely among Central American countries, ranging from some laboratory capacity and epidemiological surveillance systems to a lack of critical resources, such as appropriate testing technologies, reagents, facilities, epidemiological surveillance systems, and technical expertise [93].
One of the possible reasons for the lack of evidence for human and equine WNV neurological disease and high avian mortality in Central America is that birds infected with more virulent strains could not start their migration process to South America while only birds infected with less virulent viral strains are able to migrate [94]. Another hypothesis that seeks to explain the relatively low human, equines, and avian mortality in Central America focuses on pre-existing neutralizing antibodies against other flaviviruses, such as dengue virus (DENV) and Saint Louis encephalitis virus (SLEV), which might offer partial protection from WNV disease [77,95,96]. Finally, environmental and host factors, such as temperature, vector competence, and host susceptibility, may influence the genetic selection of less virulent variants [95]. Although WNV disease has not been reported in most of Central America, all the components that could support virus circulation are present throughout the region maintaining the risk for future outbreaks in the region.

4.1.2. Saint Louis Encephalitis

Saint Louis encephalitis virus (SLEV) (genus Flavivirus, family Flaviviridae) was first identified in St. Louis, Missouri, USA in 1933. SLEV can be classified into eight genotypes, with genotypes I and II circulating mainly in the US and associated with outbreaks of human encephalitis [97], while genotypes III–VIII have been found only in Central and South America. In Central America, SLEV circulation was first documented in 1957 in Buena Vista, Panama, when the virus was isolated from a pool of Sabethes chloropterus (von Humbolt, 1819) [98]. Subsequently, serological evidence and isolates of SLEV were also detected in Maje Island, Darien Province, and Panama Province in humans, wild birds (local and migratory), several wild mammals (rodents, non-human primates, sloths), various sentinel animals, and several mosquito species, including Haemagogus lucifer (Howard, Dyar and Knab, 1913), Deinocerites pseudes Dyar and Knab, 1909, Mansonia dyari Belkin, Heinemann and Page, 1970, Cx. nigripalpus, Trichoprosopon spp., and Wyeomyia spp. [98,99,100,101]. In the Pacific coast of Guatemala, the virus was also isolated from Cx. nigripalpus [102].
More recently, two studies in Costa Rica reported serological evidence of SLEV infection in free range and captive non-human primates and sloths. For example, a study by Chavez et al. (2021) found homotypic and heterotypic neutralization reactivity to SLEV of 47.6% and 5.9%, respectively, in mantled howler monkeys (Alouatta palliata [Gray, 1849]) and spider monkeys (Ateles geoffroyi Kuhl, 1820), while another study found a seropositivity of 42% in Hoffman’s two-toed sloths (C. hoffmanni) and brown-throated sloths (B. variegatus) [85,86]. Moreover, a study conducted between 2017 and 2018 in northwestern and southeastern Costa Rica found neutralizing SLEV antibodies in humans, local and migratory birds, and equines [88]. One seroconversion event to SLE, between the rainy and the dry seasons, was also detected in a horse from the province of Guanacaste [88].

4.1.3. Venezuelan Equine Encephalitis

Venezuelan equine encephalitis virus (VEEV) (genus Alphavirus, family Togaviridae) is a serocomplex of six antigenic subtypes (I–VI). Within subtype I, there are five antigenic variants (AB–F), with antigenic variants IAB and IC associated with epizootic/epidemic activity in equines and humans, while variants ID, IE, and IF and subtypes II–IV are associated with enzootic forest cycles. These enzootic viruses circulate in sylvatic rodent populations within tropical and subtropical forests or swamp habitats continuously transmitted by Cx. (Melanoconion) mosquitoes [103,104]. Most enzootic variants are avirulent in equines, but some strains could cause clinical disease in both humans and equines with a similar clinical presentation to epizootic strains infections [105].
The first VEEV epizootic involving humans and equines in Central America took place between 1969–1970 in Honduras, Guatemala, Nicaragua, El Salvador, and Costa Rica, as part of a major intercontinental epizootic that spread from Central America to northern South America and south Texas, U.S. [106,107]. The virus strain responsible for this epizootic was identified VEEV subtype IB (later reclassified as IAB) and, at the time, was commonly isolated from equines, humans, and several mosquito species, including Psorophora confinnis (Lynch Arribalzaga, 1891), Cx. nigripalpus, Cx. (Melanoconion) sp., Ma. titillans (Walker, 1848), Aedes taeniorhynchus (Wiedemann, 1821), and De. pseudes [106,108,109,110]. Following this epizootic, numerous studies linked the origin of the VEEV epizootic subtype IAB to incompletely innactivated vaccines [111]. Moreover, evidence also suggest that key mutations in enzootic VEEV strains could potentially mediate the emergence of novel epizootic strains [112].
In recent decades, only two enzootic VEEV subtypes have been reported in Central America. The VEEV subtype IE appears to be widely distributed throughout the region while the VEEV subtype ID has been detected only in Panama [82,84,112,113,114]. Recent data suggest that humans infected with these two enzootic subtypes could develop sufficient viremia to potentially infect both Central American enzootic and epizootic VEEV vectors [112,113]. Moreover, experimental competency studies suggest the potential transmission of VEEV subtype ID in Central America by Ae. aegypti (Linnaeus, 1762) and Ae. albopictus (Skuse, 1894), increasing the possibility that urban transmission cycles could take place in the region [115,116]. It is possible that febrile illness linked to endemic VEEV infections in Latin America are more widespread than previously observed but are vastly unrecognized or misdiagnosed due to the presence of similar dengue-like febrile illnesses and lack of effective public health surveillance systems [112,113].
The first reported human case of enzootic VEEV ID virus infection in Panama took place in the early 1960s near Panama City [117]. Recently, an increase in human VEEV cases in Panama have intensified ecological and epidemiological studies in the region, with several studies reporting the active and stable circulation in humans of both VEEV subtypes ID and IE throughout the country. For example, recent serosurveys have found neutralizing VEEV antibodies levels between 8.5% and 78% across several communities in the Darien region [82,113,114]. Moreover, subtype ID outbreaks in Panama also show higher case fatality rates than those reported during previous subtype IAB epidemics [113].
Field studies in Panama, Costa Rica, Guatemala, Belize, and Honduras have also detected the circulation of enzootic VEEV ID and IE viruses in a variety of vertebrates, including wild rodents (Zygodontomys brevicauda [Allen and Chapman, 1893]), Transadinomys (=Oryzomys) bolivaris Allen, 1901, Proechimys semispinosus [Tomes, 1860], Melanomys caliginosus [Tomes, 1860]; Oryzomys spp.), opossums (Didelphis marsupialis Linnaeus, 1758, and Marmosa robinsoni Bangs, 1898; Philander spp.), sloths (Bradypus spp. and Choloepus spp.), sentinel guinea pigs and hamsters, equines, wild and domestic birds, and bats [82,84,114,118,119,120,121,122,123,124]. Moreover, entomological surveys in Central America have identified Cx. (Melanoconion) spp., particularly Cx. (Mel.) taeniopus Dyar and Knab, 1907, Cx. (Mel.) ocossa Dyar and Knab, 1919, and Cx. (Mel.) panocossa Dyar, 1923; formerly known as Cx. (Mel.) aikenii (Aiken and Rowland, 1906), Cx. (Mel.) vomerifer Komp, 1932, and Cx. (Mel.) erraticus (Dyar and Knab, 1906) as the most important enzootic VEEV vectors in the region [112,125].

4.1.4. Madariaga Virus

Maradiaga virus (MADV) is an emergent Alphavirus (family Togaviridae) in the Eastern equine encephalitis (EEE) antigenic linage III strain complex. This virus was previously known as the EEE South American variant and it is maintained in stable, enzootic cycles throughout Central and South America [126]. Although broad spectrum human and equine infections linked to MADV have been reported [124,127,128], a recent outbreak in Panama underscores concerns as an emergent virus in Latin America [114,129]. Although the enzootic cycle of MADV remains unclear, its circulation has been detected in birds, rodents, marsupials, reptiles, and bats [130]. In Panama, several rodent and bat reservoirs have been proposed, including the black rat (Rattus rattus [Linnaeus, 1758]), short-tailed cane mouse (Z. brevicauda), long-whiskered rice rat (T. bolivaris), Tome’s spiny rat (P. semispinosus), Seba’s short-tailed bat (Carollia perspicillata [Linnaeus, 1758]), and pale spear-nose bat (Phyllostomus discolor Wagner, 1843) [114]. The primary mosquito vectors for this virus are Cx. (Melanoconion) mosquitoes, especially Cx. (Mel.) taeniopus, which could serve as an enzootic and epizootic vector [130]. In Central America, MADV isolates have been obtained also from Cx. (Mel.) taeniopus in Panama during field surveys and equine outbreaks [127,131].
The first report of an outbreak of MADV-related neurologic disease took place in 2010 in Darien, Panama, where seven humans and 210 horses developed encephalitis and were confirmed positive for the virus [129]. In 2017, another outbreak was reported in the same region of Darien. A serosurvey conducted in the area showed a higher seroprevalence than during previous investigations [132,133]. Human activities, such as horse and cattle ranching, fishing, farming, pasture, and poor housing conditions, have been identified as risk factors associated with MADV infections [114]. Moreover, people living near or having vegetation around the house had higher seroprevalence to MADV [133]. Therefore, the increased exposure of people to MADV in this region could have resulted from ecological changes, primarily deforestation, which increased human contact with enzootic transmission cycles. The co-circulation of MADV and VEEV makes diagnosis difficult in regions where these viruses are endemic [129].

4.1.5. Yellow Fever

Yellow fever virus (YFV) is a member of the genus Flavivirus (family Flaviviridae) primarily transmitted by the bite of Aedes (Stegomyia) spp., Haemagogus spp., and Sabethes spp. mosquitoes in tropical and subtropical regions of Africa and South America [134]. In the Americas, YFV is currently distributed between southern Panama and northern Argentina [134,135]. In Central America, outbreaks have been recognized as far back as the mid-1600s in the Yucatan Peninsula and through the construction of the Panama Canal in the late 19th century [136,137,138]. From 1905 to 1948, there was a period of relative quiet with no autochthonous cases of yellow fever reported; however, between 1949 and 1954, a large human outbreak of sylvatic YF, which originated in Panama, spread northward to Costa Rica, Nicaragua, Honduras, Guatemala, and the Guatemala–Mexico border [139]. During this period, a high mortality in non-human primates was also reported in the region [138,140]. At the time, several entomological surveys conducted in Costa Rica and Nicaragua identified a high abundance of Haemagogus spp. and Sabethes spp. mosquitoes in the region affected by the epizootic [141,142,143]. In addition, the virus was isolated in Panama from Hg. lucifer, Hg. equinus Theobald, 1903, Hg. spegazzinii Brethes, 1912, and Sa. chloropterus, and in Guatemala from Hg. mesodentatus Komp and Kumm, 1938, Hg. equinus, and Sa. chloropterus during the same time period [144,145]. The vector competence of Guatemalan and Panamanian Haemagogus and Sabethes species for YFV was established via a mouse inoculation experiment [146]. The presumptive reservoir of YFV in Central America is the howler monkey (Alouatta spp.), which is highly susceptible to the infection and has shown high mortality levels during epizootics [138]. After the 1950s, no other urban outbreaks of YF were documented in Central America; however, sporadic outbreaks of sylvatic yellow fever took place during the 1960s in the region [147].

4.1.6. Zika Fever

Zika disease (or Zika fever), caused by the Zika virus (ZIKV, family Flaviviridae, genus Flavivirus), first detected in Uganda in 1947 [148], has received intense scrutiny since its emergence as a significant human pathogen in recent years [149,150,151]. ZIKV is now considered endemic throughout Latin America [152]. In Central America, the first autochthonous cases of Zika fever were documented in November 2015 in El Salvador and Guatemala [153]. The virus rapidly spread through the rest of Central America, with cases reported in Honduras and Panama and later in Costa Rica and Nicaragua [154,155]. By April 2016, ZIKV was present in all Central American countries, with Belize being the last in which introduction was documented [156]. Early into the epidemic, two ZIKV strains obtained in Guatemala in 2015 were sequenced and identified as belonging to the Asian lineage, the same lineage detected in Brazil that was spreading to other countries that year [157]. However, phylogenetic analyses have suggested that ZIKV was likely introduced from Brazil to Honduras as early as late 2014 and spread undetected to other Central American countries [158]. Overall, the rapid introduction and spread of ZIKV through Central America probably resulted from the constant movement of people between these countries as well as environmental and climatic conditions that promote high densities of Ae. aegypti and can drive transmission dynamics [159,160]. Most cases of Zika fever in the region have been reported in El Salvador, Belize, Nicaragua, and Honduras [161].
Although Zika fever incidence has decreased in the past few years, it is still one of the most frequent arboviral diseases in Central America. The overlapping signs and symptoms of dengue fever, Zika fever, and chikungunya fever, as well as the unavailability of widespread laboratory confirmation in many areas of Central America, make diagnosis and epidemiological surveillance of these diseases challenging [162,163]. Moreover, several studies suggest that ZIKV infection rates during the recent American epidemic provided adequate herd immunity to lessen the risk of another large epidemic for at least another 10 years [164]. Nonetheless, the scale of ZIKV transmission has remained patchy and widely variable in the Americas [165].
The establishment of sylvatic cycles involving non-human primates has not been reported yet in the Americas; however, its possibility cannot be ruled out [166]. There is consensus that ZIKV can potentially become established in sylvatic cycles between non-human primates and mosquitoes; however, field evidence is still inconclusive [167]. At least three primate species present throughout Central and South America [168], Ma’s night monkey (Aotus nancymaae Hershkovitz, 1983), Guianan squirrel monkey (Saimiri sciureus [Linnaeus, 1758]), black-tufted marmoset (Callithrix penicillata [Geoffroy, 1812]) are susceptible to ZIKV infection. Although they usually do not develop clinical symptoms, their viremia can potentially support transmission based on experimental infections [169,170]. Regarding potential sylvatic vectors for ZIKV in Central America, experimental studies have shown that Sa. cyaneus (Fabricius, 1905) is a competent vector, but less competent than Ae. aegypti, while Ha. leucocelaenus (Dyar and Shannon, 1924) have shown low rates of dissemination. [171,172].

4.1.7. Chikungunya

Chikungunya virus (CHIKV) (family Togaviridae, genus Alphavirus), the etiological agent of chikungunya fever, was first identified in Tanzania in 1952, and has recently spread throughout tropical and subtropical regions of the world, including the Americas [173,174]. In 2014, the first cases of CHIKV in Central America were reported in El Salvador followed by Guatemala, Costa Rica, Honduras, and Nicaragua [175,176,177]. In Panama, recent studies reported CHIKV seroprevalence strongly associated with densely populated urban and periurban areas, poor socioeconomic conditions, and high infestation indices of the vectors Ae. aegypti and Ae. albopictus [178,179]. Similar results have been found in Nicaragua, where a serosurvey involving over 11,000 participants, found 39% CHIKV seroprevalence associated with sites containing high vector infestation indices [180].
The potential introduction of sylvatic cycles of CHIKV in the Americas is still under investigation. Although serological evidence is weak, there is potential for the introduction of CHIKV sylvatic cycles through spillback events [181]. For instance, experimental studies have shown that some reptiles and amphibians maybe susceptible to infection [182], while there is limited evidence on the role of neotropical non-human primates in the establishment of CHIKV sylvatic cycles [183]. Regarding potential vectors, Ha. leucocelaenus and Ae. terrens (Walker, 1856), two sylvatic species of mosquitoes in the neotropics, appear to be competent experimental vectors of CHIKV [184]. It has been suggested that the level of herd immunity recently observed throughout much of the Americas could limit the occurrence of major new epidemics until the next population generation provide additional amplifying hosts [165].

4.1.8. Dengue Fever

Dengue fever, a disease caused by four dengue viruses (DENV, genus Flavivirus, family Flaviviridae) serotypes, emerged and evolved from sylvatic cycles in Asia and are primarily transmitted to humans by Ae. aegypti mosquitoes. Aedes albopictus could also act as a DENV vector, particularly in areas where Ae. aegypti is absent; however, it has been difficult to directly incriminate Ae. albopictus as a DENV vector during autochthonous arbovirus outbreaks [179,185,186,187]. Moreover, recent evidence suggests that this species maybe effective as a natural reservoir of DENV via transovarial transmission [188].
The first reports of dengue fever in Central America were made in the early 20th century in Panama [189], although the occurrence of human cases could go as far as the 1600s [190]. The failure to eradicate Ae. aegypti populations in the 1960s and 1970s triggered a resurgence of dengue fever in the Americas [190]. Between 1978 and 1980, an increase in dengue fever cases was observed in Guatemala, Belize, and El Salvador [191,192]; then, in 1985, a major epidemic in Nicaragua caused by DENV 1 and DENV 2 affected over 17,000 people [193]. In 1993, Costa Rica and Panama confirmed local transmission and autochthonous cases of dengue fever for the first time in 40 to 50 years [194]. Since then, the virus has become endemic in both countries [195,196]. Further details on the first reports of different DENV subtypes in Central America can be found elsewhere [190,191,197]. The re-emergence of dengue fever in Central America, just as in other parts of the Americas, has been attributed to several factors, including diminished political importance in countries where eradication was achieved, reduction in surveillance and other public health resources, development of insecticide resistance and resurgence of Ae. aegypti populations, establishment of Ae. albopictus, social disparities, and increased urbanization in the region [179,190,198,199,200].
Today, there is little evidence that establishes the existence of sylvatic DENV transmission cycles in the Americas. Although several neotropical non-human primate species, including white-faced capuchin monkeys (Cebus capucinus [Linnaeus, 1758]), spider monkeys (Ateles spp.), and mantled howler monkeys (A. palliata), are susceptible to DENV infection, serological surveys of Panamanian monkeys failed to show evidence of enzootic circulation [201,202]. Recently, serological and molecular evidence of DENV infection was reported in several species of non-human primates in Costa Rica, which suggest potential bidirectional exposures due to the presence of bridging vectors or an increase in human–wildlife contacts [85,87].

4.1.9. Mayaro Fever

Mayaro virus (MAYV) is a neotropical Alphavirus (family Togaviridae) member of the Semliki Forest antigenic complex initially isolated in Trinidad in 1954 [203]. It has been detected throughout the Americas, from Mexico to Brazil and the Caribbean [204], and it is considered a neglected viral disease in humans [203,204]. Infection with MAYV is characterized by a self-limiting febrile illness accompanied by long term incapacitating arthralgia [203]; however, severe cases and even deaths have also been reported [204]. The virus circulates in continuous sylvatic cycles between canopy dwelling Hg. janthynomis Dyar, 1921 and non-human primates, including howler monkeys (A. seniculus [Linnaeus, 1766], A. caraya (Humbolt, 1812), and A. villosa [Gray, 1845]), silvery marmosets (C. argentata [Linnaeus, 1771]), and capuchin monkeys (Sapajus spp.). Human cases are typically associated and restricted to the edges of neotropical rain forests causing limited outbreaks [204,205]. Sylvatic cycles may also include other animals, such as sloths, sheep, rodents, horses, reptiles, agoutis, and birds, but their role in transmission is still unclear [206,207]. Vector competence for MAYV and numerous field isolates have also been reported with other mosquito species, including Anopheles spp., Culex spp., Sabethes spp., Mansonia spp., and Psorophora spp. [206,208]. In Central America, very little is known about the epidemiology and ecology of MAYV and its potential for emergence as an important pathogen. Only a small number of field studies have been conducted in Central America. In Panama, Guatemala, and Costa Rica, MAYV has been detected in humans, sentinel monkeys, wild howler monkeys (A. villosa), and agoutis (Dasyprocta punctata Gray, 1842) [82,132,205,206,209,210,211], while in mosquitoes, the virus has been isolated in Panama from Ps. ferox (Humbolt, 1819) and Cx. (Mel.) vomerifer [118,212].
Disease spillover into rural and peri-urban areas has been reported and there is increasing concern that MAYV could become urbanized since it could adapt to replicate in the urban vectors Ae. aegypti and Ae. albopictus, whose competence has been reported in both the laboratory and the field [204,213,214]. The number of true MAYV cases in the Americas is potentially higher than what has been reported due in part to potential misdiagnosis and underdiagnosis, clinical similarities to other arboviral infections, and coinfections with other endemic arboviruses, such as DENV and CHIKV [204].

4.2. Malaria in Central America

Malaria, a febrile disease caused by Plasmodium spp. parasites transmitted by Anopheles spp. mosquitoes, causes the highest morbidity and mortality compared to any other VBD worldwide [215]. While less than 1% of the 2019 global malaria burden was recorded in the Americas, the region remains endemic for the disease. In Central America, there were nearly 20,000 autochthonous malaria cases recorded in 2019, with cases reported in five out of seven countries within the region: Nicaragua (13,200)), Guatemala (2100), Panama (1600), Honduras (330), and Costa Rica (91) [215]. Almost all these cases were caused by P. vivax (Grassi and Feletti, 1890) (74%) and P. falciparum (Welch, 1897) (23%), which are transmitted mainly by An. albimanus Wiedemann, 1820, An. pseudopuntipennis Theobald, 1901, An. darlingi Root, 1896, An. marajoara-Galvao and Damasceno, 1942, An. aquasalis Curry, 1932, An. albitarsis Lynch Arribalzaga, 1878, and An. vestitipennis Dyar and Knab, 1906, reflecting a remarkable diversity of competent vectors with diverse ecologies and bionomics [215,216,217,218,219,220,221].
For broader context, these 2019 regional case estimates represent more than a 50% reduction from 2010 estimates, when nearly 40,000 cases were recorded, and over 80% reduction from 2000 estimates when more than 340,000 cases were reported [222]. Despite some challenges that persist, current case numbers highlight the remarkable progress and numerous successes achieved by malaria control and elimination programs in the region [223]. For example, El Salvador was recently certified as malaria free while Belize, Costa Rica, Guatemala, Honduras, and Panama have the potential to eliminate malaria within the next five years [224].
While it is important to reflect on this encouraging progress and celebrate recent malaria control successes across Central America, it is equally important for the region not to let its collective guard down. With multiple competent malaria vectors naturally occurring throughout its geography [216], Central America remains vulnerable to the re-introduction of malaria across its entire range. Furthermore, the influx of people from malaria endemic regions of the Americas, both travelers and migrants, as well as international travelers from other malaria endemic regions, creates a low but constant risk of Plasmodium parasite re-introduction into areas with greatly reduced local transmission [225,226,227,228]. This risk is exacerbated by the prospects of a changing climate, deforestation, changing land-use patterns, and increasing drug and insecticide resistance [229,230].

4.3. Tick-Borne Diseases in Central America

In Central America, recent studies on the ecology of tick-borne diseases are limited for most countries, and outbreaks and case reports in humans are mostly sporadic and infrequent. However, there is evidence of possible zoonotic human pathogens in ticks and/or vertebrate animals, such as Anaplasma phagocytophilum (Foggie, 1949), Ehrlichia canis (Donatien and Lestoquard, 1935), E. chaffeensis Anderson et al., 1992, E. ewingii Anderson et al., 1992, Rickettsia rickettsii (Wolbach, 1919), R. parkeri Lackman et al., 1965; including the strain Atlantic Rainforest), R. akari Huebner et al., 1946, R. africae Kelly et al., 1996, Borrelia burgdorferi s.l. Johnson et al., 1984, and Borrelia sp. (causing tick-borne relapsing fever), as well as several other microorganisms that may infect ticks and/or vertebrate animals for which pathogenicity is unknown, or that are not known to cause human disease [231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264]. In humans, the most common tick-borne diseases reported in Central America in the past few decades are spotted fever group rickettsioses and ehrlichioses, followed by isolated reports of probable Lyme disease in which the bacteria were not directly detected or identified [250,252,265,266,267,268,269,270,271]. In addition, there are records of tick-borne relapsing fever and serological evidence of exposure to R. akari [235,248,272], while human anaplasmosis and R. parkeri spotted fevers have yet to be confirmed in the region. In most cases of outbreak descriptions of human tick-borne diseases, the main vectors and vertebrate reservoirs implicated in local transmission cycles have not been clearly identified.

4.3.1. Rickettsioses

Bacteria of the genus Rickettsia (Rickettsiales: family Rickettsiaceae) are responsible for various clinical rickettsioses in humans; in the Americas, R. rickettsii spotted fever is the most relevant in terms of morbidity and mortality [273]. Tick-borne rickettsioses have been known to occur in Central America since the 1950s [252,274]. The first cases were identified and confirmed by isolation of R. rickettsii from humans and ticks in Panama and later in Costa Rica [252,271]. Ecological investigations to identify possible vertebrate hosts and tick vectors have been carried out in these countries throughout the decades. For instance, Amblyomma mixtum Koch, 1844 (previously referred to as A. cajennense) has been implicated as a probable vector of R. rickettsii to humans in Panama and probably Costa Rica [252,271]. This agrees with the information available about transmission of rickettsiae in South America, where several tick species belonging to the “A. cajennense species group” are considered vectors of R. rickettsii [275,276]. Moreover, the brown dog tick, Rhipicephalus sanguineus s.l. (Latreille, 1806), has also been investigated as a possible vector of urban human cases of R. rickettsii infection in Panama [252,277]. As for other spotted fever group rickettsiae, there are reports of human disease and outbreaks in Guatemala, Honduras, Nicaragua, although the species was not identified in these cases [278,279,280]. In addition, there are historical records in which antibodies against R. akari (or an antigenically similar species) have been detected in humans in Central America, but there are no records of direct detection of the bacterium in ticks or human cases of rickettsial pox [272]. Rickettsia akari transmission is usually associated with hematophagous mites, but it has been detected in humans, dogs, and ticks in neighboring Yucatan, Mexico [281,282]. Recently, DNA of R. africae was detected in A. ovale Koch, 1844 ticks from Nicaragua, but there are no human cases of African tick-bite fever confirmed to this date [254].

4.3.2. Ehrlichiosis and Anaplasmosis

The most relevant species of Ehrlichia and Anaplasma (Rickettsiales: family Anaplasmataceae) in terms of morbidity in humans are E. chaffeensis and A. phagocytophilum, which cause human monocytic ehrlichiosis and human granulocytic anaplasmosis, respectively [283,284]. Different species of Ehrlichia and Anaplasma are known to occur in Central America, especially in domestic animals (e.g., E. canis, E. chaffeensis, Ehrlichia sp. H7, A. platys (Dumler et al., 2001), A. phagocytophilum), while E. ewingii have been detected only through DNA in ticks [231,234,236,237,238,239,241,242,243,244,246,253,255,257,285]. In humans, there are several reports of possible ehrlichiosis/anaplasmosis diagnosed by observation of morulae in stained blood smears, by indirect antigen or antibody detection, without isolation, or by molecular identification of the species [250,266,267,269]. In 2015, E. chaffeensis was confirmed in humans by polymerase chain reaction (PCR) and DNA sequencing in Costa Rica [245]. In addition, E. canis DNA has also been reported in humans in Costa Rica and in one case in Panama, which was the only one associated with severe disease [251,258]. Anaplasma phagocytophilum DNA has been detected repeatedly in ticks and domestic animals, but this species has not been confirmed in human infections [234,236,239,249,255,257]. In areas of North America where human ehrlichiosis and anaplasmosis are common, the principal vectors are Amblyomma americanum (Linnaeus, 1758) and Ixodes spp. (I. scapularis Say, 1821; I. pacificus Cooley and Kohls, 1943; and others), respectively, but these ticks are not found in Central America or South America, where the possible vectors are still being determined [286,287,288]. As for E. canis, studies have confirmed that R. sanguineus s.l. is the vector within the dog population in Central America, in correspondence to what is known for other regions [249,286,289].

4.3.3. Borrelioses

The genus Borrelia (Spirochaetales: family Borreliaceae) includes spirochaetal bacteria that are mostly associated with ticks and reptiles, but also lice [290,291]. Currently, half of the named species (21 of 42) belong to the “relapsing-fever associated” group, and almost all of the other half (20 species) to the “Lyme borreliosis associated” group (Borrelia burgdorferi s.l.) [291].
In Central America, the first descriptions of Borrelia spp. spirochetes in human blood samples were reported in Panama in 1909 [292]. Although a species of Borrelia was not assigned, subsequent studies confirmed that tick-borne relapsing fever was common in humans, and transmission cycles in Panama were associated with argasid ticks that can sometimes feed on humans, such as Ornithodoros talaje (Guérin-Méneville, 1849) and O. rudis Karsch, 1880 (=O. venezuelensis), and on animals such as armadillos and opossums [248,292,293,294]. Later, the bacterium implicated in Panama was presumed to be the same species transmitted by O. rudis infecting humans in South America, referred to as B. venezuelensis (Brumpt, 1921), although this has not been confirmed with certainty [295]. Unfortunately, no other cases have been reported in the last decades in Panama and the precise identification of the pathogen has not been determined. However, a case of relapsing fever was diagnosed more recently in a traveler who visited areas of Guatemala and the border with Belize, confirming that infections with Borrelia spp., and causing relapsing fever, are probably present throughout the region and may be unreported [235,248].
In contrast, B. burgdorferi s.l. has been suspected in a few imported and autochthonous human cases in Honduras and Costa Rica, although there is only indirect serological evidence of infection [265,268,270]. The principal vectors of Lyme disease in North America, Europe, and Asia are ticks of the I. ricinus species complex, including I. ricinus (Linnaeus, 1758), I. scapularis, I. pacificus, and I. persulcatus Schulze, 1930 [296]. These species are not present in neotropical areas and most Ixodes spp. in Central America do not frequently bite humans, which supports the idea that Lyme disease does not occur or it is rare in the region [287,297]. Recently, bacterial DNA identified as B. burgdorferi s.l. was detected in Ixodes c.f. boliviensis Neumann, 1904 from Panama, although the ability of this bacterium to infect humans and cause Lyme disease is currently unknown [263].

5. Impact of Deforestation, Urbanization, and Changing Land Use Patterns on the Ecology of Mosquito and Tick-Borne Diseases in Central America

5.1. Impact on Mosquito-Borne Arboviral Diseases

Major knowledge gaps persist on the enzootic transmission cycles of most arboviral diseases endemic to Central America, including information on geographic distribution, vertebrate reservoir species, mosquito vectors, and human disease risk. Furthermore, little is known about the potential effects of increasing deforestation, forest fragmentation, and urbanization on the ecology and epidemiology of these diseases in the region. While dengue fever has received the most attention throughout Central America [125,298], research on other arboviral diseases in the region have been conducted mostly in Panama and Costa Rica, the countries with highest economic development and significant public health investments in the region [30]. Arboviral diseases present in Central America are of increasing public health concern due to their recent emergence or resurgence and most are considered neglected [6,112,129,203].
Changes in land use can significantly affect mosquito population dynamics, oviposition, abundance, and host-seeking behaviors. Numerous studies have shown that modifications in land use could result in the loss of hosts, predators, and mosquito habitats, which may affect vector population dynamics, abundance, oviposition, and host-seeking behaviors. These environmental modifications could drive mosquito vectors to search for new blood-feeding sources and alternative breeding habitats [3,23,299], promote higher host contact rates, and initiate disease spillover events, introducing new infections into susceptible human populations [300,301,302]. Other factors, such as human migration and urbanization, can significantly impact the distribution and occurrence of arboviruses by driving their emergence or resurgence. Moreover, different sociodemographic factors associated with urbanization, such as social inequality, health care capacity, food safety, population density, and inadequate infrastructure, could be associated with human disease outbreaks [301,303].
Recent studies in the Amazon region have focused on the relationship between deforestation, vector mosquito abundance, and arbovirus outbreaks [299,302,304]. Forest fragments and growing agricultural areas show higher abundance, richness, and diversity of mosquito species. Conversely, mosquito abundance and richness decreased in the urban environment [304,305]. Consequently, anthropophilic species, such as Ae. aegypti, could become very efficient vectors in urban areas compared to Culex spp. and Ae. albopictus, which feed on a broader range of hosts [303]. Moreover, several species that serve as vectors of multiple human pathogens appear to benefit from deforestation, including species found in Central America, such as An. darlingi, Ae. aegypti, and Cx. quinquefasciatus [300].
Recent studies in central Panama found that mosquito diversity peaks in pristine forest habitats, such as old-growth forests, while the abundance of colonist mosquito vectors (e.g., disturbed-areas specialists) increased significantly in highly disturbed forest sites [306,307]. These differences in mosquito abundances and diversity across various levels of forest disturbance could be attributed to changes in ecological conditions that maybe affecting the quality and availability of larval breeding sites. All together, these results suggest that forest disturbance could drive VBD emergence and increase risk for disease transmission in recently disturbed tropical regions due to the abundance of colonist-vector species. These mosquito vectors tend to be opportunistic feeders, targeting hosts that are readily available [308]. Moreover, a study by Bayles et al. (2020) in Costa Rica found that areas with a high proportion of anthropogenic-altered landscapes, especially in areas with a high degree of agricultural intensification, have the highest transmission risk for VBDs, such as ZIKV, compared to protected areas [309].
The relationship between yellow fever and deforestation was initially established in the first half of the 20th century when ecological observations were made regarding the ability of Haemagogus mosquitoes to survive in forests with some degree of deforestation pressure [310]. In recent years, the number of cases of sylvatic yellow fever cases in Brazil have increased significantly in epizootic or transition areas and have been linked to large-scale deforestation and forest fragmentation within urbanized settings [311,312]. The main vectors of YFV in the Americas, Haemagogus spp. and Sabethes spp., share similar ecological and bionomic characteristics, including acrodendrophilous behavior and opportunistic feeding habits [313]. Studies on these vectors have shown that they are more abundant in sites with lower forest cover suggesting that forest fragmentation could be a critical factor in determining their presence [314]. For example, Sa. chloropterus was recently found in deforested areas adjacent to a primary forest in Costa Rica [315], indicating that deforestation could increase microhabitats for mosquito colonization, such as phytotelma and tree holes, typically used by some enzootic yellow fever vectors [142,316,317]. Other studies suggest that deforestation could be pushing YFV vectors to adapt their feeding habits due to pressure from habitat disturbance. For instance, Hg. janthinomys Dyar, 1921 and other YFV vectors in Brazil were frequently observed descending to ground level in the presence of humans conducting wood extraction activities or when the non-human primate population number is small [318]. Moreover, others have found that their feeding behavior is more prolonged and aggressive at ground level than in the forest canopy [319]. Haemagogus spp. and Sabethes spp. are also eclectic feeders able to shift their host seeking among various wild or domestic animals and human hosts according to their local availability, frequently moving vertically from the top of trees to feed at ground level. However, it is not clear if this eclectic feeding behavior is innate or if it has been driven by an increase in deforestation in regions where this species occurs [134,313,320,321]. Although there is no current evidence of active YFV transmission by Ae. aegypti or Ae. albopictus [322], experimental studies have determined that local domestic and peridomestic mosquito populations may be competent vectors for YFV strains circulating in South America [323].
The recent reemergence and dispersion of yellow fever in Brazil, potentially driven forest fragmentation near urbanized areas [312], raises the possibility of its resurgence elsewhere in the continent, including parts of Central America, where these sylvatic vectors are also present and similar ecological disturbances are taking place. The urbanization of yellow fever is one of the biggest infectious disease threats in Latin America [324]. The establishment of urban cycles, via Ae. aegypti and Ae. albopictus, could be catastrophic since these vectors are widely distributed throughout the region [318]. Most people living in urban areas of Latin America are not vaccinated, which could lead to high disease incidence that could further spread transmission [325]. It has been estimated that the proportion of infected people during an epizootic could be up to 29% under these conditions [326].
Deforestation can also affect non-human primate reservoirs of YFV and other arboviruses in the Americas. Recent studies have found a strong association between non-human primate diversity, their mobility patterns through forests, and the presence of human yellow fever cases [327,328]. The importance of howler monkeys (Alouatta spp.) as main reservoir host for several arboviruses, such as YFV, and their behavior must be further explored. In Costa Rica, Alouatta monkeys spend most of their day (77%) in an inactive state while a smaller proportion of their time is spent moving through the forest, feeding, or engaging in social behavior. In contrast, capuchin monkeys (Cebus spp.) spend most of the time (70–80%) day foraging or conducting other active behaviors [329]. The low activity budget of Alouatta monkeys could make them more susceptible to mosquito bites and YFV transmission, given that host movement has an important influence on the R0 in vector-borne disease systems [330]. Furthermore, Alouatta spp. can adjust their behavior to accommodate different feeding strategies as their forest habitat changes. These monkeys are found in both modified and undisturbed habitats throughout their distribution in Mexico and Central America. Their ability to adapt to changing environments is evidenced in their continued presence in regions where white-faced capuchins and spider monkeys no longer exist [331]. However, recent studies indicate that this behavior may not be spatially consistent. A recent study by Schreirer et al. (2021) in Costa Rica found that A. palliata do not appear to adjust their activity or spatial cohesion patterns in response to anthropogenic edge effects due to forest fragmentation, suggesting that these monkeys exhibit less behavioral flexibility than A. palliata at some other sites [332]. The high susceptibility of A. palliata to YFV infection and movement within disturbed or fragmented habitats could increase the risk of arbovirus transportation and exposure to humans in urbanized forest edges [333,334,335,336].
In Latin America, the relationship between DENV and deforestation has not been clearly established or evidence is scarce. For instance, studies conducted in the Brazilian Amazon have found no association [337,338]. Studies conducted in other endemic DENV regions suggest that land use changes following deforestation (e.g., agriculture, settlements, or road construction) have been identified as significant dengue fever risk factors [300,339]. An increase in human population densities benefits DENV and its vectors through the establishment of artificial breeding habitats (i.e., water storage) and more frequent contact with susceptible populations, thus increasing the risk for virus transmission in rural and urban settings [340]. Other factors, such as proximity to paved roads and house clustering, could also promote breeding habitats [341]. The expansion of urban centers and bordering rural areas closer to the forest edge increases the chance of Ae. aegypti dispersal and colonization. For example, a study in the Peruvian Amazon by Guagliardo et al. (2014) found that the geographic spread of Ae. aegypti is driven by human transportation networks along rivers and highways in proximity to the city [342]. In this region, urban development and the availability of oviposition sites appear to contribute to the colonization of Ae. aegypti along roads. Moreover, unintentional transport of mosquitoes on boats disperses their populations over long distances into rural, riverine communities [342].
Forest fragmentation driven by land use changes could also facilitate movement of adult mosquito vectors between communities. For instance, a mark-release-recapture study by Russell et al. (2005) reported that released Ae. aegypti exhibit nonrandom patterns of dispersal with larger proportion of mosquitoes being recaptured along a corridor with heavy shading from trees and vegetation [343]. In Central America, several studies have been conducted using several vegetation indexes to evaluate correlations between vegetation coverage and dengue incidence. For example, a study by Fuller at al. (2009) was able to explain up to 83% of the variability in weekly cases of dengue fever and dengue hemorrhagic fever in Costa Rica between 2003 and 2007 based on vegetation indexes [344]. In another study, high dengue fever incidence correlated spatially with high temperature, low altitude, and a high vegetation index [345]. Moreover, ovitrap egg counts are also associated with vegetation indexes, which are dependent on temperature and rainfall, well known factors affecting vector abundance [346,347,348]. Interestingly, other studies conducted in Central America revealed that dengue cases may be directly associated with tree cover and non-forested areas and inversely associated with built areas, probably because more larval habitats are available in larger, tree-covered outdoor areas with vegetation during rainfall episodes [349,350,351].
In Central America, there are increasing concerns regarding the expansion of Ae. albopictus throughout the region. This important arbovirus vector species was initially detected in El Salvador, Honduras, and Guatemala in 1995; later in Panama and Nicaragua in 2002–2003; and Costa Rica and Belize between 2007 and 2009 [352,353,354,355,356]. During the last decade, its distribution in Central America has expanded which is evidenced by surveillance and field study reports [357,358,359,360], as well as by population genetic studies in Panama and Costa Rica [361]. Recent studies in Costa Rica demonstrate the adaptive capacity of this species to changes in land use and expansion of urbanized areas. For example, a study by Calderon-Arguedas et al. (2019) detected all four DENV serotypes in both Ae. albopictus female and male adults, and larvae associated with commercial pineapple farming, suggesting local horizontal and vertical transmission of DENV in the region [362]. Moreover, during these studies, most adult Ae. albopictus were collected within forest galleries bordering pineapple fields, which may indicate that forest edge habitats could serve as ecological refuges for this species in DENV endemic areas [186,362].
The movement of pathogens from sylvatic to amplified human transmission cycles in rural and urban settings (e.g., disease spillover) have been commonly reported in the literature; however, important questions on specific mechanisms still linger [363]. These events are typically associated with human and animal populations near forest edges, leading occasionally to urban cycles involving peridomestic vectors [304,364]. Arboviral disease spillover events in Central America are possible considering that these viruses share several ecological characteristics, including vectoring by anthropophilic mosquitoes in urban and rural transmission cycles, use of humans as main reservoirs, and their occurrence in habitats associated with expanding agriculture and urbanization near forest edges [150,173,365]. Several studies in Central America suggest the potential for disease spillover of sylvatic arbovirus transmission cycles into rural and urbanized areas. For example, in Panama, evidence suggests that human cases of VEEV infections are associated with spillover infections from an enzootic cycle involving sylvatic rodents and Cx. (Melanoconion) spp. mosquitoes [82]. Recent clusters of human cases have occurred in Darien and Panama Provinces near rainforest and swamp habitats. In addition, entry of humans into forest galleries appears to be a risk factor for VEEV transmission [82,113]. Other studies suggest frequent occurrence of spillover events associated with other sylvatic arboviruses in Central America, such as MADV and MAYV [82,118,129,203,211].
Conversely, spillback (e.g., reverse zoonosis) involves the movement of pathogens from urban/rural transmission cycles to sylvatic cycles between wild non-human primates and forest mosquitoes [366]. In the Americas, spillback events have been reported in several countries, including Argentina, Brazil, Colombia, and French Guyana, involving DENV, ZIKV, YFV, CHIKV, neotropical wild primates, and known mosquito vectors [150,363,366,367]. A recent study carried out in Costa Rica found evidence of SLEV, WNV, and DENV seroprevalence in the primate species A. palliata, A. geoffroyi, and S. oerstedii (Reinhardt, 1872). Based on the collection of seropositive samples coinciding temporarily and spatially with peaks of infections in human populations, their study concluded that DENV exposure in these monkeys occurred through bidirectional human–wildlife contact or bridging vectors [85].
The ecological mechanisms by which forest disturbance triggers disease spillback events are still poorly understood, which makes it difficult to predict disease risk scenarios for future outbreaks in human-altered forest habitats and the potential establishment of sylvatic transmission cycles [363,366]. In Central America, where arbovirus-susceptible wild primates and known mosquito vectors are present (e.g., Haemagogus spp., Sabethes spp.), the occurrence of any one or a combination of epidemiological factors that could drive transmission is highly plausible, considering the high level of deforestation, extensive land use changes, and accelerating development of human settlements near forest edges. It is also possible that immunity of monkeys against active sylvatic arboviruses, such as YFV, could inhibit infections by DENV and ZIKV and, thus, evade the emergence of sylvatic cycles [366]. However, considering that YFV epizootics have not been reported in Central America in decades, cross-immunity to flaviviruses in non-human primates in the region may not be sufficient to suppress other arboviral infections.
Several mosquito species distributed throughout Central America could serve as bridging vectors and initiate spillback events due to their bionomic plasticity. For example, Ae. albopictus is found predominantly in urban areas, but also spreads into rural, semi-rural, and forest areas, which could potentially drive arboviruses, such as ZIKV, DENV, and CHIKV, into sylvatic transmission cycles [363,366]. Moreover, sylvatic vectors like Haemagogus spp. could also serve as bridging vectors since they can be opportunistic feeders, frequently imbibing on humans and monkeys, in environmentally disturbed regions along forest edges [140,313,321,368]. These mosquito vectors tend to be opportunistic feeders, targeting hosts that are immediately available [308]. This evidence demonstrates that disease spillover is not a random process but may be the result of forest degradation increasing the likelihood of contact between humans and mosquito vectors in forest-altered sites [306,307].
Both spillover and spillback events occur due to increasing human activities near adjacent forest areas and where humans closely interact with wild animals and their pathogens, facilitating the “jump” or “shift” of new pathogens between different host species [302]. Despite our current knowledge of these diseases, it is still difficult to predict the risk for future outbreaks since the ecological mechanisms that drive spillovers and spillbacks in human-modified forest habitats are not well defined. Considering the accelerated rate of deforestation, unplanned urbanization and agricultural expansion near forest edges, high endemicity of multiple arboviruses, and close human contact with wildlife and vectors taking place in Central America, there is a tangible possibility that spillback and spillover events may be more frequent than reported and may surge in the future. Therefore, it is critical that more intense epidemiological and ecological monitoring systems are established in the region to help predict future epizootics and epidemics.

5.2. Impact on Malaria

In recent decades, compelling evidence linking deforestation and land use changes with malaria transmission and anopheline vector ecology in Central America have been demonstrated [229,369,370,371]. Deforestation and land use changes can have profound anthropogenic environmental effects on malaria transmission. In general, evidence shows that, in the Americas, deforestation leads to an increased potential for malaria transmission, particularly in communities where the vector An. darlingi is present [372,373,374,375,376]. Working specifically in the Darien Province of Panama, Loaiza et al. (2017) correlated increased malaria incidence rates with extensive changes in landscape, including deforestation, and an associated expansion of An. darlingi habitat. These findings were recently supported when An. darlingi was implicated as an important vector of P. vivax in the Darien region [306,377]. Studies in other parts of Latin America have found that the human-biting activity of An. darlingi is more intense in areas associated with deforestation and road development [378], while a study by Loaiza et al. (2008) found that the Central American malaria vectors, An. vestitipennis and An. neivai Howard, Dyar and Knab, 1913 are closely associated with specific forms of vegetation and land-use practices in Panama [217].
Other studies have suggested that agricultural land use changes and environmental pollution can significantly alter natural malaria vector habitats and even affect mosquito diversity driving disease prevalence and more dominant vector populations. For instance, a study by Chapin and Wasserstrom (1981) showed that, as early as the 1970s, expanding the acreage used for cotton cultivation, and the associated increases in pesticide use in Guatemala, Nicaragua, and El Salvador, correlated with both the emergence of DDT resistance in local malaria vectors and rapid increases in annual malaria case incidence rates, in some cases three times greater than previously recorded [379]. Similar findings were noted in Belize, where malathion use in sugarcane cultivation was associated with malathion resistance in local An. albimanus populations [380]. Another compelling case study from Belize highlights how phosphorous runoff from sugarcane cultivation in proximity to marshlands increases the amount of dense cattail (Typha domingensis) marsh habitat favored by An. vestitipennis, the most efficient malaria vector in Northern Belize, and is associated with higher larval densities [381,382]. Interestingly, a strategy to reduce this cattail habitat through environmental management (e.g., mowing and burning) to control An. vestitipennis populations in the area was marginally successful, with one important caveat: while the habitat management strategies significantly reduced An. vestitipennis larval populations, the resulting altered marshland habitats proved suitable for another important local vector species, An. albimanus, whose populations increased [383]. Changes in landscape structure, in the form forest cover percentage and forest density, could also lead to dominant vector populations, such as An. darlingi, increasing the risk for malaria transmission [384].
Another aspect of environmental change, like urbanization, is the global expansion of invasive malaria vectors, like An. stephensi Liston, 1901, and its potential implications for malaria control and elimination throughout Central America. Often described as a highly competent malaria vector able to breed in human-made containers, An. stephensi is known to establish and sustain outbreaks of urban malaria in previously malaria-free regions [385,386,387]. While the arrival and establishment of An. stephensi in Central America is probably less likely than in Africa or other parts of Asia [385], it is nonetheless realistic to consider the possibility. Regional receptivity to the vector and its potential to impact local malaria control and elimination initiatives is poorly understood but potentially worrisome given the rapid urbanization of population centers, the high abundance of peridomestic habitats, its invasive potential, and intense human migration from malaria-endemic regions through Central America [388,389].
Although the risk for malaria transmission in Central America has been steadily declining in recent years, the intensification of human migration and illegal drug trafficking throughout the region, which are driving deforestation and land use changes, have the potential to reignite the resurgence of malaria in the region [370]. Currently, the La Mosquitia tropical forest region, located between Honduras and Nicaragua, is one of the most malaria endemic locations in Central America [229]. Although this region is part of the protected MBC, it continues to be threatened by illegal drug smuggling, cattle ranching, logging, and land grabbing [22,38,50]. The recent increase in malaria cases in Panama, Costa Rica, and Nicaragua, especially of the more severe form, P. falciparum, raises concerns about the possibility of eradicating malaria in those countries in the next few years. This recent resurgence has been linked to imported cases from foreign migrants passing through the region [390]. While numerous findings highlight the effects of land use and micro and macro habitat changes have on of malaria vectors and disease risk across Central America, it is also evident that more research into these complex relationships and interactions is desperately needed. An improved understanding of anopheline vector ecologies will help inform on how malaria transmission dynamics might change over time and guide future malaria control and elimination activities in the region.

5.3. Impact on Tick-Borne Diseases

Studies in different areas of the world have demonstrated that deforestation practices and forest fragmentation could both decrease and modify biodiversity, which may lead to a greater abundance of fewer vertebrate species and an increased prevalence of their associated ticks that can thrive in modified habitats [391,392,393,394,395,396,397]. In addition, some domestic animals, such as dogs and horses, may act as bridges for ticks and zoonotic pathogens from wildlife to humans, resulting in disease spillover events into urban environments [398,399,400,401]. It is also important to consider environmental factors, such as temperature, precipitation and humidity, critical to host and tick survival, which could also change in modified environments. Each host, vector, and pathogen has its own requirements, which must be met to ensure their establishment and survival [394,402,403,404,405,406].
Zoonotic pathogens may resurge depending on the conditions present, such as availability of humans and other domestic animals, tick vectors, and environmental conditions. When conditions are optimal and disease vectors and suitable vertebrate reservoir hosts become abundant, pathogen transmission risk may increase. Decreased contact between ticks and vertebrate hosts not relevant in pathogen transmission can also increase disease risk, which could cause a dilution effect. However, the mechanisms of this effect depend on scale and overall context, including local land use changes, climate/microclimate conditions, host communities, and their interactions [395,397]. Therefore, if humans encounter tick vectors in these deforested or disturbed areas, there may be a greater risk of zoonotic disease transmission.
In general, the scientific literature concerning tick-borne diseases in Central America focuses on the distribution or presence of tick species and their associations with vertebrate hosts and reports of human infections by specific pathogens (for examples see [233,234,236,238,241,243,244,247,249,253,254,255,257,259,261,262,263,264,278,285,293,404,407,408,409,410,411,412,413]). However, very few studies in the region have focused on the influence of land use changes on pathogen and vector ecology. Except for recent studies in Panama [405,414,415], no other published reports in the scientific literature have directly and specifically investigated the effects of forest modification, deforestation, or land use changes on tick species, or on pathogen transmission dynamics.
Among the few studies conducted in the region, one conducted in the Chiriquí province of Panama aimed to identify environmental predictors of tick burdens on dogs, as well as environmental predictors of pathogens in these ticks, including vegetation cover and land use change [405]. Although the most relevant predictor of tick prevalence and abundance was elevation, a decrease in vegetation cover linked to increased urbanization, was also associated with the highest tick prevalence and abundance. This is probably due to the close relationship of R. sanguineus s.l., the most common dog tick in the region, with human dwellings [405]. In areas with higher vegetation cover and less urbanization, other tick species became relevant, including A. ovale and I. c.f. boliviensis. Therefore, deforestation linked to increased urbanization appears to hinder survival and establishment of ticks, such as A. ovale and I. cf. boliviensis, while benefitting R. sanguineus s.l. [405]. In areas where R. sanguineus s.l. may act as a vector of zoonotic pathogens, decreases in forest cover and urbanization may increase transmission risk to humans.
Another study in Panama investigated tick diversity in a gradient of decreasing disturbance (low trees and shrubs, secondary forest, secondary forest crossed by a creek, and secondary–primary transition forests also crossed by a creek) and increasing forest cover along the 17 km Oleoducto trail in Soberania National Park [414]. Results showed that the most disturbed site had fewer tick–host interactions, compared with the other sites, and showed low tick diversity and few potential hosts [414]. Notably, this site included more A. mixtum ticks, which are common in diverse environments, including disturbed landscapes. Moreover, secondary and transition forests had a higher diversity of tick species and tick-host interactions, including a high abundance and diversity of birds and small mammals as well as several medium and large sized mammals that could serve as hosts for different tick species [414]. Therefore, this study suggests that a decrease in tick and host diversity may be a consequence of deforestation and forest disturbances in Central America. If these tick populations and their small mammal hosts are relevant in zoonotic transmission, deforestation in the region may also increase the risk for human infections due to diversity loss [395,397].
Additionally in Panama, a recent study investigated both vertebrate and tick communities in forest fragments, specifically in forested islands and peninsulas in the Barro Colorado Nature Monument, which were formed as a result of of damming the Chagres River about a century ago [415]. Its main findings indicate that tick species richness and abundance in this area increases according to the availability of vertebrate host species richness and wildlife biomass, which is higher in larger forest patches. In addition, tick species that have a broad range of vertebrate hosts as adults (e.g., generalists) increase in abundance when host diversity and specialist tick species is low [415]. Therefore, when human activities cause forest fragmentation, there is a decrease in wildlife biodiversity, while smaller sized tick hosts and generalist tick species may become more abundant. When these include possible reservoirs and vectors of pathogens, the risk of transmission between vertebrate species, including humans, can also increase [397].
Other studies in Panama have documented that most local species of ticks are host- specific as adults or at least they are associated with taxonomically related vertebrate species [416]. Therefore, a notable change in host diversity driven by deforestation and other land use changes could result in significant changes in local tick populations and disease transmission dynamics. For instance, the most common ticks on bovines in Central America are Rhipicephalus microplus (Canestrini, 1888) and Amblyomma mixtum (formerly cited as Boophilus microplus and A. cajennense, respectively), whereas horses are usually parasitized by Dermacentor nitens Neumann, 1897 (=Anocentor nitens) and A. mixtum [231,234,259,402,404,408,417,418,419]. Depending on the specific area, other frequently found species include A. maculatum Koch, 1844, A. cf. oblongoguttatum Koch, 1844, and/or A. parvum Aragão, 1908, among others [408,418,419]. Therefore, deforestation associated with cattle ranching may increase local populations of these ticks driven by changes in host abundance if other environmental conditions are suitable for ticks to complete their development. The case of A. mixtum is of particular interest since this species is considered a generalist biter frequently feeding on humans in areas of Central America [276,297,404,407,410,411,420]. This tick species has been identified as a vector of R. rickettsii in Costa Rica and Panama [237,404,411,421]. Moreover, there is molecular evidence of other pathogens detected in A. mixtum in Central America, including E. chaffeensis [237]. Amblyomma maculatum is the main vector of R. parkeri, which has been reported in Belize [413,422]. It is also relevant to note that there are additional reports of bovines and equines infected by A. phagocytophilum and detections of E. chaffeensis, E. ewingii, and/or A. phagocyophilum DNA in unidentified Amblyomma sp., D. nitens, and R. microplus collected from horses and cows in Guatemala and Panama [234,236]. Furthermore, R. microplus and D. nitens can also parasitize white tail deer (Odocoileus virginianus [Zimmermann, 1780]) in areas where they coexist with cattle and horses [407,423,424]. In countries like Brazil, infection of R. rickettsii in humans has been associated with a shift from predominantly rural to a more urban transmission in Rio de Janeiro where ticks like D. nitens, R. microplus, and A. sculptum Berlese, 1888 are common on horses and cattle [398]. In this area, A. sculptum is also common on wild animals and it is considered a generalist biter and the most important vector of R. rickettsii. In Central America, an increase in the abundance of cattle, horses, and A. mixtum (and other generalist ticks) in areas where there is already local transmission of zoonotic pathogens may result in an increased risk of human exposure to these potential vectors and pathogen infection.
Rhipicephalus sanguineus s.l. is the most common tick on domestic dogs in Central America, although it is not indigenous to this region [241,249,404,408,425,426,427]. Despite its marked preference toward dogs, this tick also bites humans and can do so frequently in rural and urban areas in Central America [297,420]. Considering that these ticks are usually found in urban environments or areas that have been disturbed, deforestation and other land use changes leading to human settlements and increased dog populations could result in the establishment of this species where it was not present before human activity, as it has been observed in Panama [405]. In addition to being the main vector of E. canis in the region, R. sanguineus s.l. may be implicated in the transmission of A. phagocytophilum, given reports of infection in dogs in Costa Rica and Nicaragua and the detection of its DNA in this tick species in Costa Rica and Panama [239,249,255,257,404]. Moreover, R. sanguineus s.l. has been identified as responsible for urban outbreaks of severe human rickettsiosis by R. rickettsii in Mexico, and it may have been associated with a human case in Panama [277,428]. Considering the presence of these bacteria in Central America, an increase in dog populations in this region may facilitate contact with pathogen transmission cycles in wildlife and their ticks. In Rio de Janeiro, Brazil, recent investigations close to the Pedra Branca State Park have found R. rickettsii in R. sanguineus ticks as well as a higher exposure of dogs to Rickettsia spp. in recently urbanized areas, compared to rural and non-endemic areas [429]. This supports the hypothesis that interactions of dogs with wildlife and their ticks may eventually lead to the establishment of urban transmission cycles among dogs and R. sanguineus s.l. vectors and the possibility of a higher risk to humans mediated by contact with R. sanguineus s.l.
Amblyomma ovale is another tick species in Central America that can be found feeding on dogs in rural areas, urban periphery, and nearby human-disturbed forests areas or frequently accessed forest habitat (e.g., for hunting) [241,254,404,407,408,411,425,426,430,431]. Although it is not frequently found in highly urbanized areas, this species readily bites humans in rural landscapes of Central America and it is the main vector of R. parkeri (strain Atlantic rainforest) in other parts of Latin America, including Colombia, Brazil, and Argentina [297,404,420,422,431,432,433,434]. The presence of this strain of R. parkeri and R. africae in A. ovale has been recently reported in Belize and Nicaragua, respectively [254,412]. Moreover, several studies in the Americas, such as the U.S. and Brazil, have found that people who own or hunt with dogs that are in contact with wildlife and forest areas are more exposed to wildlife ticks, including vectors of zoonotic pathogens, that could also parasitize dogs [399,400]. Therefore, a consequence of increased human settlements in proximity to forest habitats and incursions into nearby forests, along with their domestic dogs for company, herding, hunting, and other activities, may increase human and dog exposure to A. ovale and other ticks and wildlife pathogens in disturbed and forest areas of Central America.
Land use changes leading to human settlements may also increase contact of humans with argasid ticks and the pathogens that they carry. Tick infestations in domestic environments and human bites by Ornithodoros spp. in Central America can occur due to bats, rodents, birds, or other small animals accessing the interior of buildings or seeking refuge close to buildings [248,293,297,435,436,437]. In Panama, O. talaje and O. rudis were implicated as vectors of an unidentified Borrelia sp. that causes tick-borne relapsing fever in the area, but other common species (e.g., O. puertoricensis [Fox, 1947]) may also be competent vectors of Borrelia spp. [248,437]. In other regions of the world where cases of tick-borne relapsing fever occur, infection usually takes place within houses or buildings infested with argasid ticks [248,438]. In Central America, the expansion of human settlements, especially informal and unplanned housing, could offer adequate refuge for argasid ticks and small animals, such as rodents and bats, placing humans in close proximity to these ticks and increasing the risk for pathogen transmission.
There are other potential tick-borne pathogens in Central America that have been directly or indirectly documented in wild animals or ticks, but not in humans. For example, DNA of A. phagocytophilum and B. burgdorferi s.l. was recently detected in I. tapirus Kohls, 1956 and in I. cf. boliviensis, respectively, in Panama [263]. Although there is evidence of possible exposure to B. burgdorferi s.l. in dogs and humans in Central America, the bacterium involved has not been clearly identified [257,265,270,439]. However, species such as I. c.f. boliviensis have the potential to transmit enzootic pathogens and may parasitize domestic animals, including dogs and even humans [255,297,407,425,426,440]. This generalist feeding behavior may allow them to act as bridge vectors in peridomestic environments, especially near disturbed forests and rural settings near forests. The transmission cycles of A. phagocytophilum and B. burgdorferi s.s. typically involve wild animals, such as white tail deer and rodents, and tick populations that may increase in abundance due to forest disturbances, conservation measures, and reforestation practices [391,393,396,441,442].

6. Conclusions

The recent epidemic emergence of several VBDs in Central America highlight the importance of elucidating the specific regional factors that drive their emergence, which could lead to the development of strategies to prevent their further spread and establishment. In the last several decades, climate change has received major attention and it is considered an important driver of VBD emergence and resurgence in Central America, especially for malaria and DENV [443,444,445,446]. However, less attention has focused on the influence of land use changes on VBD emergence and resurgence in this region. Understanding environmental drivers, such as urbanization and deforestation, is critical since these factors could far exceed the rate of climate change and have been directly linked to the spread of several VBDs in the neotropics [16,447,448,449,450]. Furthermore, the Central American region is currently experiencing one of the fastest levels of deforestation and urbanization in the world, which are considered amongst the most important drivers of VBD emergence [16]. The increased movement of people to and from forests also promotes and facilitates contact between insect vectors, reservoirs, and human hosts. These interactions may serve as bridges for pathogens to reach human populations beyond forest edges into urbanized regions [5]. The development of natural resources can lead to habitat simplification and reduction in biodiversity which may also affect the ecology of local disease vectors. Moreover, excessive use of pesticides could also lead to the accelerated development of insecticide resistance amongst disease vectors [1].
Another factor impacting VBD transmission dynamics is the increase in intensity and number of natural disasters due to climate change [5]. As tropical storms and hurricanes are becoming more common and severe, disease vectors have an increased potential to disperse to areas in which new breeding sites may be more suitable for their establishment [451,452]. As a result of global increases in urbanization and temperatures, areas suitable for breeding and proliferation of disease vectors may expand which, in turn, may increase the risk for pathogen transmission to humans and animals [5,453].
Knowledge gaps on the epidemiology and ecology of VBDs in Central America are not geographically uniform. As reported in this review, most studies on this subject have been conducted in Panama and Costa Rica, countries with the strongest economies and public health infrastructures in the region [30]. Over the past few decades, Central America has encountered considerable social and environmental challenges linked to climate change, including extended droughts combined with intermittent and extreme floods. Moreover, the region continues to experience political instability and violence due to the illegal drug trade, socioeconomic instability, food insecurity due to agricultural declines, substantial human displacements, unplanned urbanization, and the marginalization of Indigenous populations [454,455]. Moreover, marked differences between countries exist, including various levels of public health infrastructure development, disease surveillance capabilities, and availability of effective laboratory testing technology [6].
This review set out to explore the potential impact of accelerating rates of deforestation, urbanization, and other anthropogenic changes on VBD transmission dynamics in Central America, focusing on mosquito-borne and tick-borne diseases with high potential to emerge, expand, or resurge. Throughout the region, changes in current land use practices are influencing the unique ecological, social, and environmental determinants of health in ways that are interdependent, synergistic, and difficult to study. As a result, it is likely that a growing number of people in Central America are at increased risk for VBDs. However, the specific effects of environmental changes, such as deforestation and urbanization, on VBD transmission dynamics are not yet well understood and are challenging to predict, which highlights the critical need for increased surveillance and further study in the region. A more detailed understanding of the complex relationships between the unique VBD ecologies and rapidly changing environments in Central America is urgently needed to inform rational disease prevention and control activities across the region.

Author Contributions

Conceptualization, D.I.O., A.T., M.P.-O., L.M.R.-V. and J.W.; methodology, D.I.O., A.T., M.P.-O., L.M.R.-V. and J.W.; investigation, D.I.O., A.T., M.P.-O., L.M.R.-V. and J.W.; resources, D.I.O., M.P.-O., L.M.R.-V., J.W. and A.T.; writing—original draft preparation, D.I.O., M.P.-O., L.M.R.-V., J.W. and A.T.; writing—review and editing, D.I.O. and A.T.; visualization, D.I.O. and A.T.; supervision, D.I.O. and A.T.; funding acquisition, D.I.O. and A.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

This review article does not report original data results; hence, the statement is excluded.

Acknowledgments

The authors thank Sergio Bermúdez for specific comments about the available literature and environment effects on tick-borne diseases in Central America, and Olger Calderón-Arguedas and Eugenia Corrales-Aguilar for their initial ideas and comments for this review. M.P.-O., L.M.R.-V. and A.T. were involved in this review as part of University of Costa Rica’s EcoVector research network (B9779 “Red de investigación en ecología de mosquitos vectores”) and ARBORed research network (B6778 “Red de investigación en Arbovirus”).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Bos, R. New Approaches to Disease Vector Control in the Context of Sustainable Development. Cad. Saúde Públ. 1992, 8, 240–248. [Google Scholar] [CrossRef] [Green Version]
  2. Gubler, D.J. The Global Threat of Emergent/Re-Emergent Vector-Borne Diseases. Vector Biol. Ecol. Control 2010, 39–62. [Google Scholar] [CrossRef]
  3. Burkett-Cadena, N.; Vittor, A.Y. Deforestation and Vector-Borne Disease: Forest Conversion Favors Important Mosquito Vectors of Human Pathogens. Basic Appl. Ecol. 2018, 26, 101–110. [Google Scholar] [CrossRef] [PubMed]
  4. WHO (World Health Organization). Vector-Borne Diseases Factsheet. Available online: https://www.who.int/news-room/fact-sheets/detail/vector-borne-diseases (accessed on 5 October 2021).
  5. Wilke, A.B.B.; Beier, J.C.; Benelli, G. Complexity of the Relationship between Global Warming and Urbanization—An Obscure Future for Predicting Increases in Vector-Borne Infectious Diseases. Curr. Opin. Insect Sci. 2019, 35, 1–9. [Google Scholar] [CrossRef] [PubMed]
  6. Hotez, P.J.; Damania, A.; Bottazzi, M.E. Central Latin America: Two Decades of Challenges in Neglected Tropical Disease Control. PLoS Negl. Trop. Dis. 2020, 14, e0007962. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Oliveira, W.K. Increase in Reported Prevalence of Microcephaly in Infants Born to Women Living in Areas with Confirmed Zika Virus Transmission During the First Trimester of Pregnancy—Brazil, 2015. MMWR Morb. Mortal. Wkl. Rep. 2019, 65. [Google Scholar] [CrossRef]
  8. Lorenz, C.; Azevedo, T.S.; Virginio, F.; Aguiar, B.S.; Chiaravalloti-Neto, F.; Suesdek, L. Impact of Environmental Factors on Neglected Emerging Arboviral Diseases. PLoS Negl. Trop. Dis. 2017, 11, e0005959. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  9. Rosenberg, R. Vital Signs: Trends in Reported Vectorborne Disease Cases—United States and Territories, 2004–2016. MMWR Morb. Mortal. Wkl. Rep. 2019, 67, 496–501. [Google Scholar] [CrossRef] [Green Version]
  10. Morse, S.S. Factors in the Emergence of Infectious Diseases. Emerg. Infect. Dis. 1995, 1, 7–15. [Google Scholar] [CrossRef]
  11. Institute of Medicine. Microbial Threats to Health: Emergence, Detection, and Response. In Microbial Threats to Health; National Academies Press (US): Washington, DC, USA, 2003. [Google Scholar] [CrossRef]
  12. Jones, K.E.; Patel, N.G.; Levy, M.A.; Storeygard, A.; Balk, D.; Gittleman, J.L.; Daszak, P. Global Trends in Emerging Infectious Diseases. Nature 2008, 451, 990–993. [Google Scholar] [CrossRef]
  13. Hassell, J.M.; Begon, M.; Ward, M.J.; Fèvre, E.M. Urbanization and Disease Emergence: Dynamics at the Wildlife–Livestock–Human Interface. Trends Ecol. Evol. 2017, 32, 55–67. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Petersen, E.; Petrosillo, N.; Koopmans, M.; Beeching, N.; di Caro, A.; Gkrania-Klotsas, E.; Kantele, A.; Kohlmann, R.; Koopmans, M.; Lim, P.-L.; et al. Emerging Infections—An Increasingly Important Topic: Review by the Emerging Infections Task Force. Clin. Microbiol. Infect. 2018, 24, 369–375. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Gratz, N.G. Emerging and Resurging Vector-Borne Diseases. Annu. Rev. Entomol 1999, 44, 51–75. [Google Scholar] [CrossRef]
  16. Swei, A.; Couper, L.I.; Coffey, L.L.; Kapan, D.; Bennett, S. Patterns, Drivers, and Challenges of Vector-Borne Disease Emergence. Vector Borne Zoonotic Dis. 2020, 20, 159–170. [Google Scholar] [CrossRef] [PubMed]
  17. Juliano, S.A.; Philip Lounibos, L. Ecology of Invasive Mosquitoes: Effects on Resident Species and on Human Health. Ecol. Lett. 2005, 8, 558–574. [Google Scholar] [CrossRef] [Green Version]
  18. Medlock, J.M.; Hansford, K.M.; Schaffner, F.; Versteirt, V.; Hendrickx, G.; Zeller, H.; van Bortel, W. A Review of the Invasive Mosquitoes in Europe: Ecology, Public Health Risks, and Control Options. Vector Borne Zoonotic Dis. 2012, 12, 435–447. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  19. Özer, N. Emerging Vector-Borne Diseases in a Changing Environment. Turk. J. Biol. 2005, 29, 125–135. [Google Scholar]
  20. Dantas-Torres, F. Climate Change, Biodiversity, Ticks and Tick-Borne Diseases: The Butterfly Effect. Int. J. Parasitol. Parasites Wildl. 2015, 4, 452–461. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  21. Sheela, A.M.; Ghermandi, A.; Vineetha, P.; Sheeja, R.V.; Justus, J.; Ajayakrishna, K. Assessment of Relation of Land Use Characteristics with Vector-Borne Diseases in Tropical Areas. Land Use Policy 2017, 63, 369–380. [Google Scholar] [CrossRef]
  22. Devine, J.A.; Wrathall, D.; Aguilar-González, B.; Benessaiah, K.; Tellman, B.; Ghaffari, Z.; Ponstingel, D. Narco-Degradation: Cocaine Trafficking’s Environmental Impacts in Central America’s Protected Areas. World Dev. 2021, 144, 105474. [Google Scholar] [CrossRef]
  23. Gottdenker, N.L.; Streicker, D.G.; Faust, C.L.; Carroll, C.R. Anthropogenic Land Use Change and Infectious Diseases: A Review of the Evidence. EcoHealth 2014, 11, 619–632. [Google Scholar] [CrossRef] [PubMed]
  24. Berglee, R. World Regional Geography: People, Places, and Globalization v2.0; FlatWorld: Boston, MA, USA, 2017. [Google Scholar]
  25. Myers, N.; Tucker, R. Deforestation in Central America: Spanish Legacy and North American Consumers. Environ. Hist. Rev. 1987, 11, 55–71. [Google Scholar] [CrossRef]
  26. De Clerck, F.A.J.; Chazdon, R.; Holl, K.D.; Milder, J.C.; Finegan, B.; Martinez-Salinas, A.; Imbach, P.; Canet, L.; Ramos, Z. Biodiversity Conservation in Human-Modified Landscapes of Mesoamerica: Past, Present and Future. Biol. Conserv. 2010, 143, 2301–2313. [Google Scholar] [CrossRef]
  27. Kim, D.-H.; Sexton, J.O.; Townshend, J.R. Accelerated Deforestation in the Humid Tropics from the 1990s to the 2000s. Geophys. Res. Lett. 2015, 42, 3495–3501. [Google Scholar] [CrossRef] [PubMed]
  28. Douglass Biodiversity and Deforestation in Central America. Available online: https://storymaps.arcgis.com/stories/b21e1154ae354c9d8629626a5f80ee88 (accessed on 20 September 2021).
  29. Tellman, B.; Sesnie, S.E.; Magliocca, N.R.; Nielsen, E.A.; Devine, J.A.; McSweeney, K.; Jain, M.; Wrathall, D.J.; Dávila, A.; Benessaiah, K.; et al. Illicit Drivers of Land Use Change: Narcotrafficking and Forest Loss in Central America. Glob. Environ. Chang. 2020, 63, 102092. [Google Scholar] [CrossRef]
  30. Maria, A.; Acero, J.L.; Aguilera, A.I.; Garcia Lozano, M. Central America Urbanization Review: Making Cities Work for Central America; World Bank: Washington, DC, USA, 2017; ISBN 978-1-4648-0985-9. [Google Scholar]
  31. Belli, A.; Zeledon, R.; de Carreira, P.; Ponce, C.; Arana, B. Epidemiological Aspects of the Leishmaniasis in Central America. Arch. Inst. Pasteur Tunis 1993, 70, 489. [Google Scholar] [PubMed]
  32. Romero, G.A.S.; Boelaert, M. Control of Visceral Leishmaniasis in Latin America—A Systematic Review. PLoS Negl. Trop. Dis. 2010, 4, e584. [Google Scholar] [CrossRef] [PubMed]
  33. Ponce, C. Current Situation of Chagas Disease in Central America. Mem. Inst. Oswaldo Cruz 2007, 102, 41–44. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Zeledón, R.; Ponce, C.; Méndez-Galván, J.F. Group Discussion: Epidemiological, Social, and Control Determinants of Chagas Disease in Central America and Mexico. Mem. Inst. Oswaldo Cruz 2007, 102, 45–46. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Vieira, J.L.; Távora, F.R.F.; Sobral, M.G.V.; Vasconcelos, G.G.; Almeida, G.P.L.; Fernandes, J.R.; da Escóssia Marinho, L.L.; de Mendonça Trompieri, D.F.; de Souza Neto, J.D.; Mejia, J.A.C. Chagas Cardiomyopathy in Latin America Review. Curr. Cardiol. Rep. 2019, 21, 1–8. [Google Scholar] [CrossRef]
  36. Independent Evaluation Group (The World Bang Group). The Mesoamerican Biological Corridor; Regional Program Review; The World Bank Group: Washington, DC, USA, 2011; Volume 5, 80p, Available online: https://ieg.worldbankgroup.org/sites/default/files/Data/reports/mbc_rpr.pdf (accessed on 15 November 2021).
  37. Grandia, L. Between Bolivar and Bureaucracy: The Mesoamerican Biological Corridor. Conserv. Soc. 2007, 5, 478–503. [Google Scholar]
  38. WCS (Wildlife Conservation Society). People and Wildlife Now Threatened by Rapid Destruction of Central America’s Forests. Available online: https://newsroom.wcs.org/News-Releases/articleType/ArticleView/articleId/10332/People-and-Wildlife-Now-Threatened-by-Rapid-Destruction-of-Central-Americas-Forests.aspx (accessed on 5 October 2021).
  39. Utting, P. Deforestation in Central America: Historical and Contemporary Dynamics. Sustain. Agric. Cent. Am. 1997, 9–29. [Google Scholar] [CrossRef]
  40. Carr, D.; Barbieri, A.; Pan, W.; Iranavi, H. Agricultural Change and Limits to Deforestation in Central America. In Agriculture and Climate beyond 2015: A New Perspective on Future Land Use Patterns; Brouwer, F., McCarl, B.A., Eds.; Springer: Dordrecht, The Netherlands, 2006; Volume 46, pp. 91–107. [Google Scholar]
  41. Geist, H.J.; Lambin, E.F. Proximate Causes and Underlying Driving Forces of Tropical Deforestation: Tropical Forests Are Disappearing as the Result of Many Pressures, Both Local and Regional, Acting in Various Combinations in Different Geographical Locations. BioScience 2002, 52, 143–150. [Google Scholar] [CrossRef]
  42. Rudel, T.K.; Defries, R.; Asner, G.P.; Laurance, W.F. Changing Drivers of Deforestation and New Opportunities for Conservation. Conserv. Biol. 2009, 23, 1396–1405. [Google Scholar] [CrossRef]
  43. Clark, M.L.; Aide, T.M.; Riner, G. Land Change for All Municipalities in Latin America and the Caribbean Assessed from 250-m MODIS Imagery (2001–2010). Remote Sens. Environ. 2012, 126, 84–103. [Google Scholar] [CrossRef]
  44. Redo, D.J.; Grau, H.R.; Aide, T.M.; Clark, M.L. Asymmetric Forest Transition Driven by the Interaction of Socioeconomic Development and Environmental Heterogeneity in Central America. Proc. Natl. Acad. Sci. USA 2012, 109, 8839–8844. [Google Scholar] [CrossRef] [Green Version]
  45. Sesnie, S.E.; Tellman, B.; Wrathall, D.; McSweeney, K.; Nielsen, E.; Benessaiah, K.; Wang, O.; Rey, L. A Spatio-Temporal Analysis of Forest Loss Related to Cocaine Trafficking in Central America. Environ. Res. Lett. 2017, 12, 054015. [Google Scholar] [CrossRef] [Green Version]
  46. TWB (The World Bank); FAO (Food and Agriculture Organization). Forest Area (% of Land Area). 2021. Available online: https://data.worldbank.org/indicator/AG.LND.FRST.ZS?most_recent_value_desc=true (accessed on 5 October 2021).
  47. Blackman, A. Strict versus Mixed-Use Protected Areas: Guatemala’s Maya Biosphere Reserve. Ecol. Econ. 2015, 112, 14–24. [Google Scholar] [CrossRef]
  48. King, M.W.; Pastora, M.A.G.; Salazar, M.C.; Rodriguez, C.M. Environmental Governance and Peacebuilding in Post-Conflict Central America: Lessons from the Central American Commission for Environment and Development. Gov. Nat. Resour. Post-Confl. Peacebuild. 2016, 777–802. [Google Scholar] [CrossRef]
  49. FAO (Food and Agriculture Organization). Forest governance by indigenous and tribal peoples. In An Opportunity for Climate Action in Latin America and the Caribbean; FAO Regional Office for Latin America and Caribbean: Santiago, Chile, 2021; p. 170. [Google Scholar] [CrossRef]
  50. McSweeney, K.; Nielsen, E.A.; Taylor, M.J.; Wrathall, D.J.; Pearson, Z.; Wang, O.; Plumb, S.T. Drug Policy as Conservation Policy: Narco-Deforestation. Science 2014, 343, 489–490. [Google Scholar] [CrossRef]
  51. Dudley, S.S. Drug Trafficking Organizations in Central America: Transportistas, Mexican Cartels and Maras. In Organized Crime in Central America. The Northern Triangle; Arnson, C.J., Olson, E.L., Eds.; Woodrow Wilson International Center for Scholars: Washington, DC, USA, 2011; pp. 18–61. [Google Scholar]
  52. UNODC (United Nations Office of Drugs and Crime). Transnational Organized Crime in Central America and the Caribbean: A Threat Assessment; United Nations Office on Drug and Crime., UN: Vienna, Austria, 2012; 82p. [Google Scholar] [CrossRef]
  53. Richards, M.; Wells, A.; del Gatto, F.; Contreras Hermosilla, A.; Pommier, D. Impacts of Illegality and Barriers to Legality: A Diagnostic Analysis of Illegal Logging in Honduras and Nicaragua. Int. For. Rev. 2003, 5, 282–292. [Google Scholar] [CrossRef]
  54. PRISMA (Programa Regional de Investigación sobre Desarrollo y Medio Ambiente). Informe PRISMA: Pueblos Indígenas y Comunidades Rurales Defendiendo Derechos Territoriales. In Estudios de Caso Sobre Experiencias de Prevención y Defensa Ante Narcotráfico y El Crimen Organizado En Mesoamérica; Fundacion PRISMA: San Salvador, El Salvador, 2014. [Google Scholar]
  55. Hodgdon, B.D.; Hughell, D.; Ramos, V.H.; McNab, R.B. Deforestation Trends in the Maya Biosphere Reserve, Guatemala Rainforest (2000–2013). Report of the Rainforest Alliance, Consejo Nacional de Áreas Protegidas (CONAP), and the Wildlife Conservation Society. 2015. Available online: https://www.rainforest-alliance.org/wp-content/uploads/2021/07/MBR-Deforestation-Trends.pdf (accessed on 15 November 2021).
  56. McSweeney, K.; Pearson, Z. Prying Native People from Native Lands: Narco Business in Honduras. NACLA Rep. Am. 2013, 46, 7–12. [Google Scholar] [CrossRef]
  57. McSweeney, K.; Wrathall, D.J.; Nielsen, E.A.; Pearson, Z. Grounding Traffic: The Cocaine Commodity Chain and Land Grabbing in Eastern Honduras. Geoforum 2018, 95, 122–132. [Google Scholar] [CrossRef]
  58. Wrathall, D.J.; Devine, J.; Aguilar-González, B.; Benessaiah, K.; Tellman, E.; Sesnie, S.; Nielsen, E.; Magliocca, N.; McSweeney, K.; Pearson, Z.; et al. The Impacts of Cocaine-Trafficking on Conservation Governance in Central America. Glob. Environ. Chang. 2020, 63, 102098. [Google Scholar] [CrossRef]
  59. Grandia, L. Road Mapping: Megaprojects and Land Grabs in the Northern Guatemalan Lowlands. Dev. Chang. 2013, 44, 233–259. [Google Scholar] [CrossRef]
  60. Stocks, A.; McMahan, B.; Taber, P. Indigenous, Colonist, and Government Impacts on Nicaragua’s Bosawas Reserve. Conserv. Biol. 2007, 21, 1495–1505. [Google Scholar] [CrossRef]
  61. Radachowsky, J.; Ramos, V.H.; McNab, R.; Baur, E.H.; Kazakov, N. Forest Concessions in the Maya Biosphere Reserve, Guatemala: A Decade Later. For. Ecol. Manag. 2012, 268, 18–28. [Google Scholar] [CrossRef]
  62. Devine, J.A.; Wrathall, D.; Currit, N.; Tellman, B.; Langarica, Y.R. Narco-Cattle Ranching in Political Forests. Antipode 2020, 52, 1018–1038. [Google Scholar] [CrossRef]
  63. Devine, J.A.; Currit, N.; Reygadas, Y.; Liller, L.I.; Allen, G. Drug Trafficking, Cattle Ranching and Land Use and Land Cover Change in Guatemala’s Maya Biosphere Reserve. Land Use Policy 2020, 95, 104578. [Google Scholar] [CrossRef]
  64. WBG (World Bank Group). World Development Indicators 2015; International Bank for Reconstruction and Development/The World Bank: Washington, DC, USA, 2015. [Google Scholar]
  65. UNWFP (United Nations World Food Programme); IOM (International Organization for Migration). Hunger Without Borders, The Hidden Links between Food Insecurity, Violence and Migration in the Northern Triangle of Central America; UNWFP: Geneva, Switzerland, 2016; Available online: https://environmentalmigration.iom.int/hunger-without-borders-hidden-links-between-food-insecurity-violence-and-migration-northern-triangle (accessed on 15 November 2021).
  66. da Gama Torres, H. Environmental Implications of Peri-Urban Sprawl and the Urbanization of Secondary Cities in Latin America; Technical Report; Inter-American Development Bank: Washington, DC, USA, March 2011; Available online: https://publications.iadb.org/en/environmental-implications-peri-urban-sprawl-and-urbanization-secondary-cities-latin-america (accessed on 15 November 2021).
  67. Manuel-Navarrete, D.; Gómez, J.J.; Gallopín, G. Syndromes of Sustainability of Development for Assessing the Vulnerability of Coupled Human–Environmental Systems. The Case of Hydrometeorological Disasters in Central America and the Caribbean. Glob. Environ. Chang. 2007, 17, 207–217. [Google Scholar] [CrossRef]
  68. Spencer, N.; Urquhart, M.-A. Hurricane Strikes and Migration: Evidence from Storms in Central America and the Caribbean. Weather Clim. Soc. 2018, 10, 569–577. [Google Scholar] [CrossRef]
  69. Gencer, E. An Overview of Urban Vulnerability to Natural Disasters and Climate Change in Central America & the Caribbean Region. SSRN Electron. J. 2013. [Google Scholar] [CrossRef] [Green Version]
  70. Beaubien, J. Back-to-Back Hurricanes Created an Unprecedented Disaster in Honduras: Goats and Soda: NPR. Available online: https://www.npr.org/sections/goatsandsoda/2020/12/14/945377248/even-disaster-veterans-are-stunned-by-whats-happening-in-honduras (accessed on 16 September 2021).
  71. Imbach, P.; Locatelli, B.; Zamora, J.C.; Fung, E.; Calderer, L.; Molina, L.; Ciais, P. Impacts of Climate Change on Ecosystem Hydrological Services of Central America: Water Availability—CIFOR Knowledge. In Climate Change Impacts on Tropical Forests in Central America: An Ecosystem Service Perspective; Chiabai, A., Ed.; Routledge: New York, NY, USA, 2015; pp. 65–90. [Google Scholar]
  72. OECD. Health at a Glance: Latin America and the Caribbean 2020. Health at a Glance: Latin America and the Caribbean 2020; OECD Publishing: Paris, France, 2020. [Google Scholar] [CrossRef]
  73. Kramer, L.D.; Ciota, A.T.; Kilpatrick, A.M. Introduction, Spread, and Establishment of West Nile Virus in the Americas. J. Med. Entomol. 2019, 56, 1448–1455. [Google Scholar] [CrossRef] [PubMed]
  74. Cruz, L.; Cardenas, V.M.; Abarca, M.; Rodriguez, T.; Reyna, R.F.; Serpas, M.V.; Fontaine, R.E.; Beasley, D.W.C.; da Rosa, A.P.A.T.; WEAVER, S.C.; et al. Serological Evidence of West Nile Virus Activity in El Salvador. Am. J. Trop. Med. Hyg. 2005, 72, 612–615. [Google Scholar] [CrossRef] [PubMed]
  75. OIE (Organization for Animal Health). Update on West Nile Virus (WNV) in Belize—Vol. 2, No. 11 (18 March 2004)—PAHO/WHO|Pan American Health Organization. Emerg. Infect. Dis. Wkl. Updat. 2004, 2. Available online: https://www.paho.org/en/documents/update-west-nile-virus-wnv-belize-vol-2-no-11-18-march-2004 (accessed on 15 November 2021).
  76. Gubler, D.J. The Continuing Spread of West Nile Virus in the Western Hemisphere. Clin. Infect. Dis. Off. Pub. Infect. Dis. Soc. Am. 2007, 45, 1039–1046. [Google Scholar] [CrossRef]
  77. Komar, N.; Clark, G.G. West Nile Virus Activity in Latin America and the Caribbean. Rev. Panam. Salud Publica 2006, 19, 112–117. [Google Scholar] [CrossRef] [Green Version]
  78. Monge Maillo, B.; López-Vélez, R.; Norman, F.; de Ory, F.; Sanchez-Seco, M.P.; Giovanni Fedele, C. Importation of West Nile Virus Infection from Nicaragua to Spain. Emerg. Infect. Dis. 2008, 14, 1171–1173. [Google Scholar] [CrossRef]
  79. Morales-Betoulle, M.E.; Komar, N.; Panella, N.A.; Álvarez, D.; López, M.R.; Betoulle, J.; Sosa, S.M.; Muller, M.L.; Kilpatrick, A.M.; Lanciotti, R.S.; et al. West Nile Virus Ecology in a Tropical Ecosystem in Guatemala. Am. J. Trop. Med. Hyg. 2013, 88, 116–126. [Google Scholar] [CrossRef] [Green Version]
  80. Morales-Betoulle, M.E.; Morales, H.; Blitvich, B.J.; Powers, A.M.; Davis, E.A.; Klein, R.; Cordón-Rosales, C. West Nile Virus in Horses, Guatemala. Emerg. Infect. Dis. 2006, 12, 1038–1039. [Google Scholar] [CrossRef]
  81. Kading, R.C.; Reiche, A.S.; Morales-Betoulle, M.E.; Komar, N. Host Selection of Potential West Nile Virus Vectors in Puerto Barrios, Guatemala, 2007. Am. J. Trop. Med. Hyg. 2013, 88, 108–115. [Google Scholar] [CrossRef] [Green Version]
  82. Carrera, J.-P.; Bagamian, K.H.; da Rosa, A.P.T.; Wang, E.; Beltran, D.; Gundaker, N.D.; Armien, B.; Arroyo, G.; Sosa, N.; Pascale, J.M.; et al. Human and Equine Infection with Alphaviruses and Flaviviruses in Panamá during 2010: A Cross-Sectional Study of Household Contacts during an Encephalitis Outbreak. Am. J. Trop. Med. Hyg. 2018, 98, 1798–1804. [Google Scholar] [CrossRef] [Green Version]
  83. Hobson-Peters, J.; Arévalo, C.; Cheah, W.Y.; Blitvich, B.J.; Tan, C.S.; Sandis, A.; Araya, L.N.; Hernández, J.L.; Toye, P.; Hall, R.A. Detection of Antibodies to West Nile Virus in Horses, Costa Rica, 2004. Vector Borne Zoonotic Dis. 2011, 11, 1081–1084. [Google Scholar] [CrossRef] [PubMed]
  84. Jiménez, C.; Romero, M.; Piche, M.; Baldi, M.; Alfaro, A.; Chaves, A.; Morales, J.; León, B.; Hutter, S.; Corrales-Aguilar, E. Arboviral Encephalitis in Costa Rican Horses: 2009–2016. Int. J. Infect. Dis. 2016, 53, 153. [Google Scholar] [CrossRef] [Green Version]
  85. Chaves, A.; Piche-Ovares, M.; Ibarra-Cerdeña, C.N.; Corrales-Aguilar, E.; Suzán, G.; Moreira-Soto, A.; Gutiérrez-Espeleta, G.A. Serosurvey of Nonhuman Primates in Costa Rica at the Human–Wildlife Interface Reveals High Exposure to Flaviviruses. Insects 2021, 12, 554. [Google Scholar] [CrossRef]
  86. Medlin, S.; Deardorff, E.R.; Hanley, C.S.; Vergneau-Grosset, C.; Siudak-Campfield, A.; Dallwig, R.; da Rosa, A.T.; Tesh, R.B.; Martin, M.P.; Weaver, S.C.; et al. Serosurvey of Selected Arboviral Pathogens in Free-Ranging, Two-Toed Sloths (Choloepus hoffmanni) and Three-Toed Sloths (Bradypus variegatus) in Costa Rica, 2005–2007. J. Wildl. Dis. 2016, 52, 883–892. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  87. Dolz, G.; Chaves, A.; Gutiérrez-Espeleta, G.A.; Ortiz-Malavasi, E.; Bernal-Valle, S.; Herrero, M.V. Detection of Antibodies against Flavivirus over Time in Wild Non-Human Primates from the Lowlands of Costa Rica. PLoS ONE 2019, 14, e0219271. [Google Scholar] [CrossRef]
  88. Piche-Ovares, M.; Romero-Vega, M.; Vargas-Gonzalez, D.; Barrantes-Murillo, D.; Soto-Garita, C.; Francisco-Llamas, J.; Alfaro-Alarcon, A.; Jimenez, C.; Corrales-Aguilar, E. Serosurvey in Two Rural Areas Evidences Recent and Previously Undetected WNV and SLEV circulation in Costa Rica. medRxiv 2021. [Google Scholar] [CrossRef]
  89. Mores, C.N.; Turell, M.J.; Dohm, D.J.; Blow, J.A.; Carranza, M.T.; Quintana, M. Experimental Transmission of West Nile Virus by Culex nigripalpus from Honduras. Vector Borne Zoonotic Dis. 2007, 7, 279–284. [Google Scholar] [CrossRef]
  90. Kent, R.J.; Crabtree, M.B.; Miller, B.R. Transmission of West Nile Virus by Culex quinquefasciatus Say Infected with Culex Flavivirus Izabal. PLoS Negl. Trop. Dis. 2010, 4, e671. [Google Scholar] [CrossRef]
  91. Barzon, L.; Pacenti, M.; Ulbert, S.; Palù, G. Latest Developments and Challenges in the Diagnosis of Human West Nile Virus Infection. Expert Rev. Anti-Infect. Ther. 2015, 13, 327–342. [Google Scholar] [CrossRef]
  92. Lustig, Y.; Sofer, D.; Bucris, E.D.; Mendelson, E. Surveillance and Diagnosis of West Nile Virus in the Face of Flavivirus Cross-Reactivity. Front. Microbiol. 2018, 9, 1–10. [Google Scholar] [CrossRef]
  93. Moreira, J.; Barros, J.; Lapouble, O.; Lacerda, M.V.G.; Felger, I.; Brasil, P.; Dittrich, S.; Siqueira, A.M. When Fever Is Not Malaria in Latin America: A Systematic Review. BMC Med. 2020, 18, 1294. [Google Scholar] [CrossRef]
  94. Rappole, J.H.; Derrickson, S.R.; Hubálek, Z. Migratory Birds and Spread of West Nile Virus in the Western Hemisphere. Emerg. Infect. Dis. 2000, 6, 319–328. [Google Scholar] [CrossRef] [PubMed]
  95. Maharaj, P.D.; Bosco-Lauth, A.M.; Langevin, S.A.; Anishchenko, M.; Bowen, R.A.; Reisen, W.K.; Brault, A.C. West Nile and St. Louis Encephalitis Viral Genetic Determinants of Avian Host Competence. PLoS Negl. Trop. Dis. 2018, 12, e0006302. [Google Scholar] [CrossRef]
  96. Tesh, R.B.; Travassos da Rosa, A.P.; Guzman, H.; Araujo, T.P.; Xiao, S.Y. Immunization with Heterologous Flaviviruses Protective against Fatal West Nile Encephalitis. Emerg. Infect. Dis. 2002, 8, 245–251. [Google Scholar] [CrossRef] [Green Version]
  97. Diaz, L.A.; Goñi, S.E.; Iserte, J.A.; Quaglia, A.I.; Singh, A.; Logue, C.H.; Powers, A.M.; Contigiani, M.S. Exploring Genomic, Geographic and Virulence Interactions among Epidemic and Non-Epidemic St. Louis Encephalitis Virus (Flavivirus) Strains. PLoS ONE 2015, 10, e0136316. [Google Scholar] [CrossRef] [Green Version]
  98. Galindo, P.; Peralta, P.H.; Mackenzie, R.B.; Beye, H. Saint Louis Encephalitis in Panama: A Review and Progress Report. Am. J. Trop. Med. Hyg. 1964, 13, 455. [Google Scholar] [CrossRef]
  99. de Rodaniche, E.; Galindo, P. St. Louis Encephalitis in Panama. III. Investigation of Local Mammals and Birds as Possible Reservoir Hosts. Am. J. Trop. Med. Hyg. 1961, 10, 390–392. [Google Scholar] [CrossRef] [PubMed]
  100. Galindo, P.; Adames, A.; Peralta, P.; Johnson, C.; Read, R. Impacto de La Hidroeléctrica de Bayano En La Transmisión de Arbovirus. Rev. Méd. Panamá 1983, 8, 89–134. [Google Scholar] [CrossRef] [PubMed]
  101. Dutary, B.E.; Peralta, P.H.; Petersen, J.L. Estudios Biológicos Del Virus de La Encefalitis de San Luis En Mage, Bayano. Rev. Méd. Panamá 1984, 200–211. [Google Scholar]
  102. Cupp, E.W.; Scherer, W.F.; Lok, J.B.; Brenner, R.J.; Dziem, G.M.; Ordonez, J.V. Entomological Studies at an Enzootic Venezuelan Equine Encephalitis Virus Focus in Guatemala, 1977–1980. Am. J. Trop. Med. Hyg. 1986, 35, 851–859. [Google Scholar] [CrossRef]
  103. Weaver, S.C.; Ferro, C.; Barrera, R.; Boshell, J.; Navarro, J.C. Venezuelan equine encephalitis. Ann. Rev. Entomol. 2004, 49, 141–174. [Google Scholar] [CrossRef]
  104. Guzmán-Terán, C.; Calderón-Rangel, A.; Rodriguez-Morales, A.; Mattar, S. Venezuelan Equine Encephalitis Virus: The Problem Is Not Over for Tropical America. Ann. Clin. Microbiol. Antimicrob. 2020, 19, 19. [Google Scholar] [CrossRef]
  105. Oberste, M.S.; Schmura, S.M.; Weaver, S.C.; Smith, J.F. Geographic Distribution of Venezuelan Equine Encephalitis Virus Subtype IE Genotypes in Central America and Mexico. Am. J. Trop. Med. Hyg. 1999, 60, 630–634. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  106. Franck, P.T.; Johnson, K.M. An Outbreak of Venezuelan Equine Encephalomyelitis in Central America. Evidence for Exogenous Source of a Virulent Virus Subtype. Am. J. Epidemiol. 1971, 94, 487–495. [Google Scholar] [CrossRef]
  107. de la Hoz Restrepo, F. Encefalitis Equina Venezolana. Rev. MVZ Córdoba 2000, 5, 18–22. [Google Scholar] [CrossRef]
  108. Sudia, W.D.; Lord, R.D.; Newhouse, V.F.; Miller, D.L.; Kissling, R.E. Vector-Host Studies of an Epizootic of Venezuelan Equine Encephalomyelitis in Guatemala, 1969. Am. J. Epidemiol. 1971, 93, 137–143. [Google Scholar] [CrossRef] [PubMed]
  109. Martin, D.; Eddy, G.A.; Sudia, W.D.; Reeves, W.C.; Newhouse, V.F.; Johnson, K. An Epidemiologic Study of Venezuelan Equine Encephalomyelitis in Costa Rica, 1970. Am. J. Epidemiol. 1972, 95, 565–578. [Google Scholar] [CrossRef]
  110. Lord, R.D. Encefalitis Equina Venezolana Su Historia y Distribución Geográfica. Bol. Oficina Sanit. Panam. 1973, 1973, 530–541. [Google Scholar]
  111. Weaver, S.C.; Kinney, R.M.; Kang, W.; Pfeffer, M.; Marriott, K. Genetic Evidence for the Origins of Venezuelan Equine Encephalitis Virus Subtype IAB Outbreaks. Am. J. Trop. Med. Hyg. 1999, 60, 630–634. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  112. Aguilar, P.V.; Estrada-Franco, J.G.; Navarro-Lopez, R.; Ferro, C.; Haddow, A.D.; Weaver, S.C. Endemic Venezuelan Equine Encephalitis in the Americas: Hidden under the Dengue Umbrella. Future Virol. 2011, 6, 721–740. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  113. Quiroz, E.; Aguilar, P.V.; Cisneros, J.; Tesh, R.B.; Weaver, S.C. Venezuelan Equine Encephalitis in Panama: Fatal Endemic Disease and Genetic Diversity of Etiologic Viral Strains. PLoS Negl. Trop. Dis. 2009, 3, e472. [Google Scholar] [CrossRef]
  114. Vittor, A.Y.; Armien, B.; Gonzalez, P.; Carrera, J.P.; Dominguez, C.; Valderrama, A.; Glass, G.E.; Beltran, D.; Cisneros, J.; Wang, E.; et al. Epidemiology of Emergent Madariaga Encephalitis in a Region with Endemic Venezuelan Equine Encephalitis: Initial Host Studies and Human Cross-Sectional Study in Darien, Panama. PLoS Negl. Trop. Dis. 2016, 10, e0004554. [Google Scholar] [CrossRef] [PubMed]
  115. Turell, M.J.; Beaman, J.R. Experimental Transmission of Venezuelan Equine Encephalomyelitis Virus by a Strain of Aedes albopictus (Diptera: Culicidae) from New Orleans, Louisiana. J. Med. Entomol. 1992, 29, 802–805. [Google Scholar] [CrossRef] [Green Version]
  116. Ortiz, D.I.; Kang, W.; Weaver, S.C. Susceptibility of Ae. aegypti (Diptera: Culicidae) to Infection with Epidemic (Subtype IC) and Enzootic (Subtypes ID, IIIC, IIID) Venezuelan Equine Encephalitis Complex Alphaviruses. J. Med. Entomol. 2008, 45, 1117–1125. [Google Scholar] [CrossRef]
  117. Johnson, K.M.; Shelokov, A.; Peralta, P.H.; Dammin, G.J.; Young, N.A. Recovery of Venezuelan Equine Encephalomyelitis Virus in Panamá: A Fatal Case in Man. Am. J. Trop. Med. Hyg. 1968, 17, 432–440. [Google Scholar] [CrossRef]
  118. Galindo, P.; Srihongse, S.; de Rodaniche, E.; Grayson, M.A. An Ecological Survey for Arboviruses in Almirante, Panama, 1959–1962. Am. J. Trop. Med. Hyg. 1966, 15, 385–400. [Google Scholar] [CrossRef] [PubMed]
  119. Grayson, M.A.; Galindo, P. Epidemiologic Studies of Venezuelan Equine Encephalitis Virus in Almirante, Panama. Am. J. Epidemiol. 1968, 88, 80–86. [Google Scholar] [CrossRef]
  120. Grayson, M.A.; Galindo, P. Ecology of Venezuelan Equine Encephalitis Virus in Panama. J. Am. Vet. Med. Assoc. 1969, 155, 2141–2145. [Google Scholar] [PubMed]
  121. Seymour, C.; Dickerman, R.W.; Martin, M.S. Venezuelan Encephalitis Virus Infection in Neotropical Bats: I. Natural Infection in a Guatemalan Enzootic Focus. Am. J. Trop. Med. Hyg. 1978, 27, 290–296. [Google Scholar] [CrossRef] [PubMed]
  122. Scherer, W.F.; Dickerman, R.W.; Cupp, E.W.; Ordonez, J.V. Ecologic Observations of Venezuelan Encephalitis Virus in Vertebrates and Isolations of Nepuyo and Patois Viruses from Sentinel Hamsters at Pacific and Atlantic Habitats in Guatemala, 1968–1980. Am. J. Trop. Med. Hyg. 1985, 34, 790–798. [Google Scholar] [CrossRef] [PubMed]
  123. León, B.; Jiménez, C.; González, R.; Ramirez-Carvajal, L. First Complete Coding Sequence of a Venezuelan Equine Encephalitis Virus Strain Isolated from an Equine Encephalitis Case in Costa Rica. Microbiol. Resour. Announc. 2019, 8. [Google Scholar] [CrossRef] [Green Version]
  124. León, B.; Käsbohrer, A.; Hutter, S.E.; Baldi, M.; Firth, C.L.; Romero-Zúñiga, J.J.; Jiménez, C. National Seroprevalence and Risk Factors for Eastern Equine Encephalitis and Venezuelan Equine Encephalitis in Costa Rica. J. Equine Vet. Sci. 2020, 92, 103140. [Google Scholar] [CrossRef]
  125. Torres, R.; Samudio, R.; Carrera, J.-P.; Young, J.; Márquez, R.; Hurtado, L.; Weaver, S.; Chaves, L.F.; Tesh, R.; Cáceres, L. Enzootic Mosquito Vector Species at Equine Encephalitis Transmission Foci in the República de Panamá. PLoS ONE 2017, 12, e0185491. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  126. Luciani, K.; Abadía, I.; Martínez-Torres, A.O.; Cisneros, J.; Guerra, I.; García, M.; Estripeaut, D.; Carrera, J.P. Madariaga Virus Infection Associated with a Case of Acute Disseminated Encephalomyelitis. Am. J. Trop. Med. Hyg. 2015, 92, 1130–1132. [Google Scholar] [CrossRef] [Green Version]
  127. Dietz, W.H.; Galindo, P.; Johnson, K.M. Eastern Equine Encephalomyelitis in Panama: The Epidemiology of the 1973 Epizootic. Am. J. Trop. Med. Hyg. 1980, 29, 133–140. [Google Scholar] [CrossRef] [PubMed]
  128. Obaldia, N.; Dutary, J.; Clavel, F.; Zarate, J.; Alvarez, O.; Evans, E.; Molina, A.; Serrano, R.; Villareal, A.; Boyd, R.R.; et al. Encefalomielitis Equina Del Este, Epizootic de 1986 En Panama. Notas Vet. 1991, 1, 4–7. [Google Scholar]
  129. Carrera, J.-P.; Forrester, N.; Wang, E.; Vittor, A.Y.; Haddow, A.D.; López-Vergès, S.; Abadía, I.; Castaño, E.; Sosa, N.; Báez, C.; et al. Eastern Equine Encephalitis in Latin America. N. Engl. J. Med. 2013, 369, 732–744. [Google Scholar] [CrossRef] [Green Version]
  130. Azar, S.R.; Campos, R.K.; Bergren, N.A.; Camargos, V.N.; Rossi, S.L. Epidemic Alphaviruses: Ecology, Emergence and Outbreaks. Microorganisms 2020, 8, 1167. [Google Scholar] [CrossRef] [PubMed]
  131. Srihongse, S.; Galindo, P. The Isolation of Eastern Equine Encephalitis Virus from Culex (Melanoconion) taeniopus Dyar and Knab in Panama. Mosq. News 1967, 27, 074–076. [Google Scholar]
  132. Carrera, J.-P.; Pittí, Y.; Molares-Martínez, J.C.; Casal, E.; Pereyra-Elias, R.; Saenz, L.; Guerrero, I.; Galué, J.; Rodriguez-Alvarez, F.; Jackman, C.; et al. Clinical and Serological Findings of Madariaga and Venezuelan Equine Encephalitis Viral Infections: A Follow-up Study 5 Years After an Outbreak in Panama. Open Forum Infect. Dis. 2020, 7. [Google Scholar] [CrossRef] [PubMed]
  133. Carrera, J.-P.; Cucunubá, Z.M.; Neira, K.; Lambert, B.; Pittí, Y.; Liscano, J.; Garzón, J.L.; Beltran, D.; Collado-Mariscal, L.; Saenz, L.; et al. Endemic and Epidemic Human Alphavirus Infections in Eastern Panama: An Analysis of Population-Based Cross-Sectional Surveys. Am. J. Trop. Med. Hyg. 2020, 103, 2429–2437. [Google Scholar] [CrossRef] [PubMed]
  134. Monath, T.P.; Vasconcelos, P.F.C. Yellow Fever. J. Clin. Virol. 2015, 64, 160–173. [Google Scholar] [CrossRef] [PubMed]
  135. CDC. Areas with Risk of Yellow Fever Virus Transmission in Africa. Available online: https://www.cdc.gov/yellowfever/maps/africa.html (accessed on 20 September 2021).
  136. Cleary, R. Brazil. Sanitary Report from Rio—Sanarelli on the Yellow Fever Germ. Public Health Rep. 1897, 7, 53–750. [Google Scholar]
  137. Carter, H.R. Yellow Fever: An Epidemiological and Historical Study of Its Place of Origin; Williams & Wilkins: Baltimore, MA, USA, 1931. [Google Scholar]
  138. Elton, N.W. Sylvan Yellow Fever in Central America. Public Health Rep. 1952, 67, 426. [Google Scholar] [CrossRef] [PubMed]
  139. Littig, K.S.; Pratt, H.D. Handbook of General Information on Aedes Aegypti Eradication; Centers for Disease Control: Atlanta, GA, USA, 1967. [Google Scholar]
  140. Trapido, H.; Galindo, P. The Epidemiology of Yellow Fever in Middle America. Exp. Parasitol. 1956, 5, 285–323. [Google Scholar] [CrossRef]
  141. Romero, A.; Trejos, A. Clínica y Laboratorio de La Fiebre Amarilla En Costa Rica. Rev. Biol. Trop. 1954, 2, 113–168. [Google Scholar]
  142. Galindo, P.; Trapido, H. Forest Canopy Mosquitoes Associated with the Appearance of Sylvan Yellow Fever in Costa Rica, 1951. Am. J. Trop. Med. Hyg. 1955, 4, 543–549. [Google Scholar] [CrossRef] [PubMed]
  143. Galindo, P.; Trapido, H. Forest Mosquitoes Associated with Sylvan Yellow Fever in Nicaragua. Am. J. Trop. Med. Hyg. 1957, 6, 145–152. [Google Scholar] [CrossRef] [PubMed]
  144. de Rodaniche, E.; Galindo, P.; Johnson, C.M. Isolation of Yellow Fever Virus from Haemagogus lucifer, H. equinus, H. spegazzinii Falco, Sabethes chloropterus and Anopheles neivai Captured in Panama in the Fall of 1956. Am. J. Trop. Med. Hyg. 1957, 6, 681–685. [Google Scholar] [CrossRef] [PubMed]
  145. de Rodaniche, E.; Galindo, P. Isolation of Yellow Fever Virus from Haemagogus mesodentatus, H. equinus and Sabethes chloropterus Captured in Guatemala in 1956. Am. J. Trop. Med. Hyg. 1957, 6, 232–237. [Google Scholar] [CrossRef] [PubMed]
  146. Galindo, P.; de Rodaniche, E.; Trapido, H. Experimental Transmission of Yellow Fever by Central American Species of Haemagogus and Sabethes chloropterus. Am. J. Trop. Med. Hyg. 1956, 5, 1022–1031. [Google Scholar] [CrossRef]
  147. Soper, F.L. The 1964 Status of Aedes aegypti Eradication and Yellow Fever in the Americas. Am. J. Trop. Med. Hyg. 1965, 14, 887–891. [Google Scholar] [CrossRef]
  148. Dick, G.W.A.; Kitchen, S.F.; Haddow, A.J. Zika Virus (I). Isolations and Serological Specificity. Trans. R. Soc. Trop. Med. Hyg. 1952, 46, 509–520. [Google Scholar] [CrossRef]
  149. Kindhauser, M.K.; Allen, T.; Frank, V.; Santhana, R.S.; Dye, C. Zika: The Origin and Spread of a Mosquito-Borne Virus. Bull. World Health Organ. 2016, 94, 675. [Google Scholar] [CrossRef]
  150. Vasilakis, N.; Weaver, S.C. Flavivirus Transmission Focusing on Zika. Curr. Opin. Virol. 2017, 22, 30–35. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  151. Sampaio, G.D.S.; Brites, C.; Drexler, J.F.; Moreira-Soto, A.; Miranda, F.; Martins, E. Expansão Da Circulação Do Vírus Zika Da África à América, 1947–2018: Revisão Da Literatura. Epidemiol. Serviços Saúde 2019, 28, e2018411. [Google Scholar] [CrossRef] [Green Version]
  152. WHO (World Health Organization). Zika Epidemiology Update—July 2019. Available online: https://www.who.int/publications/m/item/zika-epidemiology-update (accessed on 5 October 2021).
  153. PAHO (Pan American Health Organization). Epidemiological Alert. Neurological Syndrome, Congenital Malformations, and Zika Virus Infection. Implications for Public Health in the Americas. 1 December 2015. Available online: https://iris.paho.org/bitstream/handle/10665.2/50697/EpiUpdate1December2015_eng.pdf?sequence=1&isAllowed=y (accessed on 4 October 2021).
  154. PAHO (Pan American Health Organization). Epidemiological Update. Neurological Syndrome, Congenital Anomalies, and Zika Virus Infection. 17 January 2016. Available online: https://www.paho.org/hq/dmdocuments/2016/2016-jan-17-cha-epi-update-zika-virus.pdf (accessed on 4 October 2021).
  155. PAHO (Pan American Health Organization). Epidemiological Update. Zika Virus Infection. 17 February 2016. Available online: https://iris.paho.org/bitstream/handle/10665.2/50658/EpiUpdate17February2016_eng.pdf?sequence=1&isAllowed=y (accessed on 4 October 2021).
  156. PAHO (Pan American Health Organization). Zika Epidemiological Update. 14 April 2016. Available online: https://www.paho.org/hq/dmdocuments/2016/2016-apr-14-cha-epi-update-zika-virus.pdf (accessed on 4 October 2021).
  157. Lanciotti, R.; Lambert, A.J.; Holodniy, M.; Saavedra, S.; Signor, L. del C.C. Phylogeny of Zika Virus in Western Hemisphere. Emerg. Infect. Dis. 2016, 22, 933–935. [Google Scholar] [CrossRef]
  158. Thézé, J.; Li, T.; du Plessis, L.; Bouquet, J.; Kraemer, M.U.G.; Somasekar, S.; Yu, G.; de Cesare, M.; Balmaseda, A.; Kuan, G.; et al. Genomic Epidemiology Reconstructs the Introduction and Spread of Zika Virus in Central America and Mexico. Cell Host Microbe 2018, 23, 855–864.e7. [Google Scholar] [CrossRef] [Green Version]
  159. Calderón-Arguedas, O.; Moreira-Soto, R.; Troyo, A. Zika Virus (ZIKA: New Emerging Pathogen Transmitted by Aedes Mosquitoes (Diptera: Culicidae) in the Latin American Subcontinent. Vector Biol. J. 2016, 2016. [Google Scholar] [CrossRef] [Green Version]
  160. Harris, M.; Caldwell, J.M.; Mordecai, E.A. Climate Drives Spatial Variation in Zika Epidemics in Latin America. Proc. R. Soc. B 2019, 286, 20191578. [Google Scholar] [CrossRef] [Green Version]
  161. PAHO (Pan American Health Organization). Casos de La Enfermedad Del Virus Del Zika. Por País, Territorio o Subregión. Casos Acumulados. Available online: https://www3.paho.org/data/index.php/es/?option=com_content&view=article&id=528:zika-weekly-es&Itemid=353 (accessed on 4 October 2021).
  162. Norman, F.F.; Chamorro, S.; Vázquez, A.; Sánchez-Seco, M.-P.; Pérez-Molina, J.-A.; Monge-Maillo, B.; Vivancos, M.-J.; Rodríguez-Dominguez, M.; Galán, J.-C.; de Ory, F.; et al. Sequential Chikungunya and Zika Virus Infections in a Traveler from Honduras. Am. J. Trop. Med. Hyg. 2016, 95, 1166–1168. [Google Scholar] [CrossRef] [Green Version]
  163. Brooks, T.; Roy-Burman, A.; Tuholske, C.; Busch, M.P.; Bakkour, S.; Stone, M.; Linnen, J.M.; Gao, K.; Coleman, J.; Bloch, E.M. Real-Time Evolution of Zika Virus Disease Outbreak, Roatán, Honduras. Emerg. Infect. Dis. 2017, 23, 1360–1363. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  164. Ferguson, N.M.; Cucunubá, Z.M.; Dorigatti, I.; Nedjati-Gilani, G.L.; Donnelly, C.A.; Basáñez, M.G.; Nouvellet, P.; Lessler, J. Countering the Zika Epidemic in Latin America. Science 2016, 353, 353–354. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  165. Ribeiro, G.S.; Hamer, G.L.; Diallo, M.; Kitron, U.; Ko, A.I.; Weaver, S.C. Influence of Herd Immunity in the Cyclical Nature of Arboviruses. Curr. Opin. Virol. 2020, 40, 1–10. [Google Scholar] [CrossRef] [PubMed]
  166. Gutiérrez-Bugallo, G.; Piedra, L.A.; Rodriguez, M.; Bisset, J.A.; Lourenço-de-Oliveira, R.; Weaver, S.C.; Vasilakis, N.; Vega-Rúa, A. Vector-Borne Transmission and Evolution of Zika Virus. Nat. Ecol. Evol. 2019, 3, 561–569. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  167. Vorou, R. Zika Virus, Vectors, Reservoirs, Amplifying Hosts, and Their Potential to Spread Worldwide: What We Know and What We Should Investigate Urgently. Int. J. Infect. Dis. 2016, 48, 85–90. [Google Scholar] [CrossRef] [Green Version]
  168. Rylands, A.B.; Groves, C.P.; Mittermeier, R.A.; Cortés-Ortiz, L.; Hines, J.J.H. Taxonomy and Distributions of Mesoamerican Primates. New Perspect. Study Mesoam. Primates 2006, 29–79. [Google Scholar] [CrossRef]
  169. Vanchiere, J.A.; Ruiz, J.C.; Brady, A.G.; Kuehl, T.J.; Williams, L.E.; Baze, W.B.; Wilkerson, G.K.; Nehete, P.N.; McClure, G.B.; Rogers, D.L.; et al. Experimental Zika Virus Infection of Neotropical Primates. Am. J. Trop. Med. Hyg. 2017, 98, 173–177. [Google Scholar] [CrossRef] [Green Version]
  170. Terzian, A.C.B.; Zini, N.; Sacchetto, L.; Rocha, R.F.; Parra, M.C.P.; del Sarto, J.L.; Dias, A.C.F.; Coutinho, F.; Rayra, J.; da Silva, R.A.; et al. Evidence of Natural Zika Virus Infection in Neotropical Non-Human Primates in Brazil. Sci. Rep. 2018, 8, 1–15. [Google Scholar] [CrossRef] [Green Version]
  171. Fernandes, R.S.; Bersot, M.I.; Castro, M.G.; Telleria, E.L.; Ferreira-de-Brito, A.; Raphael, L.M.; Bonaldo, M.C.; Lourenço-de-Oliveira, R. Low Vector Competence in Sylvatic Mosquitoes Limits Zika Virus to Initiate an Enzootic Cycle in South America. Sci. Rep. 2019, 9, 1–7. [Google Scholar] [CrossRef] [Green Version]
  172. Karna, A.K.; Azar, S.R.; Plante, J.A.; Yun, R.; Vasilakis, N.; Weaver, S.C.; Hansen, I.A.; Hanley, K.A. Colonized Sabethes cyaneus, a Sylvatic New World Mosquito Species, Shows a Low Vector Competence for Zika Virus Relative to Aedes aegypti. Viruses 2018, 10, 434. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  173. Rezza, G.; Weaver, S.C. Chikungunya as a Paradigm for Emerging Viral Diseases: Evaluating Disease Impact and Hurdles to Vaccine Development. PLoS Negl. Trop. Dis. 2019, 13, e0006919. [Google Scholar] [CrossRef]
  174. Cunha, M.S.; Costa, P.A.G.; Correa, I.A.; de Souza, M.R.M.; Calil, P.T.; da Silva, G.P.D.; Costa, S.M.; Fonseca, V.W.P.; Costa, L.J. da Chikungunya Virus: An Emergent Arbovirus to the South American Continent and a Continuous Threat to the World. Front. Microbiol. 2020, 11, 1297. [Google Scholar] [CrossRef] [PubMed]
  175. Edwards, T.; Signor, L.D.C.C.; Williams, C.; Donis, E.; Cuevas, L.E.; Adams, E.R. Co-Infections with Chikungunya and Dengue Viruses, Guatemala, 2015. Emerg. Infect. Dis. 2016, 22, 2003–2005. [Google Scholar] [CrossRef] [Green Version]
  176. PAHO (Pan American Health Organization). New Cases of Chikungunya in the Americas, 2013–2017. Available online: https://ais.paho.org/phip/viz/ed_chikungunya_amro.asp (accessed on 4 October 2021).
  177. Díaz, Y.; Carrera, J.-P.; Cerezo, L.; Arauz, D.; Guerra, I.; Cisneros, J.; Armién, B.; Botello, A.M.; Araúz, A.B.; Gonzalez, V.; et al. Chikungunya Virus Infection: First Detection of Imported and Autochthonous Cases in Panama. Am. J. Trop. Med. Hyg. 2015, 92, 482–485. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  178. Carrera, J.-P.; Díaz, Y.; Denis, B.; de Mosca, I.B.; Rodriguez, D.; Cedeño, I.; Arauz, D.; González, P.; Cerezo, L.; Moreno, L.; et al. Unusual Pattern of Chikungunya Virus Epidemic in the Americas, the Panamanian Experience. PLoS Negl. Trop. Dis. 2017, 11, e0005338. [Google Scholar] [CrossRef]
  179. Whiteman, A.; Gomez, C.; Rovira, J.; Chen, G.; McMillan, W.O.; Loaiza, J. Aedes Mosquito Infestation in Socioeconomically Contrasting Neighborhoods of Panama City. EcoHealth 2019, 16, 210–221. [Google Scholar] [CrossRef]
  180. Ministerio del Poder Ciudadano para la Salud de Nicaragua Seroprevalencia y Tasa de Ataque Clínica Por Chikungunya En Nicaragua, 2014–2015. Rev. Panam. Salud Publica 2017, 41, e59.
  181. Valentine, M.J.; Murdock, C.C.; Kelly, P.J. Sylvatic Cycles of Arboviruses in Non-Human Primates. Parasites Vectors 2019, 12, 1–18. [Google Scholar] [CrossRef]
  182. Bosco-Lauth, A.M.; Hartwig, A.E.; Bowen, R.A. Reptiles and Amphibians as Potential Reservoir Hosts of Chikungunya Virus. Am. J. Trop. Med. Hyg. 2018, 98, 841–844. [Google Scholar] [CrossRef] [Green Version]
  183. Moreira-Soto, A.; Carneiro, I.D.O.; Fischer, C.; Feldmann, M.; Kümmerer, B.M.; Silva, N.S.; Santos, U.G.; Souza, B.F.D.C.D.; Liborio, F.D.A.; Valença-Montenegro, M.M.; et al. Limited Evidence for Infection of Urban and Peri-Urban Nonhuman Primates with Zika and Chikungunya Viruses in Brazil. mSphere 2018, 3, e00523-17. [Google Scholar] [CrossRef] [Green Version]
  184. Lourenço-de-Oliveira, R.; Failloux, A.-B. High Risk for Chikungunya Virus to Initiate an Enzootic Sylvatic Cycle in the Tropical Americas. PLoS Negl. Trop. Dis. 2017, 11, e0005698. [Google Scholar] [CrossRef] [Green Version]
  185. Gratz, N.G. Critical Review of the Vector Status of Aedes albopictus. Med. Vet. Entomol. 2004, 18, 215–227. [Google Scholar] [CrossRef]
  186. Calderón-Arguedas, O.; Troyo, A.; Moreira-Soto, R.D.; Marín, R.; Taylor, L. Dengue Viruses in Aedes albopictus Skuse from a Pineapple Plantation in Costa Rica. J. Vector Ecol. 2015, 40, 184–186. [Google Scholar] [CrossRef] [Green Version]
  187. Lambrechts, L.; Scott, T.W.; Gubler, D.J. Consequences of the Expanding Global Distribution of Aedes albopictus for Dengue Virus Transmission. PLoS Negl. Trop. Dis. 2010, 4, e646. [Google Scholar] [CrossRef] [PubMed]
  188. Garcia-Rejon, J.E.; Navarro, J.-C.; Cigarroa-Toledo, N.; Baak-Baak, C.M. An Updated Review of the Invasive Aedes albopictus in the Americas; The Minimum Infection Rate Suggests That Is More Efficient in the Vertical than Horizontal Transmission of Arboviruses. Preprints 2021, 2021070339. [Google Scholar] [CrossRef]
  189. Carpenter, D.N.; Sutton, R.L. Dengue in the Isthmian Canal Zone. Including a Report on the Laboratory Findings. J. Am. Med. Assoc. 1905, XLIV, 214–216. [Google Scholar] [CrossRef] [Green Version]
  190. Dick, O.B.; Martín, J.L.S.; Montoya, R.H.; del Diego, J.; Zambrano, B.; Dayan, G.H. The History of Dengue Outbreaks in the Americas. Am. J. Trop. Med. Hyg. 2012, 87, 584–593. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  191. Wilson, M.E.; Chen, L.H. Dengue in the Americas. Dengue Bull. 2002, 26, 44–61. [Google Scholar]
  192. Hayes, J.M.; García-Rivera, E.; Flores-Reyna, R.; Suárez-Rangel, G.; Rodríguez-Mata, T.; Coto-Portillo, R.; Baltrons-Orellana, R.; Mendoza-Rodríguez, E.; de Garay, B.F.; Jubis-Estrada, J.; et al. Risk Factors for Infection During a Severe Dengue Outbreak in El Salvador in 2000. Am. J. Trop. Med. Hyg. 2003, 69, 629–633. [Google Scholar] [CrossRef] [Green Version]
  193. Kouri, G.; Valdéz, M.; Arguello, L.; Guzmán, M.G.; Valdés, L.; Soler, M.; Bravo, J. Epidemic Dengue in Nicaragua 1985. Rev. Inst. Med. Trop. São Paulo 1991, 33, 365–371. [Google Scholar] [CrossRef]
  194. PAHO (Pan American Health Organization). Dengue Fever in Costa Rica and Panama. Epidemiol. Bull. 1994, 15, 9–11. [Google Scholar]
  195. Díaz, Y.; Chen-Germán, M.; Quiroz, E.; Carrera, J.-P.; Cisneros, J.; Moreno, B.; Cerezo, L.; Martinez-Torres, A.O.; Moreno, L.; de Mosca, I.B.; et al. Molecular Epidemiology of Dengue in Panama: 25 Years of Circulation. Viruses 2019, 11, 764. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  196. Soto-Garita, C.; Somogyi, T.; Vicente-Santos, A.; Corrales-Aguilar, E. Molecular Characterization of Two Major Dengue Outbreaks in Costa Rica. Am. J. Trop. Med. Hyg. 2016, 95, 201–205. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  197. PAHO. Dengue in the Americas: The Epidemics of 2000. Epidemiol. Bull. 2000, 21, 4–8. [Google Scholar]
  198. Pinheiro, F.; Nelson, M. Re-Emergence of Dengue and Emergence of Dengue Haemorrhagic Fever in the Americas. Dengue Bull. 1997, 21, 24. [Google Scholar]
  199. Alirol, E.; Getaz, L.; Stoll, B.; Chappuis, F.; Loutan, L. Urbanisation and Infectious Diseases in a Globalised World. Lancet Infect. Dis. 2011, 11, 131–141. [Google Scholar] [CrossRef]
  200. Bonizzoni, M.; Gasperi, G.; Chen, X.; James, A.A. The Invasive Mosquito Species Aedes albopictus: Current Knowledge and Future Perspectives. Trends Parasitol. 2013, 29, 460–468. [Google Scholar] [CrossRef] [Green Version]
  201. Rosen, L. Observations on the Epidemiology of Dengue in Panama. Am. J. Epidemiol. 1958, 68, 45–58. [Google Scholar] [CrossRef] [PubMed]
  202. Rosen, L. Experimental Infection of New World Monkeys with Dengue and Yellow Fever Viruses. Am. J. Trop. Med. Hyg. 1958, 7, 406–410. [Google Scholar] [CrossRef] [PubMed]
  203. Mota, M.T.d.O.; Ribeiro, M.R.; Vedovello, D.; Nogueira, M.L. Mayaro Virus: A Neglected Arbovirus of the Americas. Future Virol. 2015, 10, 1109–1122. [Google Scholar] [CrossRef]
  204. Acosta-Ampudia, Y.; Monsalve, D.M.; Rodríguez, Y.; Pacheco, Y.; Anaya, J.-M.; Ramírez-Santana, C. Mayaro: An Emerging Viral Threat? Emerg. Microbes Infect. 2018, 7, 163. [Google Scholar] [CrossRef]
  205. Seymour, C.; Peralta, P.H.; Montgomery, G.G. Serologic Evidence of Natural Togavirus Infections in Panamanian Sloths and Other Vertebrates. Am. J. Trop. Med. Hyg. 1983, 32, 854–861. [Google Scholar] [CrossRef]
  206. Muñoz, M.; Navarro, J.C. Virus Mayaro: Un Arbovirus Reemergente En Venezuela y Latinoamérica. Biomédica 2012, 32, 286–302. [Google Scholar] [CrossRef] [Green Version]
  207. Pauvolid-Corrêa, A.; Juliano, R.S.; Campos, Z.; Velez, J.; Nogueira, R.M.R.; Komar, N. Neutralising Antibodies for Mayaro Virus in Pantanal, Brazil. Mem. Inst. Oswaldo Cruz 2015, 110, 125–133. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  208. Wiggins, K.; Eastmond, B.; Alto, B.W. Transmission Potential of Mayaro Virus in Florida Aedes aegypti and Aedes albopictus Mosquitoes. Med. Vet. Entomol. 2018, 32, 436–442. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  209. Srihongse, S.; Stacy, H.G.; Gauld, J.R. A Survey to Assess Potential Human Disease Hazards along Proposed Sea Level Canal Routes in Panamà and Colombia. IV. Arbovirus Surveillance in Man. Mil. Med. 1973, 138, 422–426. [Google Scholar] [CrossRef]
  210. Ganjian, N.; Riviere-Cinnamond, A. Mayaro Virus in Latin America and the Caribbean. Rev. Panam. Salud Publica/Pan Am. J. Public Health 2020, 44, e14. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  211. Pinheiro, F.; LeDuc, J. The Arboviruses: Epidemiology and Ecology. In The Arboviruses: Epidemiology and Ecology; Monath, T.P., Ed.; CRC Press: Boca Raton, FL, USA, 2019; Volume 3, pp. 137–150. [Google Scholar]
  212. Galindo, P.; Srihongse, S. Transmission of Arboviruses to Hamsters by the Bite of Naturally Infected Culex (Melanoconion) Mosquitoes. Am. J. Trop. Med. Hyg. 1967, 16, 525–530. [Google Scholar] [CrossRef]
  213. Long, K.C.; Ziegler, S.A.; Thangamani, S.; Hausser, N.L.; Kochel, T.J.; Higgs, S.; Tesh, R.B. Experimental Transmission of Mayaro Virus by Aedes aegypti. Am. J. Trop. Med. Hyg. 2011, 85, 750–757. [Google Scholar] [CrossRef] [Green Version]
  214. Mackay, I.M.; Arden, K.E. Mayaro Virus: A Forest Virus Primed for a Trip to the City? Microbes Infect. 2016, 18, 724–734. [Google Scholar] [CrossRef] [PubMed]
  215. WHO (World Health Organization). World Malaria Report: 20 Years of Global Progress and Challenges; WHO: Geneva, Switzerland, 2020. [Google Scholar]
  216. Sinka, M.E.; Bangs, M.J.; Manguin, S.; Rubio-Palis, Y.; Chareonviriyaphap, T.; Coetzee, M.; Mbogo, C.M.; Hemingway, J.; Patil, A.P.; Temperley, W.H.; et al. A Global Map of Dominant Malaria Vectors. Parasites Vectors 2012, 5, 1–11. [Google Scholar] [CrossRef] [Green Version]
  217. Loaiza, J.R.; Bermingham, E.; Scott, M.E.; Rovira, J.R.; Conn, J.E. Species Composition and Distribution of Adult Anopheles (Diptera: Culicidae) in Panama. J. Med. Entomol. 2008, 45, 841–851. [Google Scholar] [CrossRef] [PubMed]
  218. Hiwat, H.; Bretas, G. Ecology of Anopheles darlingi Root with Respect to Vector Importance: A Review. Parasites Vectors 2011, 4, 1–13. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  219. Warren, M.; Mason, J.; Hobbs, J. Natural Infections of Anopheles albimanus with Plasmodium in a Small Malaria Focus. Am. J. Trop. Med. Hyg. 1975, 24, 545–546. [Google Scholar] [CrossRef] [PubMed]
  220. Roberts, D.R.; Paris, J.F.; Manguin, S.; Harbach, R.E.; Woodruff, R.; Rejmankova, E.; Polanco, J.; Wullschleger, B.; Legters, L.J. Predictions of Malaria Vector Distribution in Belize Based on Multispectral Satellite Data. Am. J. Trop. Med. Hyg. 1996, 54, 304–308. [Google Scholar] [CrossRef] [PubMed]
  221. Escobar, D.; Ascencio, K.; Ortiz, A.; Palma, A.; Fontecha, G. Distribution and Phylogenetic Diversity of Anopheles Species in Malaria Endemic Areas of Honduras in an Elimination Setting. Parasites Vectors 2020, 13, 1–12. [Google Scholar] [CrossRef] [PubMed]
  222. Malaria Atlas Project Trends in Global Malaria Burden. Available online: https://www.malariaatlas.org/ (accessed on 30 September 2021).
  223. PAHO (Pan American Health Organization). El Salvador Certified as Malaria-Free by WHO. Available online: https://www.paho.org/en/news/25-2-2021-salvador-certified-malaria-free-who (accessed on 4 October 2021).
  224. WHO (World Health Organization). Zeroing in on Malaria Elimination: Final Report of the E-2020 Initiative; WHO: Geneva, Switzerland, 2021. [Google Scholar]
  225. WHO (World Health Organization). Global Technical Strategy for Malaria 2016–2030; WHO: Geneva, Switzerland, 2016. [Google Scholar]
  226. WHO (World Health Organization). A Framework for Malaria Elimination Global Malaria Programme; WHO: Geneva, Switzerland, 2017. [Google Scholar]
  227. PAHO (Pan American Health Organization). Epidemiological Update: Malaria in the Americas in the Context of COVID-19 Pandemic. 2020. Available online: https://www.paho.org/en/documents/epidemiological-update-malaria-10-june-2020 (accessed on 4 October 2021).
  228. Ferreira, M.U.; Castro, M.C. Malaria Situation in Latin America and the Caribbean: Residual and Resurgent Transmission and Challenges for Control and Elimination. Methods Mol. Biol. 2019, 2013, 57–70. [Google Scholar] [CrossRef] [PubMed]
  229. Herrera, S.; Quiñones, M.L.; Quintero, J.P.; Corredor, V.; Fuller, D.O.; Mateus, J.C.; Calzada, J.E.; Gutierrez, J.B.; Llanos, A.; Soto, E.; et al. Prospects for Malaria Elimination in Non-Amazonian Regions of Latin America. Acta Trop. 2012, 121, 315–323. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  230. Caminade, C.; Kovats, S.; Rocklov, J.; Tompkins, A.M.; Morse, A.P.; Colón-González, F.J.; Stenlund, H.; Martens, P.; Lloyd, S.J. Impact of Climate Change on Global Malaria Distribution. Proc. Natl. Acad. Sci. USA 2014, 111, 3286–3291. [Google Scholar] [CrossRef] [Green Version]
  231. Payne, R.C.; Scott, J.M. Anaplasmosis and Babesiosis in El Salvador. Trop. Anim. Health Prod. 1982, 14, 75–80. [Google Scholar] [CrossRef] [PubMed]
  232. Guglielmone, A.A. Epidemiology of Babesiosis and Anaplasmosis in South and Central America. Vet. Parasitol. 1995, 57, 109–119. [Google Scholar] [CrossRef]
  233. van Andel, J.M.; Dwinger, R.H.; Alvarez, J.A. Etude Du Taux d’infection Du Bétail et Des Tiques Associées Par Anaplasma et Babesia Sur La Côte Sud Du Guatemala. Rev. Élev. Méd. Vét. Pays Trop. 1997, 50, 284–292. [Google Scholar] [CrossRef]
  234. Teglas, M.; Matern, E.; Lein, S.; Foley, P.; Mahan, S.M.; Foley, J. Ticks and Tick-Borne Disease in Guatemalan Cattle and Horses. Vet. Parasitol. 2005, 131, 119–127. [Google Scholar] [CrossRef] [PubMed]
  235. Heerdink, G.; Petit, P.L.C.; Hofwegen, H.; van Genderen, P.J.J. Een Patiënt Met Koorts Na Een Bezoek Aan de Tropen: “Tick-Borne Relapsing Fever” Ontdekt in Een Dikkedruppelpreparaat [A Patient with Fever Following a Visit to the Tropics: Tick-Borne Relapsing Fever Discovered in a Thick Blood Smear Preparation]. Ned. Tijdschr. Geneeskd. 2006, 150, 2386–2389. [Google Scholar] [PubMed]
  236. Eremeeva, M.E.; Karpathy, S.E.; Levin, M.L.; Caballero, C.M.; Bermudez, S.; Dasch, G.A.; Motta, J.A. Spotted Fever Rickettsiae, Ehrlichia and Anaplasma, in Ticks from Peridomestic Environments in Panama. Clin. Microbiol. Infect. 2009, 15, 12–14. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  237. Bermúdez, S.E.; Eremeeva, M.E.; Karpathy, S.E.; Samudio, F.; Zambrano, M.L.; Zaldivar, Y.; Motta, J.A.; Dasch, G.A. Detection and Identification of Rickettsial Agents in Ticks from Domestic Mammals in Eastern Panama. J. Med. Entomol. 2009, 46, 856–861. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  238. Shebish, E.; Vemulapalli, R.; Oseto, C. Prevalence and Molecular Detection of Anaplasma marginale, Babesia bovis and Babesia bigemina in Cattle from Puntarenas Province, Costa Rica. Vet. Parasitol. 2012, 188, 164–167. [Google Scholar] [CrossRef]
  239. Dolz, G.; Abrego, L.; Romero, L.E.; Campos-Calderon, L.; Bouza-Mora, L.; Jiménez-Rocha, A.E. Ehrlichiosis y Anaplasmosis en Costa Rica. Acta Méd. Costarric. 2013, 55, 34–40. [Google Scholar]
  240. Mehrkens, L.R.; Shender, L.A.; Yabsley, M.J.; Shock, B.C.; Chinchilla, F.A.; Suarez, J.; Gilardi, K.V.K. White-Nosed Coatis (Nasua Narica) Are a Potential Reservoir of Trypanosoma cruzi and Other Potentially Zoonotic Pathogens in Monteverde, Costa Rica. J. Wildl. Dis. 2013, 49, 1014–1018. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  241. Rojas, A.; Rojas, D.; Montenegro, V.; Gutiérrez, R.; Yasur-Landau, D.; Baneth, G. Vector-Borne Pathogens in Dogs from Costa Rica: First Molecular Description of Babesia vogeli and Hepatozoon canis Infections with a High Prevalence of Monocytic Ehrlichiosis and the Manifestations of Co-Infection. Vet. Parasitol. 2014, 199, 121–128. [Google Scholar] [CrossRef] [PubMed]
  242. Santamaria, A.; Calzada, J.E.; Saldaña, A.; Yabsley, M.J.; Gottdenker, N.L. Molecular Diagnosis and Species Identification of Ehrlichia and Anaplasma Infections in Dogs from Panama, Central America. Vector Borne Zoonotic Dis. 2014, 14, 368–370. [Google Scholar] [CrossRef] [PubMed]
  243. Wei, L.; Kelly, P.; Ackerson, K.; El-Mahallawy, H.S.; Kaltenboeck, B.; Wang, C. Molecular Detection of Dirofilaria immitis, Hepatozoon canis, Babesia spp., Anaplasma platys and Ehrlichia canis in Dogs on Costa Rica. Acta Parasitol. 2014, 60, 21–25. [Google Scholar] [CrossRef] [PubMed]
  244. Wei, L.; Kelly, P.; Ackerson, K.; Zhang, J.; El-Mahallawy, H.S.; Kaltenboeck, B.; Wang, C. First Report of Babesia gibsoni in Central America and Survey for Vector-Borne Infections in Dogs from Nicaragua. Parasites Vectors 2014, 7, 1–6. [Google Scholar] [CrossRef] [Green Version]
  245. Rojas, N.; Castillo, D.; Marin, P. Molecular Detection of Ehrlichia chaffeensis in Humans, Costa Rica. Emerg. Infect. Dis. 2015, 21, 532–534. [Google Scholar] [CrossRef]
  246. O’Nion, V.L.; Montilla, H.J.; Qurollo, B.A.; Maggi, R.G.; Hegarty, B.C.; Tornquist, S.J.; Breitschwerdt, E.B. Potentially Novel Ehrlichia Species in Horses, Nicaragua. Emerg. Infect. Dis. 2015, 21, 335–338. [Google Scholar] [CrossRef] [Green Version]
  247. Posada-Guzmán, M.F.; Dolz, G.; Romero-Zúñiga, J.J.; Jiménez-Rocha, A.E. Detection of Babesia caballi and Theileria equi in Blood from Equines from Four Indigenous Communities in Costa Rica. Vet. Med. Int. 2015, 2015. [Google Scholar] [CrossRef] [PubMed]
  248. Lopez, J.E.; Krishnavahjala, A.; Garcia, M.N.; Bermudez, S. Tick-Borne Relapsing Fever Spirochetes in the Americas. Vet. Sci. 2016, 3, 16. [Google Scholar] [CrossRef]
  249. Campos-Calderón, L.; Ábrego-Sánchez, L.; Solórzano-Morales, A.; Alberti, A.; Tore, G.; Zobba, R.; Jiménez-Rocha, A.E.; Dolz, G. Molecular Detection and Identification of Rickettsiales Pathogens in Dog Ticks from Costa Rica. Ticks Tick-Borne Dis. 2016, 7, 1198–1202. [Google Scholar] [CrossRef]
  250. Chikeka, I.; Matute, A.J.; Dumler, J.S.; Woods, C.W.; Mayorga, O.; Reller, M.E. Use of Peptide-Based Enzyme-Linked Immunosorbent Assay Followed by Immunofluorescence Assay to Document Ehrlichia chaffeensis as a Cause of Febrile Illness in Nicaragua. J. Clin. Microbiol. 2016, 54, 1581–1585. [Google Scholar] [CrossRef] [Green Version]
  251. Bouza-Mora, L.; Dolz, G.; Solórzano-Morales, A.; Romero-Zuñiga, J.J.; Salazar-Sánchez, L.; Labruna, M.B.; Aguiar, D.M. Novel Genotype of Ehrlichia canis Detected in Samples of Human Blood Bank Donors in Costa Rica. Ticks Tick-Borne Dis. 2017, 8, 36–40. [Google Scholar] [CrossRef] [PubMed]
  252. Bermúdez, C.S.; Troyo, A. A Review of the Genus Rickettsia in Central America. Res. Rep. Trop. Med. 2018, 9, 103–112. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  253. Rimbaud Giambruno, E.; Mayorga-Escobar, M.I.; González, D.; Sequeira Valle, E.J.; Torres, H.; Montoya, C.; Ramírez, S. Estudio Epidemiológico de La Prevalencia y Evolución de Hemoparásitos En Burros Del Norte de Nicaragua. Calera 2018, 18, 26–28. [Google Scholar] [CrossRef] [Green Version]
  254. Vogel, H.; Foley, J.; Fiorello, C.V. Rickettsia africae and Novel Rickettsial Strain in Amblyomma spp. Ticks, Nicaragua, 2013. Emerg. Infect. Dis. 2018, 24, 385–387. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  255. Springer, A.; Montenegro, V.M.; Schicht, S.; Pantchev, N.; Strube, C. Seroprevalence and Current Infections of Canine Vector-Borne Diseases in Nicaragua. Parasites Vectors 2018, 11, 1–9. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  256. Springer, A.; Montenegro, V.M.; Schicht, S.; Wölfel, S.; Schaper, S.R.; Chitimia-Dobler, L.; Siebert, S.; Strube, C. Detection of Rickettsia monacensis and Rickettsia amblyommatis in Ticks Collected from Dogs in Costa Rica and Nicaragua. Ticks Tick-Borne Dis. 2018, 9, 1565–1572. [Google Scholar] [CrossRef]
  257. Springer, A.; Montenegro, V.M.; Schicht, S.; Globokar Vrohvec, M.; Pantchev, N.; Balzer, J.; Strube, C. Seroprevalence and Current Infections of Canine Vector-Borne Diseases in Costa Rica. Front. Vet. Sci. 2019, 6, 164. [Google Scholar] [CrossRef] [Green Version]
  258. Daza, C.; Osorio, J.; Santamaria, A.; Suárez, J.; Hurtado, A.; Bermúdez Castillero, S.E. Caracterización Del Primer Caso de Infección Humana Por Ehrlichia canis En Panamá. Rev. Méd. Panamá 2018, 38, 63–68. [Google Scholar] [CrossRef]
  259. Tyrrell, J.D.; Qurollo, B.A.; Tornquist, S.J.; Schlaich, K.G.; Kelsey, J.; Chandrashekar, R.; Breitschwerdt, E.B. Molecular Identification of Vector-Borne Organisms in Ehrlichia Seropositive Nicaraguan Horses and First Report of Rickettsia felis Infection in the Horse. Acta Trop. 2019, 200, 105170. [Google Scholar] [CrossRef]
  260. Panti-May, J.A.; Rodríguez-Vivas, R.I. Canine Babesiosis: A Literature Review of Prevalence, Distribution, and Diagnosis in Latin America and the Caribbean. Vet. Parasitol. Reg. Studies Rep. 2020, 21, 100417. [Google Scholar] [CrossRef] [PubMed]
  261. Bader, J.; Ramos, R.A.N.; Otranto, D.; Dantas-Torres, F. Vector-Borne Pathogens in Dogs from Guatemala, Central America. Vet. Parasitol. Reg. Stud. Rep. 2020, 22, 100468. [Google Scholar] [CrossRef] [PubMed]
  262. Romero, L.; Costa, F.B.; Labruna, M.B. Ticks and Tick-Borne Rickettsia in El Salvador. Exp. Appl. Acarol. 2021, 83, 545–554. [Google Scholar] [CrossRef] [PubMed]
  263. Bermúdez, C.S.E.; Félix, M.L.; Domínguez, A.L.; Kadoch, N.; Muñoz-Leal, S.; Venzal, J.M. Molecular Screening for Tick-Borne Bacteria and Hematozoa in Ixodes cf. boliviensis and Ixodes tapirus (Ixodida: Ixodidae) from Western Highlands of Panama. Curr. Res. Parasitol. Vector-Borne Dis. 2021, 1, 100034. [Google Scholar] [CrossRef]
  264. Bermúdez, S.; Martínez-Mandiche, J.; Domínguez, L.; Gonzalez, C.; Chavarria, O.; Moreno, A.; Góndola, J.; Correa, N.; Rodríguez, I.; Castillo, B.; et al. Diversity of Rickettsia in Ticks Collected from Wild Animals in Panama. Ticks Tick-Borne Diseases 2021, 12, 101723. [Google Scholar] [CrossRef]
  265. Su, H. Enfermedad de Lyme. Presentación de Un Caso. Rev. Med. Hond. 2004, 72, 193–197. [Google Scholar]
  266. Rojas-Solano, J.R.; Villalobos-Vindas, J. Caso Clínico Ehrliquiosis Granulocitotrópica Humana. Acta Méd. Costarric. 2007, 49, 121–123. [Google Scholar]
  267. de Mezerville, V.H.; Cuadra, J.I.P. Choque Séptico Por Ehrliquiosis. Acta Méd. Costarric. 2007, 49, 118–120. [Google Scholar] [CrossRef]
  268. Boza-Cordero, R. Enfermedad de Lyme (Borreliosis de Lyme) En Costa Rica. Acta Med. Costarric. 2011, 53, 34–36. [Google Scholar] [CrossRef]
  269. Brenes Valverde, D.; Brenes Martínez, S.; Quirós Rojas, I. Ehrliquiosis: Reporte de 2 Casos. Rev. Méd. Costa Rica Centroam. 2011, 598, 315–318. [Google Scholar]
  270. Villalobos-Zúñiga, M.-A.; Somogyi, T. Acute Lyme Disease in Costa Rica. Description of the First Autochthonous Case. Acta Méd. Costarric. 2012, 54, 55–58. [Google Scholar]
  271. Hun, L. Rickettsiosis En Costa Rica. Acta Med. Costarric. 2013, 55, 25–28. [Google Scholar]
  272. Peacock, M.G.; Ormsbee, R.A.; Johnson, K.M. Rickettsioses of Central America. Am. J. Trop. Med. Hyg. 1971, 20, 941–949. [Google Scholar] [CrossRef] [PubMed]
  273. Eremeeva, M.E.; Dasch, G.A. Challenges Posed by Tick-Borne Rickettsiae: Eco-Epidemiology and Public Health Implications. Front. Public Health 2015, 3, 55. [Google Scholar] [CrossRef]
  274. de Rodaniche, E.C.; Rodaniche, A. Spotted Fever in Panama; Isolation of the Etiologic Agent from a Fatal Case. Am. J. Trop. Med. Hyg. 1950, s1-30, 511–517. [Google Scholar] [CrossRef] [PubMed]
  275. Labruna, M.B. Ecology of Rickettsia in South America. Ann. N. Y. Acad. Sci. 2009, 1166, 156–166. [Google Scholar] [CrossRef]
  276. Nava, S.; Beati, L.; Labruna, M.B.; Cáceres, A.G.; Mangold, A.J.; Guglielmone, A.A. Reassessment of the Taxonomic Status of Amblyomma cajennense, (Fabricius, 1787) with the Description of Three New Species, Amblyomma tonelliae n. sp., Amblyomma interandium n. sp. and Amblyomma patinoi n. sp., and Reinstatement of Amblyomma mixtum, and Amblyomma sculptum (Ixodida: Ixodidae). Ticks Tick-Borne Dis. 2014, 5, 252–276. [Google Scholar] [CrossRef] [PubMed]
  277. Martínez-Caballero, A.; Moreno, B.; González, C.; Martínez, G.; Adames, M.; Pachar, J.V.; Varela-Petrucelli, J.B.; Martínez-Mandiche, J.; Suárez, J.A.; Domínguez, L.; et al. Descriptions of Two New Cases of Rocky Mountain Spotted Fever in Panama, and Coincident Infection with Rickettsia rickettsii in Rhipicephalus sanguineus s.l. in an Urban Locality of Panama City, Panama. Epidemiol. Infect. 2018, 146, 875–878. [Google Scholar] [CrossRef] [Green Version]
  278. Eremeeva, M.E.; Berganza, E.; Suarez, G.; Gobern, L.; Dueger, E.; Castillo, L.; Reyes, L.; Wikswo, M.E.; Abramowicz, K.F.; Dasch, G.A.; et al. Investigation of an Outbreak of Rickettsial Febrile Illness in Guatemala, 2007. Int. J. Infect. Dis. 2013, 17, e304–e311. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  279. Chen, L.H.; Wilson, M.E. Tick-Borne Rickettsiosis in Traveler Returning from Honduras. Emerg. Infect. Dis. 2009, 15, 1321–1323. [Google Scholar] [CrossRef]
  280. Reller, M.E.; Chikeka, I.; Miles, J.J.; Dumler, J.S.; Woods, C.W.; Mayorga, O.; Matute, A.J. First Identification and Description of Rickettsioses and Q Fever as Causes of Acute Febrile Illness in Nicaragua. PLoS Negl. Trop. Dis. 2016, 10, e0005185. [Google Scholar] [CrossRef] [Green Version]
  281. Zavala-Castro, J.E.; Zavala-Velázquez, J.E.; Peniche-Lara, G.F.; Uicab, J.E.S. Human Rickettsialpox, Southeastern Mexico. Emerg. Infect. Dis. 2009, 15, 1665–1667. [Google Scholar] [CrossRef] [PubMed]
  282. Zavala-Castro, J.E.; Zavala-Velázquez, J.E.; García, M.D.R.; León, J.J.A.; Dzul-Rosado, K.R. A Dog Naturally Infected with Rickettsia akari in Yucatan, México. Vector Borne Zoonotic Dis. 2009, 9, 345–347. [Google Scholar] [CrossRef] [PubMed]
  283. Rar, V.; Golovljova, I. Anaplasma, Ehrlichia, and “Candidatus Neoehrlichia” Bacteria: Pathogenicity, Biodiversity, and Molecular Genetic Characteristics, a Review. Infect. Genet. Evol. 2011, 11, 1842–1861. [Google Scholar] [CrossRef] [PubMed]
  284. Pruneau, L.; Moumène, A.; Meyer, D.F.; Marcelino, I.; Lefrançois, T.; Vachiéry, N. Understanding Anaplasmataceae Pathogenesis Using “Omics” Approaches. Front. Cell. Infect. Microbiol. 2014, 4, 86. [Google Scholar] [CrossRef] [Green Version]
  285. Conrad, J.; Norman, J.; Rodriguez, A.; Dennis, P.M.; Arguedas, R.; Jimenez, C.; Hope, J.G.; Yabsley, M.J.; Hernandez, S.M. Demographic and Pathogens of Domestic, Free-Roaming Pets and the Implications for Wild Carnivores and Human Health in the San Luis Region of Costa Rica. Vet. Sci. 2021, 8, 65. [Google Scholar] [CrossRef]
  286. Little, S.E. Ehrlichiosis. In Arthropod Borne Diseases; Springer: Cham, Switzerland, 2017; pp. 205–213. [Google Scholar]
  287. Rodriguez-Morales, A.J.; Bonilla-Aldana, D.K.; Idarraga-Bedoya, S.E.; Garcia-Bustos, J.J.; Cardona-Ospina, J.A.; Faccini-Martínez, Á.A. Epidemiology of Zoonotic Tick-Borne Diseases in Latin America: Are We Just Seeing the Tip of the Iceberg? F1000Research 2019, 7, 1988. [Google Scholar] [CrossRef]
  288. Rochlin, I.; Toledo, A. Emerging Tick-Borne Pathogens of Public Health Importance: A Mini-Review. J. Med. Microbiol. 2020, 69, 781–791. [Google Scholar] [CrossRef]
  289. Barrantes-González, A.V.; Jiménez-Rocha, A.E.; Romero-Zuñiga, J.J.; Dolz, G. Serology, Molecular Detection and Risk Factors of Ehrlichia canis Infection in Dogs in Costa Rica. Ticks Tick-Borne Dis. 2016, 7, 1245–1251. [Google Scholar] [CrossRef]
  290. Talagrand-Reboul, E.; Boyer, P.H.; Bergström, S.; Vial, L.; Boulanger, N. Relapsing Fevers: Neglected Tick-Borne Diseases. Front. Cell. Infect. Microbiol. 2018, 8, 98. [Google Scholar] [CrossRef] [Green Version]
  291. Margos, G.; Fingerle, V.; Cutler, S.; Gofton, A.; Stevenson, B.; Estrada-Peña, A. Controversies in Bacterial Taxonomy: The Example of the Genus Borrelia. Ticks Tick-Borne Dis. 2020, 11, 101335. [Google Scholar] [CrossRef]
  292. Darling, S.T. The Relapsing Fever of Panama. Arch. Intern. Med. 1909, IV, 150–185. [Google Scholar] [CrossRef] [Green Version]
  293. Dunn, L.H.; Clark, H.C. Notes on Relapsing Fever in Panama with Special Reference to Animal Hosts. Am. J. Trop. Med. Hyg. 1933, S1–S13, 201–209. [Google Scholar] [CrossRef]
  294. Faccini-Martínez, Á.A.; Botero-García, C.A. Regarding Tick-Borne Relapsing Fever in the Americas; Some Historical Aspects of a Forgotten Disease in Colombia. Vet. Sci. 2016, 3, 33. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  295. Muñoz-Leal, S.; Faccini-Martínez, Á.A.; Costa, F.B.; Marcili, A.; Mesquita, E.T.K.C.; Marques, E.P.; Labruna, M.B. Isolation and Molecular Characterization of a Relapsing Fever Borrelia Recovered from Ornithodoros rudis in Brazil. Ticks Tick-Borne Dis. 2018, 9, 864–871. [Google Scholar] [CrossRef]
  296. Robles, A.; Fong, J.; Cervantes, J. Borrelia Infection in Latin America. Rev. Investig. Clin. 2018, 70, 158–163. [Google Scholar] [CrossRef]
  297. Bermúdez, S.; Domínguez, L.; Troyo, A.; Montenegro, V.; Venzal, J. Ticks Infesting Humans in Central America: A Review of Their Relevance in Public Health. Curr. Res. Parasitol. Vector Borne Dis. 2021, in press. [Google Scholar] [CrossRef]
  298. Ramos-Castañeda, J.; dos Santos, F.B.; Martínez-Vega, R.; de Araujo, J.M.G.; Joint, G.; Sarti, E. Dengue in Latin America: Systematic Review of Molecular Epidemiological Trends. PLoS Negl. Trop. Dis. 2017, 11, e0005224. [Google Scholar] [CrossRef] [Green Version]
  299. Vieira, C.J.D.S.P.; Thies, S.F.; da Silva, D.J.F.; Kubiszeski, J.R.; Barreto, E.S.; Monteiro, H.A.O.; Mondini, A.; São Bernardo, C.S.; Bronzoni, R.V.M. Ecological Aspects of Potential Arbovirus Vectors (Diptera: Culicidae) in an Urban Landscape of Southern Amazon, Brazil. Acta Trop. 2020, 202, 105276. [Google Scholar] [CrossRef] [PubMed]
  300. Wilke, A.; Benelli, G.; Beier, J.C. Anthropogenic Changes and Associated Impacts on Vector-borne Diseases. Trends Parasitol. 2021, 37, 1027–1030. [Google Scholar] [CrossRef] [PubMed]
  301. Weaver, S.C. Urbanization and Geographic Expansion of Zoonotic Arboviral Diseases: Mechanisms and Potential Strategies for Prevention. Trends Microbiol. 2013, 21, 360–363. [Google Scholar] [CrossRef] [Green Version]
  302. Ellwanger, J.H.; Kulmann-Leal, B.; Kaminski, V.L.; Valverde-Villegas, J.M.; da Veiga, A.B.G.; Spilki, F.R.; Fearnside, P.M.; Caesar, L.; Giatti, L.L.; Wallau, G.L.; et al. Beyond Diversity Loss and Climate Change: Impacts of Amazon Deforestation on Infectious Diseases and Public Health. An. Acad. Bras. Ciênc. 2020, 92, 20191375. [Google Scholar] [CrossRef] [PubMed]
  303. Lwande, O.W.; Obanda, V.; Lindström, A.; Ahlm, C.; Evander, M.; Näslund, J.; Bucht, G. Globe-Trotting Aedes aegypti and Aedes albopictus: Risk Factors for Arbovirus Pandemics. Vector Borne Zoonotic Dis. 2020, 20, 71–81. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  304. da Silva Pessoa Vieira, C.J.; Bernardo, C.S.S.; da Silva, D.J.F.; Kubiszeski, J.R.; Barreto, E.S.; de Oliveira Monteiro, H.A.; Canale, G.R.; Peres, C.A.; Massey, A.L.; Levi, T.; et al. Land-Use Effects on Mosquito Biodiversity and Potential Arbovirus Emergence in the Southern Amazon, Brazil. Transbound. Emerg. Dis. 2021. [Google Scholar] [CrossRef] [PubMed]
  305. Wimberly, M.C.; Davis, J.K.; Evans, M.V.; Hess, A.; Newberry, P.M.; Solano-Asamoah, N.; Murdock, C.C. Land Cover Affects Microclimate and Temperature Suitability for Arbovirus Transmission in an Urban Landscape. PLoS Negl. Trop. Dis. 2020, 14, e0008614. [Google Scholar] [CrossRef]
  306. Loaiza, J.R.; Dutari, L.C.; Rovira, J.R.; Sanjur, O.I.; Laporta, G.Z.; Pecor, J.; Foley, D.H.; Eastwood, G.; Kramer, L.D.; Radtke, M.; et al. Disturbance and Mosquito Diversity in the Lowland Tropical Rainforest of Central Panama. Sci. Rep. 2017, 7, 1–13. [Google Scholar] [CrossRef] [Green Version]
  307. Loaiza, J.R.; Rovira, J.R.; Sanjur, O.I.; Zepeda, J.A.; Pecor, J.E.; Foley, D.H.; Dutari, L.; Radtke, M.; Pongsiri, M.J.; Molinar, O.S.; et al. Forest Disturbance and Vector Transmitted Diseases in the Lowland Tropical Rainforest of Central Panama. Trop. Med. Int. Health 2019, 24, 849–861. [Google Scholar] [CrossRef]
  308. Laporta, G.Z.; de Prado, P.I.K.L.; Kraenkel, R.A.; Coutinho, R.M.; Sallum, M.A.M. Biodiversity Can Help Prevent Malaria Outbreaks in Tropical Forests. PLoS Negl. Trop. Dis. 2013, 7, e2139. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  309. Bayles, B.R.; Rusk, A.; Christofferson, R.; Agar, G.; Pineda, M.A.; Chen, B.; Dagy, K.; Kelly, E.; Hummel, T.; Kuwada, K.; et al. Spatiotemporal Dynamics of Vector-Borne Disease Risk across Human Land-Use Gradients: Examining the Role of Agriculture, Indigenous Territories, and Protected Areas in Costa Rica. Lancet Glob. Health 2020, 8, S32. [Google Scholar] [CrossRef]
  310. Bates, M. Observations on the Distribution of Diurnal Mosquitoes in a Tropical Forest. Ecology 1944, 25, 159–170. [Google Scholar] [CrossRef]
  311. Pessanha, J. Febre Amarela: Uma Visão Do Cenário Atual. Rev. Med. Minas Gerais 2009, 19, 97–102. [Google Scholar]
  312. Ilacqua, R.C.; Medeiros-Sousa, A.R.; Ramos, D.G.; Obara, M.T.; Ceretti-Junior, W.; Mucci, L.F.; Marrelli, M.T.; Laporta, G.Z. Reemergence of Yellow Fever in Brazil: The Role of Distinct Landscape Fragmentation Thresholds. J. Environ. Public Health 2021, 2021, 8230789. [Google Scholar] [CrossRef]
  313. Alencar, J.; Lorosa, E.S.; Dégallier, N.; Serra-Freire, N.M.; Pacheco, J.B.; Guimarães, A.É. Feeding Patterns of Haemagogus janthinomys (Diptera: Culicidae) in Different Regions of Brazil. J. Med. Entomol. 2005, 42, 981–985. [Google Scholar] [CrossRef]
  314. Alencar, J.; de Mello, C.F.; Morone, F.; Albuquerque, H.G.; Serra-Freire, N.M.; Gleiser, R.M.; Silva, S.O.F.; Guimarães, A.É. Distribution of Haemagogus and Sabethes Species in Relation to Forest Cover and Climatic Factors in the Chapada Dos Guimarães National Park, State of Mato Grosso, Brazil. J. Am. Mosq. Control Assoc. 2018, 34, 85–92. [Google Scholar] [CrossRef] [PubMed]
  315. Chaverri, L.G.; Dillenbeck, C.; Lewis, D.; Rivera, C.; Romero, L.M.; Chaves, L.F. Mosquito Species (Diptera: Culicidae) Diversity from Ovitraps in a Mesoamerican Tropical Rainforest. J. Med. Entomol. 2018, 55, 646–653. [Google Scholar] [CrossRef]
  316. Yanoviak, S.P.; Paredes, J.E.R.; Lounibos, L.P.; Weaver, S.C. Deforestation Alters Phytotelm Habitat Availability and Mosquito Production in the Peruvian Amazon. Ecol. Appl.: Publ. Ecol. Soc. Am. 2006, 16, 1854–1864. [Google Scholar] [CrossRef]
  317. Santos, M.; Collado Mariscal, L.; Henríquez, B.; Garzón, J.; González, P.; Carrera, J.P.; Tello, J.; Koo, S.; Pascale, J.M.; Burkett-Cadena, N.; et al. Implementation of Bamboo and Monkey-Pot Traps for the Sampling Cavity-Breeding Mosquitoes in Darién, Panama. Acta Trop. 2020, 205, 105352. [Google Scholar] [CrossRef]
  318. Vasconcelos, P.; Travassos da Rosa, A.; Pinheiro, F.; Dégallier, N.; Travassos da Rosa, J. Febare Amarela CONCE I T 0. In Doenças Infecciosas e Parasitárias: Enfoque Amazônico; de Leão, R., Ed.; Cejup/UEPA/Instituto Evandro Chagas: Belém, Brazil, 1997. [Google Scholar]
  319. Pajot, F.; Geoffroy, B.; Chippaux, J. Ecologie d’Haemagogus janthinomys Dyar (DIptera, Culicidae) En Guyane Française. Premières Données. Cahiers-ORSTOM. Entomol. Méd. Parasitol. 1985, 23, 209–216. [Google Scholar]
  320. Gomes, A.d.C.; Torres, M.A.N.; de Paula, M.B.; Fernandes, A.; Marassá, A.M.; Consales, C.A.; Fonseca, D.F. Ecologia de Haemagogus e Sabethes (Diptera: Culicidae) Em Áreas Epizoóticas Do Vírus Da Febre Amarela, Rio Grande Do Sul, Brasil. Epidemiol. Serv. Saúde 2010, 19, 101–113. [Google Scholar] [CrossRef]
  321. Pinto, C.S.; Confalonieri, U.E.C.; Mascarenhas, B.M. Ecology of Haemagogus sp. and Sabethes sp. (Diptera: Culicidae) in Relation to the Microclimates of the Caxiuanã National Forest, Pará, Brazil. Mem. Inst. Oswaldo Cruz 2009, 104, 592–598. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  322. Silva, N.I.O.; Sacchetto, L.; de Rezende, I.M.; Trindade, G.D.S.; Labeaud, A.D.; de Thoisy, B.; Drumond, B.P. Recent Sylvatic Yellow Fever Virus Transmission in Brazil: The News from an Old Disease. Virol. J. 2020, 17, 1–12. [Google Scholar] [CrossRef] [Green Version]
  323. Couto-Lima, D.; Madec, Y.; Bersot, M.I.; Campos, S.S.; Motta, M.A.; dos Santos, F.B.; Vazeille, M.; Vasconcelos, P.F.d.C.; Lourenço-de-Oliveira, R.; Failloux, A.-B. Potential Risk of Re-Emergence of Urban Transmission of Yellow Fever Virus in Brazil Facilitated by Competent Aedes Populations. Sci. Rep. 2017, 7, 1–12. [Google Scholar] [CrossRef]
  324. Massad, E.; Amaku, M.; Coutinho, F.A.B.; Struchiner, C.J.; Lopez, L.F.; Coelho, G.; Wilder-Smith, A.; Burattini, M.N. The Risk of Urban Yellow Fever Resurgence in Aedes-Infested American Cities. Epidemiol. Infect. 2018, 146, 1219–1225. [Google Scholar] [CrossRef] [Green Version]
  325. Da Costa Vasconcelos, P.F. Yellow Fever in Brazil: Thoughts and Hypotheses on the Emergence in Previously Free Areas. Rev. Saúde Pública 2010, 44, 1144–1149. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  326. Codeço, C.T.; Luz, P.M.; Struchiner, C.J. Risk Assessment of Yellow Fever Urbanization in Rio de Janeiro, Brazil. Trans. R. Soc. Trop. Med. Hyg. 2004, 98, 702–710. [Google Scholar] [CrossRef]
  327. Moreno, E.; Spinola, S.; Tengan, C.; Brasil, R.; Siciliano, M.; Coimbra, T.; Silveira, V.; Rocco, I.; Bisordi, I.; Souza, R.; et al. Yellow Fever Epizootics in Non-Human Primates, São Paulo State, Brazil, 2008–2009. Rev. Inst. Med. Trop. Sao Paulo 2013, 55, 45–50. [Google Scholar] [CrossRef] [Green Version]
  328. Hamrick, P.N.; Aldighieri, S.; Machado, G.; Leonel, D.G.; Vilca, L.M.; Uriona, S.; Schneider, M.C. Geographic Patterns and Environmental Factors Associated with Human Yellow Fever Presence in the Americas. PLoS Negl. Trop. Dis. 2017, 11, e0005897. [Google Scholar] [CrossRef]
  329. Graham, K.; Bulloch, M.; Lewis, T. Foraging Behaviour of Three Primate Species in a Costa Rican Coastal Lowland Tropical Wet Forest. Biodivers. J. 2013, 4, 327–334. [Google Scholar]
  330. Cosner, C. Models for the Effects of Host Movement in Vector-Borne Disease Systems. Math. Biosci. 2015, 270, 192–197. [Google Scholar] [CrossRef] [PubMed]
  331. Clarke, M.R.; Collins, D.A.; Zucker, E.L. Responses to Deforestation in a Group of Mantled Howlers (Alouatta palliata) in Costa Rica. Int. J. Primatol. 2002, 23, 365–381. [Google Scholar] [CrossRef]
  332. Schreier, A.L.; Bolt, L.M.; Russell, D.G.; Readyhough, T.S.; Jacobson, Z.S.; Merrigan-Johnson, C.; Coggeshall, E.M.C. Mantled Howler Monkeys (Alouatta palliata) in a Costa Rican Forest Fragment Do Not Modify Activity Budgets or Spatial Cohesion in Response to Anthropogenic Edges. Folia Primatol. 2021, 92, 49–57. [Google Scholar] [CrossRef] [PubMed]
  333. Arroyo-Rodríguez, V.; Dias, P.A.D. Effects of Habitat Fragmentation and Disturbance on Howler Monkeys: A Review. Am. J. Primatol. 2010, 72, 1–16. [Google Scholar] [CrossRef] [PubMed]
  334. Estrada, A.; Coates-Estrada, R. Tropical Rain Forest Fragmentation and Wild Populations of Primates at Los Tuxtlas, Mexico. Int. J. Primatol. 1996, 17, 759–783. [Google Scholar] [CrossRef]
  335. McCann, C.; Williams-Guillén, K.; Koontz, F.; Espinoza, A.A.R.; Sánchez, J.C.M.; Koontz, C. Shade Coffee Plantations as Wildlife Refuge for Mantled Howler Monkeys (Alouatta palliata) in Nicaragua. Primates Fragm. 2003, 321–341. [Google Scholar] [CrossRef]
  336. Villatoro-Paz, F.; Sáenz-Méndez, J. La Fragmentación Del Hábitat: Impactos Sobre La Dinámica Huésped-Parásito de La Avifauna En Paisajes Agropecuarios de Esparza, Costa Rica. Zeledonia 2005, 9, 3–9. [Google Scholar]
  337. Bauch, S.C.; Birkenbach, A.M.; Pattanayak, S.K.; Sills, E.O. Public Health Impacts of Ecosystem Change in the Brazilian Amazon. Proc. Natl. Acad. Sci. USA 2015, 112, 7414–7419. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  338. Kalbus, A.; de Souza Sampaio, V.; Boenecke, J.; Reintjes, R. Exploring the Influence of Deforestation on Dengue Fever Incidence in the Brazilian Amazonas State. PLoS ONE 2021, 16, e0242685. [Google Scholar] [CrossRef] [PubMed]
  339. Young, K.I.; Mundis, S.; Widen, S.G.; Wood, T.G.; Tesh, R.B.; Cardosa, J.; Vasilakis, N.; Perera, D.; Hanley, K.A. Abundance and Distribution of Sylvatic Dengue Virus Vectors in Three Different Land Cover Types in Sarawak, Malaysian Borneo. Parasites Vectors 2017, 10, 1–14. [Google Scholar] [CrossRef] [Green Version]
  340. Calderón-Arguedas, O.; Troyo, A.; Solano, M.E.; Avendaño, A.; Beier, J.C. Urban Mosquito Species (Diptera: Culicidae) of Dengue Endemic Communities in the Greater Puntarenas Area, Costa Rica. Rev. Biol. Trop. 2009, 57, 1223–1234. [Google Scholar] [CrossRef] [PubMed]
  341. Madewell, Z.J.; Sosa, S.; Brouwer, K.C.; Juárez, J.G.; Romero, C.; Lenhart, A.; Cordón-Rosales, C. Associations between Household Environmental Factors and Immature Mosquito Abundance in Quetzaltenango, Guatemala. BMC Public Health 2019, 19, 1–11. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  342. Guagliardo, S.A.; Barboza, J.L.; Morrison, A.C.; Astete, H.; Vazquez-Prokopec, G.; Kitron, U. Patterns of Geographic Expansion of Aedes aegypti in the Peruvian Amazon. PLoS Negl. Trop. Dis. 2014, 8, e3033. [Google Scholar] [CrossRef]
  343. Hemme, R.R.; Thomas, C.L.; Chadee, D.D.; Severson, D.W. Influence of Urban Landscapes on Population Dynamics in a Short-Distance Migrant Mosquito: Evidence for the Dengue Vector Aedes aegypti. PLoS Negl. Trop. Dis. 2010, 4, e634. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  344. Fuller, D.O.; Troyo, A.; Beier, J.C. El Niño Southern Oscillation and Vegetation Dynamics as Predictors of Dengue Fever Cases in Costa Rica. Environ. Res. Lett. 2009, 4, 014011. [Google Scholar] [CrossRef] [PubMed]
  345. Mena, N.; Troyo, A.; Bonilla-Carrión, R.; Calderón-Arguedas, Ó. Factors Associated with Incidence of Dengue in Costa Rica | Factores Asociados Con La Incidencia de Dengue En Costa Rica. Rev. Panam. Salud Publica/Pan Am. J. Public Health 2011, 29. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  346. Campbell-Lendrum, D.; Manga, L.; Bagayoko, M.; Sommerfeld, J. Climate Change and Vector-Borne Diseases: What Are the Implications for Public Health Research and Policy? Philos. Trans. R. Soc. B: Biol. Sci. 2015, 370, 1–8. [Google Scholar] [CrossRef] [Green Version]
  347. Kramer, L.D. Complexity of Virus–Vector Interactions. Curr. Opin. Virol. 2016, 21, 81–86. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  348. Chaves, L.F.; Valerín Cordero, J.A.; Delgado, G.; Aguilar-Avendaño, C.; Maynes, E.; Gutiérrez Alvarado, J.M.; Ramírez Rojas, M.; Romero, L.M.; Marín Rodríguez, R. Modeling the Association between Aedes aegypti Ovitrap Egg Counts, Multi-Scale Remotely Sensed Environmental Data and Arboviral Cases at Puntarenas, Costa Rica (2017–2018). Curr. Res. Parasitol. Vector-Borne Dis. 2021, 1, 100014. [Google Scholar] [CrossRef]
  349. Fuller, D.O.; Troyo, A.; Calderón-Arguedas, O.; Beier, J.C. Dengue Vector (Aedes aegypti) Larval Habitats in an Urban Environment of Costa Rica Analysed with ASTER and QuickBird Imagery. Int. J. Remote Sens. 2010, 31, 3–11. [Google Scholar] [CrossRef]
  350. Troyo, A.; Fuller, D.O.; Calderón-Arguedas, O.; Solano, M.E.; Beier, J.C. Urban Structure and Dengue Incidence in Puntarenas, Costa Rica. Singap. J. Trop. Geogr. 2009, 30, 265–282. [Google Scholar] [CrossRef]
  351. Joyce, A.L.; Alvarez, F.S.; Hernandez, E. Forest Coverage and Socioeconomic Factors Associated with Dengue in El Salvador, 2011–2013. Vector Borne Zoonotic Dis. 2021, 21, 602–613. [Google Scholar] [CrossRef] [PubMed]
  352. Benedict, M.Q.; Levine, R.S.; Hawley, W.A.; Lounibos, L.P. Spread of The Tiger: Global Risk of Invasion by The Mosquito Aedes albopictus. Vector Borne Zoonotic Dis. 2007, 7, 76–85. [Google Scholar] [CrossRef] [Green Version]
  353. Lugo, E.D.C.; Moreno, G.; Zachariah, M.A.; López, M.M.; López, J.D.; Delgado, M.A.; Valle, S.I.; Espinoza, P.M.; Salgado, M.J.; Pérez, R.; et al. Identification of Aedes albopictus in Urban Nicaragua. J. Am. Mosq. Control Assoc. 2005, 21, 325–327. [Google Scholar] [CrossRef]
  354. Marín, R.; Marquetti, M.d.C.; Álvarez, Y.; Gutiérrez, J.M.; González, R. Especies de Mosquitos (Diptera: Culicidae) y Sus Sitios de Cría En La Región Huetar Atlántica, Costa Rica. Rev. Bioméd. 2009, 20, 15–23. [Google Scholar] [CrossRef]
  355. Ogata, K.; Lopez Samayoa, A. Discovery of Aedes albopictus in Guatemala. J. Am. Mosq. Control Assoc. 1996, 12, 503–506. [Google Scholar]
  356. Ortega-Morales, A.I.; Mis-Avila, P.; Domínguez-Galera, M.; Canul-Amaro, G.; Esparza-Aguilar, J.; Carlos-Azueta, J.; Badillo-Perry, S.; Marin, P.; Polanco, J.; Fernández-Salas, I. First Record of Stegomyia albopicta [Aedes albopictus In Belize. Southwest. Entomol. 2010, 35, 197–198. [Google Scholar] [CrossRef]
  357. Belli, A.; Arostegui, J.; Garcia, J.; Aguilar, C.; Lugo, E.; Lopez, D.; Valle, S.; Lopez, M.; Harris, E.; Coloma, J. Introduction and Establishment of Aedes albopictus (Diptera: Culicidae) in Managua, Nicaragua. J. Med. Entomol. 2015, 52, 713–718. [Google Scholar] [CrossRef] [Green Version]
  358. Marín-Rodríguez, R.; Calderón-Arguedas, O.; Díaz-Ríos, M.; Duarte-Solano, G.; Valle Arguedas, J.J.; Troyo-Rodríguez, A. Primer Hallazgo de Aedes albopictus Skuse En El Gran Área Metropolitana de Costa Rica. Rev. Costarric. Salud Pública 2014, 23, 1–4. [Google Scholar]
  359. Rojas-Araya, D.; Marín-Rodríguez, R.; Gutiérrez-Alvarado, M.; Romero-Vega, L.M.; Calderón-Arguedas, O.; Troyo, A. Nuevos Registros de Aedes albopictus (Skuse) En Cinco Localidades de Costa Rica. Rev. Bioméd. 2017, 28, 79–88. [Google Scholar] [CrossRef]
  360. Wagman, J.; Grieco, J.P.; King, R.; Briceño, I.; Bautista, K.; Polanco, J.; Pecor, J.; Achee, N.L. First Record and Demonstration of a Southward Expansion of Aedes albopictus into Orange Walk Town, Belize, Central America. J. Am. Mosq. Control Assoc. 2013, 29, 380–382. [Google Scholar] [CrossRef] [PubMed]
  361. Futami, K.; Valderrama, A.; Baldi, M.; Minakawa, N.; Marín Rodríguez, R.; Chaves, L.F. New and Common Haplotypes Shape Genetic Diversity in Asian Tiger Mosquito Populations from Costa Rica and Panamá. J. Econ. Entomol. 2015, 108, 761–768. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  362. Calderón-Arguedas, Ó.; Moreira-Soto, R.D.; Vicente-Santos, A.; Corrales-Aguilar, E.; Rojas-Araya, D.; Troyo, A.; Calderón-Arguedas, Ó.; Moreira-Soto, R.D.; Vicente-Santos, A.; Corrales-Aguilar, E.; et al. Papel Potencial de Aedes albopictus Skuse En La Transmisión de Virus Dengue (DENV) En Una Zona de Actividad Piñera de Costa Rica. Rev. Bioméd. 2019, 30, 33–41. [Google Scholar] [CrossRef] [Green Version]
  363. Hanley, K.A.; Monath, T.P.; Weaver, S.C.; Rossi, S.L.; Richman, R.L.; Vasilakis, N. Fever versus Fever: The Role of Host and Vector Susceptibility and Interspecific Competition in Shaping the Current and Future Distributions of the Sylvatic Cycles of Dengue Virus and Yellow Fever Virus. Infect. Genet. Evol. 2013, 19, 292–311. [Google Scholar] [CrossRef] [Green Version]
  364. Hubálek, Z.; Rudolf, I.; Nowotny, N. Arboviruses Pathogenic for Domestic and Wild Animals. Adv. Virus Res. 2014, 89, 201–275. [Google Scholar] [CrossRef]
  365. Vasilakis, N.; Weaver, S.C. Chapter 1—The History and Evolution of Human Dengue Emergence. Adv. Virus Res. 2008, 72, 1–76. [Google Scholar] [CrossRef]
  366. Figueiredo, L.T.M. Human Urban Arboviruses Can Infect Wild Animals and Jump to Sylvatic Maintenance Cycles in South America. Front. Cell. Infect. Microbiol. 2019, 9, 259. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  367. Althouse, B.M.; Guerbois, M.; Cummings, D.A.T.; Diop, O.M.; Faye, O.; Faye, A.; Diallo, D.; Sadio, B.D.; Sow, A.; Faye, O.; et al. Role of Monkeys in the Sylvatic Cycle of Chikungunya Virus in Senegal. Nat. Commun. 2018, 9, 1–10. [Google Scholar] [CrossRef] [Green Version]
  368. Hendy, A.; Hernandez-Acosta, E.; Valério, D.; Mendonça, C.; Costa, E.R.; Júnior, J.T.A.; Assunção, F.P.; Scarpassa, V.M.; Gordo, M.; Fé, N.F.; et al. The Vertical Stratification of Potential Bridge Vectors of Mosquito-Borne Viruses in a Central Amazonian Forest Bordering Manaus, Brazil. Sci. Rep. 2020, 10, 1–13. [Google Scholar] [CrossRef]
  369. Yasuoka, J.; Levins, R. Impact of Deforestation and Agricultural Development on Anopheline Ecology and Malaria Epidemiology. Am. J. Trop. Med. Hyg. 2007, 76, 450–460. [Google Scholar] [CrossRef] [Green Version]
  370. Carter, K.H.; Singh, P.; Mujica, O.J.; Escalada, R.P.; Ade, M.P.; Castellanos, L.G.; Espinal, M.A. Malaria in the Americas: Trends from 1959 to 2011. Am. J. Trop. Med. Hyg. 2015, 92, 302–316. [Google Scholar] [CrossRef] [PubMed]
  371. Alvarez Pineda, M.; Bayles, B.; Dagy, K.; Kelly, E.; Martin, S.; Faerron, C. Spatial Dynamics of Vector-Borne Disease Risk in Costa Rica: Examining the Role of Anthropogenic Landscapes, Indigenous Territories, and Protected Areas in a Biodiversity Hotspot. In Proceedings of the American Geophysical Union, Fall Meeting 2019, San Francisco, CA, USA, 9–13 December 2019; Volume 2019. [Google Scholar]
  372. MacDonald, A.J.; Mordecai, E.A. Amazon Deforestation Drives Malaria Transmission, and Malaria Burden Reduces Forest Clearing. Proc. Natl. Acad. Sci. USA 2019, 116, 22212–22218. [Google Scholar] [CrossRef] [PubMed]
  373. Laporta, G.Z.; Ilacqua, R.C.; Bergo, E.S.; Chaves, L.S.M.; Rodovalho, S.R.; Moresco, G.G.; Figueira, E.A.G.; Massad, E.; de Oliveira, T.M.P.; Bickersmith, S.A.; et al. Malaria Transmission in Landscapes with Varying Deforestation Levels and Timelines in the Amazon: A Longitudinal Spatiotemporal Study. Sci. Rep. 2021, 11, 1–14. [Google Scholar] [CrossRef] [PubMed]
  374. Bourke, B.P.; Conn, J.E.; de Oliveira, T.M.P.; Chaves, L.S.M.; Bergo, E.S.; Laporta, G.Z.; Sallum, M.A.M. Exploring Malaria Vector Diversity on the Amazon Frontier. Malar. J. 2018, 17, 1–17. [Google Scholar] [CrossRef]
  375. Sallum, M.A.M.; Conn, J.E.; Bergo, E.S.; Laporta, G.Z.; Chaves, L.S.M.; Bickersmith, S.A.; de Oliveira, T.M.P.; Figueira, E.A.G.; Moresco, G.; Olívêr, L.; et al. Vector Competence, Vectorial Capacity of Nyssorhynchus darlingi and the Basic Reproduction Number of Plasmodium vivax in Agricultural Settlements in the Amazonian Region of Brazil. Malar. J. 2019, 18, 1–15. [Google Scholar] [CrossRef] [Green Version]
  376. Guerra, C.A.; Snow, R.W.; Hay, S.I. A Global Assessment of Closed Forests, Deforestation and Malaria Risk. Ann. Trop. Med. Parasitol. 2006, 100, 189–204. [Google Scholar] [CrossRef]
  377. Torres-Cosme, R.; Rigg, C.; Santamaría, A.M.; Vásquez, V.; Victoria, C.; Ramirez, J.L.; Calzada, J.E.; Carrera, L.C. Natural Malaria Infection in Anophelines Vectors and Their Incrimination in Local Malaria Transmission in Darién, Panama. PLoS ONE 2021, 16, e0250059. [Google Scholar] [CrossRef] [PubMed]
  378. Vittor, A.Y.; Gilman, R.H.; Tielsch, J.; Glass, G.; Shields, T.; Lozano, W.S.; Pinedo-Cancino, V.; Patz, J.A. The Effect of Deforestation on the Human-Biting Rate of Anopheles darlingi, the Primary Vector of Falciparum Malaria in the Peruvian Amazon. Am. J. Trop. Med. Hyg. 2006, 74, 3–11. [Google Scholar] [CrossRef] [Green Version]
  379. Chapin, G.; Wasserstrom, R. Agricultural Production and Malaria Resurgence in Central America and India. Nature 1981, 293, 181–185. [Google Scholar] [CrossRef] [PubMed]
  380. Dusfour, I.; Achee, N.L.; Briceno, I.; King, R.; Grieco, J.P. Comparative Data on the Insecticide Resistance of Anopheles albimanus in Relation to Agricultural Practices in Northern Belize, CA. J. Pest Sci. 2010, 83, 41–46. [Google Scholar] [CrossRef]
  381. Grieco, J.P.; Johnson, S.; Achee, N.L.; Masuoka, P.; Pope, K.; Rejmánková, E.; Vanzie, E.; Andre, R.; Roberts, D. Distribution of Anopheles albimanus, Anopheles vestitipennis, and Anopheles crucians Associated with Land Use in Northern Belize. J. Entomol. 2006, 43, 614–622. [Google Scholar] [CrossRef]
  382. Hakre, S.; Masuoka, P.; Vanzie, E.; Roberts, D.R. Spatial Correlations of Mapped Malaria Rates with Environmental Factors in Belize, Central America. Int. J. Health Geogr. 2004, 3, 1–12. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  383. Grieco, J.P.; Vogtsberger, R.C.; Achee, N.L.; Vanzie, E.; Andre, R.G.; Roberts, D.R.; Rejmankova, E. Evaluation of Habitat Management Strategies for the Reduction of Malaria Vectors in Northern Belize. J. Vector Ecol. J. Soc. Vector Ecol. 2005, 30, 235–243. [Google Scholar]
  384. Chaves, L.S.M.; Bergo, E.S.; Conn, J.E.; Laporta, G.Z.; Prist, P.R.; Sallum, M.A.M. Anthropogenic Landscape Decreases Mosquito Biodiversity and Drives Malaria Vector Proliferation in the Amazon Rainforest. PLoS ONE 2021, 16, e0245087. [Google Scholar] [CrossRef] [PubMed]
  385. Sinka, M.E.; Pironon, S.; Massey, N.C.; Longbottom, J.; Hemingway, J.; Moyes, C.L.; Willis, K.J. A New Malaria Vector in Africa: Predicting the Expansion Range of Anopheles stephensi and Identifying the Urban Populations at Risk. Proc. Natl. Acad. Sci. USA 2020, 117, 24900–24908. [Google Scholar] [CrossRef]
  386. WHO (World Health Organization). Vector Alert: Anopheles stephensi Invasion and Spread. Available online: https://www.who.int/publications/i/item/WHO-HTM-GMP-2019.09 (accessed on 5 October 2021).
  387. Seyfarth, M.; Khaireh, B.A.; Abdi, A.A.; Bouh, S.M.; Faulde, M.K. Five Years Following First Detection of Anopheles stephensi (Diptera: Culicidae) in Djibouti, Horn of Africa: Populations Established—Malaria Emerging. Parasitol. Res. 2019, 118, 725–732. [Google Scholar] [CrossRef] [PubMed]
  388. Cáceres, L.; Rovira, J.; Torres, R.; García, A.; Calzada, J.; Cruz, M.D. La Characterization of Plasmodium vivax Malaria Transmission at the Border of Panamá and Costa Rica. Biomédica 2012, 32, 557–569. [Google Scholar] [CrossRef] [Green Version]
  389. Surendran, S.N.; Sivabalakrishnan, K.; Sivasingham, A.; Jayadas, T.T.P.; Karvannan, K.; Santhirasegaram, S.; Gajapathy, K.; Senthilnanthanan, M.; Karunaratne, S.P.; Ramasamy, R. Anthropogenic Factors Driving Recent Range Expansion of the Malaria Vector Anopheles stephensi. Front. Public Health 2019, 7, 53. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  390. Fontecha, G.; Pinto, A.; Archaga, O.; Betancourt, S.; Escober, L.; Henríquez, J.; Valdivia, H.; Montoya, A.; Mejía, R. Assessment of Plasmodium falciparum Antimalarial Drug Resistance Markers in Pfcrt and Pfmdr1 Genes in Isolates from Honduras and Nicaragua, 2018–2021. Malar. J. 2021. under review. [Google Scholar] [CrossRef]
  391. Barbour, A.G.; Fish, D. The Biological and Social Phenomenon of Lyme Disease. Science 1993, 260, 1610–1616. [Google Scholar] [CrossRef] [Green Version]
  392. Ogrzewalska, M.; Uezu, A.; Jenkins, C.N.; Labruna, M.B. Effect of Forest Fragmentation on Tick Infestations of Birds and Tick Infection Rates by Rickettsia in the Atlantic Forest of Brazil. EcoHealth 2011, 8, 320–331. [Google Scholar] [CrossRef]
  393. Wood, C.L.; Lafferty, K.D. Biodiversity and Disease: A Synthesis of Ecological Perspectives on Lyme Disease Transmission. Trends Ecol. Evol. 2013, 28, 239–247. [Google Scholar] [CrossRef] [PubMed]
  394. MacDonald, A.J. Abiotic and Habitat Drivers of Tick Vector Abundance, Diversity, Phenology and Human Encounter Risk in Southern California. PLoS ONE 2018, 13, e0201665. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  395. Diuk-Wasser, M.A.; VanAcker, M.C.; Fernandez, M.P. Impact of Land Use Changes and Habitat Fragmentation on the Eco-Epidemiology of Tick-Borne Diseases. J. Med. Entomol. 2021, 58, 1546–1564. [Google Scholar] [CrossRef] [PubMed]
  396. Mendoza, H.; Rubio, A.V.; García-Peña, G.E.; Suzán, G.; Simonetti, J.A. Does Land-Use Change Increase the Abundance of Zoonotic Reservoirs? Rodents Say Yes. Eur. J. Wildl. Res. 2020, 66, 1–5. [Google Scholar] [CrossRef]
  397. Keesing, F.; Ostfeld, R.S. Impacts of Biodiversity and Biodiversity Loss on Zoonotic Diseases. Proc. Natl. Acad. Sci. USA 2021, 118, e2023540118. [Google Scholar] [CrossRef]
  398. Montenegro, D.C.; Bitencourth, K.; de Oliveira, S.v.; Borsoi, A.P.; Cardoso, K.M.; Sousa, M.S.B.; Giordano-Dias, C.; Amorim, M.; Serra-Freire, N.M.; Gazêta, G.S.; et al. Spotted Fever: Epidemiology and Vector-Rickettsia-Host Relationship in Rio de Janeiro State. Front. Microbiol. 2017, 8, 505. [Google Scholar] [CrossRef] [Green Version]
  399. Toepp, A.J.; Willardson, K.; Larson, M.; Scott, B.D.; Johannes, A.; Senesac, R.; Petersen, C.A. Frequent Exposure to Many Hunting Dogs Significantly Increases Tick Exposure. Vector Borne Zoonotic Dis. 2018, 18, 519–523. [Google Scholar] [CrossRef] [PubMed]
  400. Ellwanger, J.H.; Chies, J.A.B. The Triad “Dogs, Conservation and Zoonotic Diseases”—An Old and Still Neglected Problem in Brazil. Perspect. Ecol. Conserv. 2019, 17, 157–161. [Google Scholar] [CrossRef] [PubMed]
  401. Lönker, N.S.; Fechner, K.; Wahed, A.A. el Horses as a Crucial Part of One Health. Vet. Sci. 2020, 7, 28. [Google Scholar] [CrossRef] [Green Version]
  402. Álvarez, V.; Bonilla, R. Adultos y Ninfas de La Garrapata Amblyomma cajennense Fabricius (Acari: Ixodidae) En Equinos y Bovinos. Agron. Costarric. 2007, 31, 61–69. [Google Scholar]
  403. Szabó, M.P.J.; Pinter, A.; Labruna, M.B. Ecology, Biology and Distribution of Spotted-Fever Tick Vectors in Brazil. Front. Cell. Infect. Microbiol. 2013, 3, 27. [Google Scholar] [CrossRef] [Green Version]
  404. Bermúdez, S.E.; Castro, A.M.; Trejos, D.; García, G.G.; Gabster, A.; Miranda, R.J.; Zaldívar, Y.; Paternina, L.E. Distribution of Spotted Fever Group Rickettsiae in Hard Ticks (Ixodida: Ixodidae) from Panamanian Urban and Rural Environments (2007–2013). EcoHealth 2016, 13, 274–284. [Google Scholar] [CrossRef]
  405. Ferrell, A.M.; Brinkerhoff, R.J.; Bernal, J.; Bermúdez, S.E. Ticks and Tick-Borne Pathogens of Dogs along an Elevational and Land-Use Gradient in Chiriquí Province, Panamá. Exp. Appl. Acarol. 2017, 71, 371–385. [Google Scholar] [CrossRef]
  406. Clarke-Crespo, E.; Moreno-Arzate, C.N.; López-González, C.A. Ecological Niche Models of Four Hard Tick Genera (Ixodidae) in Mexico. Animals 2020, 10, 649. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  407. Álvarez-Calderon, V.; Hernández-Fonseca, V.; Hernández-Gamboa, J. Catálogo de Garrapatas Suaves (Acari: Argasidae) y Duras (Acari: Ixodidae) de Costa Rica. Brenesia 2005, 63–64, 81–88. [Google Scholar]
  408. Bermúdez, C.S.E.; Zaldívar, A.Y.; Spolidorio, M.G.; Moraes-Filho, J.; Miranda, R.J.; Caballero, C.M.; Mendoza, Y.; Labruna, M.B. Rickettsial Infection in Domestic Mammals and Their Ectoparasites in El Valle de Antón, Coclé, Panamá. Vet. Parasitol. 2011, 177, 134–138. [Google Scholar] [CrossRef] [PubMed]
  409. Ogrzewalska, M.; Literák, I.; Capek, M.; Sychra, O.; Calderón, V.Á.; Rodríguez, B.C.; Prudencio, C.; Martins, T.F.; Labruna, M.B. Bacteria of the Genus Rickettsia in Ticks (Acari: Ixodidae) Collected from Birds in Costa Rica. Ticks Tick-Borne Dis. 2015, 6, 478–482. [Google Scholar] [CrossRef] [PubMed]
  410. Novakova, M.; Literak, I.; Chevez, L.; Martins, T.F.; Ogrzewalska, M.; Labruna, M.B. Rickettsial Infections in Ticks from Reptiles, Birds and Humans in Honduras. Ticks Tick-Borne Dis. 2015, 6, 737–742. [Google Scholar] [CrossRef]
  411. Troyo, A.; Moreira-Soto, R.D.; Calderon-Arguedas, Ó.; Mata-Somarribas, C.; Ortiz-Tello, J.; Barbieri, A.R.M.; Avendaño, A.; Vargas-Castro, L.E.; Labruna, M.B.; Hun, L.; et al. Detection of Rickettsiae in Fleas and Ticks from Areas of Costa Rica with History of Spotted Fever Group Rickettsioses. Ticks Tick-Borne Dis. 2016, 7, 1128–1134. [Google Scholar] [CrossRef] [Green Version]
  412. Lopes, M.G.; Junior, J.M.; Foster, R.J.; Harmsen, B.J.; Sanchez, E.; Martins, T.F.; Quigley, H.; Marcili, A.; Labruna, M.B. Ticks and Rickettsiae from Wildlife in Belize, Central America. Parasites Vectors 2016, 9, 1–7. [Google Scholar] [CrossRef] [Green Version]
  413. Polsomboon, S.; Hoel, D.F.; Murphy, J.R.; Linton, Y.-M.; Motoki, M.; Robbins, R.G.; Bautista, K.; Briceño, I.; Achee, N.L.; Grieco, J.P.; et al. Molecular Detection and Identification of Rickettsia Species in Ticks (Acari: Ixodidae) Collected from Belize, Central America. J. Med. Entomol. 2017, 54, 1718–1726. [Google Scholar] [CrossRef]
  414. Domínguez, L.; Miranda, R.J.; Torres, S.; Moreno, R.; Ortega, J.; Bermúdez, S.E. Hard Tick (Acari: Ixodidae) Survey of Oleoducto Trail, Soberania National Park, Panama. Ticks Tick-Borne Dis. 2019, 10, 830–837. [Google Scholar] [CrossRef]
  415. Esser, H.J.; Herre, E.A.; Kays, R.; Liefting, Y.; Jansen, P.A. Local Host-Tick Coextinction in Neotropical Forest Fragments. Int. J. Parasitol. 2019, 49, 225–233. [Google Scholar] [CrossRef]
  416. Esser, H.J.; Herre, E.A.; Blüthgen, N.; Loaiza, J.R.; Bermúdez, S.E.; Jansen, P.A. Host Specificity in a Diverse Neotropical Tick Community: An Assessment Using Quantitative Network Analysis and Host Phylogeny. Parasites Vectors 2016, 9, 1–14. [Google Scholar] [CrossRef] [Green Version]
  417. Alvarez, V.; Bonilla, R.; Chacón, I. Frecuencia Relativa de Boophilus microplus (Acari: Ixodidae) En Bovinos (Bos taurus y B. indicus) En Ocho Zonas Ecológicas de Costa Rica. Rev. Biol. Trop. 2003, 51, 427–434. [Google Scholar]
  418. Alvarez, C.; Bonilla, R.; Chacón, I. Distribución de La Garrapata Amblyomma cajennense (Acari: Ixodidae) Sobre Bos Taurus y Bos indicus En Costa Rica. Rev. Biol. Trop. 2000, 48, 129–135. [Google Scholar]
  419. Düttmann, C.; Flores, B.; Kadoch, Z.N.; Bermúdez, C.S. Hard Ticks (Acari: Ixodidae) of Livestock in Nicaragua, with Notes about Distribution. Exp. Appl. Acarol. 2016, 70, 125–135. [Google Scholar] [CrossRef] [PubMed]
  420. Bermúdez, C.S.E.; Castro, A.; Esser, H.; Liefting, Y.; García, G.; Miranda, R.J. Ticks (Ixodida) on Humans from Central Panama, Panama (2010–2011). Exp. Appl. Acarol. 2012, 58, 81–88. [Google Scholar] [CrossRef] [PubMed]
  421. de Rodaniche, E.C. Natural Infection of the Tick, Amblyomma cajennense, with Rickettsia rickettsii in Panama. Am. J. Trop. Med. Hyg. 1953, 2, 696–699. [Google Scholar] [CrossRef] [PubMed]
  422. Nieri-Bastos, F.A.; Marcili, A.; de Sousa, R.; Paddock, C.D.; Labruna, M.B. Phylogenetic Evidence for the Existence of Multiple Strains of Rickettsia parkeri in the New World. Appl. Environ. Microbiol. 2018, 84. [Google Scholar] [CrossRef] [Green Version]
  423. Carreno, R.; Durden, L.A.; Brooks, D.R.; Abrams, A.; Hoberg, E.P. Parelaphostrongylus tenuis (Nematoda: Protostrongylidae) and Other Parasites of White-Tailed Deer (Odocoileus virginianus) in Costa Rica. Comp. Parasitol. 2001, 68, 177–184. [Google Scholar]
  424. Álvarez-Robles, E.; Fuentes-Rousselin, H.; Meoño-Sánchez, E.; Recinos-Donis, R.; Figueroa, L.; Guerra-Centeno, D. Preliminary Study of External Parasites of White-Tailed Deer (Odocoileus virginianus) from the Natural Reserve of the Parachute Brigade, San José, Escuintla Guatemala. Rev. Elect. Vet. 2018, 19, 1–11. [Google Scholar]
  425. Bermúdez, S.; Miranda, R. Distribución de Los Ectoparásitos de Canis lupus familiaris L. (Carnivora: Canidae) de Panamá. Rev. MVZ Córdoba 2011, 16, 2274–2282. [Google Scholar] [CrossRef] [Green Version]
  426. Troyo, A.; Calderón-Arguedas, Ó.; Alvarado, G.; Vargas-Castro, L.E.; Avendaño, A. Ectoparasites of Dogs in Home Environments on the Caribbean Slope of Costa Rica. Rev. Bras. Parasitol. Vet. 2012, 21, 179–183. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  427. Nava, S.; Estrada-Peña, A.; Petney, T.; Beati, L.; Labruna, M.B.; Szabó, M.P.J.; Venzal, J.M.; Mastropaolo, M.; Mangold, A.J.; Guglielmone, A.A. The Taxonomic Status of Rhipicephalus sanguineus (Latreille, 1806). Vet. Parasitol. 2015, 208, 2–8. [Google Scholar] [CrossRef] [PubMed]
  428. Álvarez-Hernández, G.; Roldán, J.F.G.; Milan, N.S.H.; Lash, R.R.; Behravesh, C.B.; Paddock, C.D. Rocky Mountain Spotted Fever in Mexico: Past, Present, and Future. Lancet Infect. Dis. 2017, 17, e189–e196. [Google Scholar] [CrossRef]
  429. Campos, S.D.E.; da Cunha, N.C.; Machado, C.d.S.C.; Telleria, E.L.; Cordeiro, M.D.; da Fonseca, A.H.; Toma, H.K.; dos Santos, J.P.C.; Almosny, N.R.P. Rickettsial Pathogens Circulating in Urban Districts of Rio de Janeiro, without Report of Human Brazilian Spotted Fever. Rev. Bras. Parasitol. Vet. 2020, 29, 1–10. [Google Scholar] [CrossRef]
  430. Hun, L.; Herrero, L.; Fuentes, L.; Vargas, M. Tres Nuevos Casos de Fiebre Manchada de Las Montañas Rocosas En Costa Rica. Rev. Costarric. Cienc. Med. 1991, 12, 51–56. [Google Scholar]
  431. Murgas, I.L.; Castro, A.M.; Bermúdez, S.E. Current Status of Amblyomma ovale (Acari: Ixodidae) in Panama. Ticks Tick-Borne Dis. 2013, 4, 164–166. [Google Scholar] [CrossRef] [PubMed]
  432. Barbieri, A.R.M.; Filho, J.M.; Nieri-Bastos, F.A.; Souza, J.C.; Szabó, M.P.J.; Labruna, M.B. Epidemiology of Rickettsia sp. Strain Atlantic Rainforest in a Spotted Fever-Endemic Area of Southern Brazil. Ticks Tick-Borne Dis. 2014, 5, 848–853. [Google Scholar] [CrossRef]
  433. Londoño, A.F.; Díaz, F.J.; Valbuena, G.; Gazi, M.; Labruna, M.B.; Hidalgo, M.; Mattar, S.; Contreras, V.; Rodas, J.D. Infection of Amblyomma ovale by Rickettsia sp. Strain Atlantic Rainforest, Colombia. Ticks Tick-Borne Dis. 2014, 5, 672–675. [Google Scholar] [CrossRef]
  434. Lamattina, D.; Tarragona, E.L.; Nava, S. Molecular Detection of the Human Pathogen Rickettsia parkeri Strain Atlantic Rainforest in Amblyomma ovale Ticks in Argentina. Ticks Tick-Borne Dis. 2018, 9, 1261–1263. [Google Scholar] [CrossRef] [PubMed]
  435. Vargas, V.M. Occurrence of the Bat Tick Ornithodoros (Alectorobius) kelleyi Cooley & Kohls (Acari: Argasidae) in Costa Rica and Its Relation to Human Bites. Rev. Biol. Trop. 1984, 32, 103–107. [Google Scholar]
  436. Rangel, G.; Bermúdez, C.S.E. Nota Sobre Un Caso de Parasitismo de Ornithodoros sp. (Ixodida: Argasidae) En Una Mujer Proveniente de La Laja, Los Santos, Panamá. Rev. Méd. Panamá 2013, 37–39. [Google Scholar] [CrossRef]
  437. Bermúdez, S.E.; Castillo, E.; Pohlenz, T.D.; Kneubehl, A.; Krishnavajhala, A.; Domínguez, L.; Suárez, A.; López, J.E. New Records of Ornithodoros puertoricensis Fox 1947 (Ixodida: Argasidae) Parasitizing Humans in Rural and Urban Dwellings, Panama. Ticks Tick-Borne Dis. 2017, 8, 466–469. [Google Scholar] [CrossRef] [PubMed]
  438. Uspensky, I.V. Blood-Sucking Ticks (Acarina, Ixodoidea) as an Essential Component of the Urban Environment. Entomol. Rev. 2017, 97, 941–969. [Google Scholar] [CrossRef]
  439. Montenegro, V.M.; Bonilla, M.C.; Kaminsky, D.; Romero-Zúñiga, J.J.; Siebert, S.; Krämer, F. Serological Detection of Antibodies to Anaplasma spp., Borrelia burgdorferi Sensu Lato and Ehrlichia canis and of Dirofilaria immitis Antigen in Dogs from Costa Rica. Vet. Parasitol. 2017, 236, 97–107. [Google Scholar] [CrossRef]
  440. Sergio E. Bermúdez, C.; Lady Mejía, B.; Ligia Hernández; Dmitry, A. First Records of Ixodes boliviensis Neumann, 1904 and Dermacentor dissimilis Cooley, 1947 (Ixodida: Ixodidae) as Parasites of Domestic Mammals in Nicaragua. Syst. Appl. Acarol. 2015, 20, 462–464. [Google Scholar] [CrossRef] [Green Version]
  441. Foley, J.E.; Nieto, N.C.; Foley, P. Emergence of Tick-Borne Granulocytic Anaplasmosis Associated with Habitat Type and Forest Change in Northern California. Am. J. Trop. Med. Hyg. 2009, 81, 1132–1140. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  442. Millins, C.; Gilbert, L.; Medlock, J.; Hansford, K.; Thompson, D.B.; Biek, R. Effects of Conservation Management of Landscapes and Vertebrate Communities on Lyme Borreliosis Risk in the United Kingdom. Philos. Trans. R. Soc. B Biol. Sci. 2017, 372. [Google Scholar] [CrossRef] [Green Version]
  443. Rogers, D.J.; Randolph, S.E. Climate Change and Vector-Borne Diseases. Adv. Parasitol. 2006, 62, 345–381. [Google Scholar] [CrossRef]
  444. Paaijmans, K.P.; Read, A.F.; Thomas, M.B. Understanding the Link between Malaria Risk and Climate. Proc. Natl. Acad. Sci. USA 2009, 106, 13844–13849. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  445. Proestos, Y.; Christophides, G.K.; Ergüler, K.; Tanarhte, M.; Waldock, J.; Lelieveld, J. Present and Future Projections of Habitat Suitability of the Asian Tiger Mosquito, a Vector of Viral Pathogens, from Global Climate Simulation. Philos. Trans. R. Soc. B Biol. Sci. 2015, 370, 1–16. [Google Scholar] [CrossRef] [Green Version]
  446. Lafferty, K.D.; Mordecai, E.A. The Rise and Fall of Infectious Disease in a Warmer World. F1000Research 2016, 5, 2040. [Google Scholar] [CrossRef] [PubMed]
  447. Mackenzie, J.S.; Gubler, D.J.; Petersen, L.R. Emerging Flaviviruses: The Spread and Resurgence of Japanese Encephalitis, West Nile and Dengue Viruses. Nat. Med. 2004, 10, S98–S109. [Google Scholar] [CrossRef] [PubMed]
  448. Wilder-Smith, A.; Gubler, D.J. Geographic Expansion of Dengue: The Impact of International Travel. Med. Clin. N. Am. 2008, 92, 1377–1390. [Google Scholar] [CrossRef]
  449. Bennett, S.N. Evolutionary Dynamics of Dengue Virus. In Frontiers in Dengue Virus Research; Hanley, K.A., Weaver, S.C., Eds.; Caister Academic Press: Poole, UK, 2010; pp. 157–172. [Google Scholar]
  450. Musso, D.; Cao-Lormeau, V.M.; Gubler, D.J. Zika Virus: Following the Path of Dengue and Chikungunya? Lancet 2015, 386, 243–244. [Google Scholar] [CrossRef]
  451. Morrow, M.G.; Johnson, R.N.; Polanco, J.; Claborn, D.M. Mosquito Vector Abundance Immediately before and after Tropical Storms Alma and Arthur, Northern Belize, 2008. Rev. Panam. Salud Pública 2010, 28, 19–24. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  452. Colón-González, F.J.; Sewe, M.O.; Tompkins, A.M.; Sjödin, H.; Casallas, A.; Rocklöv, J.; Caminade, C.; Lowe, R. Projecting the Risk of Mosquito-Borne Diseases in a Warmer and More Populated World: A Multi-Model, Multi-Scenario Intercomparison Modelling Study. Lancet Planet Health 2021, 5, e404–e414. [Google Scholar] [CrossRef]
  453. Ogden, N.H.; Lindsay, L.R. Effects of Climate and Climate Change on Vectors and Vector-Borne Diseases: Ticks Are Different. Trends Parasito. 2016, 32, 646–656. [Google Scholar] [CrossRef]
  454. UNHCR (United Nations High Commissioner for Refugees). Protection and Solutions Strategy for the Northern Triangle of Central America 2016–2018; United Nations: Geneva, Switzerland, 2015. [Google Scholar]
  455. FAO (Food and Agricultural Organization). Chronology of the Dry Corridor: The Impetus for Resilience in Central America. Agronoticias: Agriculture News from Latin America and the Caribbean. Available online: http://www.fao.org/in-action/agronoticias/detail/en/c/1024539/ (accessed on 21 September 2021).
Table 1. Current proportions of forest area, agricultural land, and urban population in Central America, including changes over the last 30 years.
Table 1. Current proportions of forest area, agricultural land, and urban population in Central America, including changes over the last 30 years.
Country a Total Country Area
(sq. km.)
b Forest Area, % of Land Area
(2018)
c Change in Forest Area, % of Land Area
(1990–2018)
d Agricultural Land, % of Land Area (2018) e Change in Agricultural Land, % of Land Area
(1990–2018)
f Urban Population % (2020)g Change in Urban Population % (1990–2020)
Belize 22,81057−13.27.5+246−1.44
Costa Rica 51,06058.8+1.934.9−8.180.8+30.8
El Salvador 20,72028.6−6.171.4+6.273.4+24.2
Guatemala 107,16033.1−11.536−451.8+9.8
Honduras111,89057.2−5.230+0.358.4+17.9
Nicaragua 120,34030−23.242.1+8.659+5.9
Panama 74,17757.1−4.930.5+1.968.4+14.5
a Data source: The World Bank https://data.worldbank.org/indicator/AG.LND.TOTL.K2?view=map (accessed on 18 August 2021). b Data source: The World Bank https://data.worldbank.org/indicator/AG.LND.FRST.ZS?view=map (accessed on 18 August 2021). c Data source: The World Bank. Value calculated by determining the difference in forest area (% of land) between 1990 and 2018 per country https://data.worldbank.org/indicator/AG.LND.FRST.ZS?view=map (accessed on 18 August 2021). d Data source: The World Bank https://data.worldbank.org/indicator/AG.LND.AGRI.ZS?view=map (accessed on 18 August 2021). e Data source: The World Bank. Value calculated by determining the difference in agricultural land area (% of land) between 1990 and 2018 per country https://data.worldbank.org/indicator/AG.LND.AGRI.ZS?view=map (accessed on 18 August 2021). f Data source: The World Bank https://data.worldbank.org/indicator/SP.URB.TOTL.IN.ZS?view=map (accessed on 18 August 2021). g Data source: The World Bank. https://data.worldbank.org/indicator/SP.URB.TOTL.IN.ZS?view=map. Value calculated by determining the difference in urban population % between 1990 and 2020 per country (accessed on 18 August 2021).
Table 2. Description of the most important mosquito-borne and tick-borne diseases in Central America.
Table 2. Description of the most important mosquito-borne and tick-borne diseases in Central America.
DiseaseCausative AgentsDistribution of Infections in HumansConfirmed or Suspected Mosquitoes and/or Tick VectorsConfirmed or Suspected Non-Human Vertebrate Hosts
West Nile feverWest Nile virus (Flavivirus)Clinical, serosurveys (CR, N)Culex quinquefasciatus,
Cx. mollis/Cx. inflictus (G)
Equines, non-human primates, wild birds, sentinel chickens (CR, B, ES, G)
Saint Louis encephalitisSaint Louis encephalitis virus (Flavivirus)Clinical, serosurveys (P, B, G, H)Sabethes chloropterus, Trichoposopon spp., Wyeomyia spp., Haemagogus lucifer, Deinocerites pseudes, Mansonia dyari, Culex nigripalpus
(P, CR, G)
Wild rodents, wild birds, sentinel rodents, sentinel chickens, non-human primates, sloths, equines, pigs (P, CR, B, H, G)
Venezuelan equine encephalitisVenezuelan equine encephalitis virus (Alphavirus)Clinical, serosurveys (all countries)Psorophora confinnis, Culex nigripalpus, * Cx. (Melanoconion) taeniopus, other Cx. (Melanoconion) spp., Mansonia titillans, Ps. cilipes, Aedes taeniorhynchus, and Deinocerites pseudes (P, CR, B, G) Equines, wild rodent, opossum, birds, and bats (CR, N, H, ES, G)
Eastern equine encephalitisMadariaga virus (Alphavirus)Clinical, serosurveys (P)Culex (Mel.) taeniopus (P)Horses, bats, wild lizards, wild birds (P, CR, B)
Yellow fever Yellow fever virus (Flavivirus)Clinical (all countries)Aedes aegypti, Haemagogus janthinomys, Hg. leucocelaenus, Hg. lucifer, Hg. equinus, Hg. spegazzinii, and Sa. chloropterus, Hg. mesodentatus (P, CR, N, G)Non-human primates, marsupials
(P, CR, N, B, H, G)
Zika fever Zika virus (Flavivirus)Clinical and serological (all countries)** Aedes aegypti, Ae. albopictus
(all countries)
Unknown
Chikungunya fever Chikungunya virus (Alphavirus)Clinical and serological (all countries)** Aedes aegypti, Ae. albopictus
(all countries)
Unknown
Dengue fever Dengue viruses 1–4 (Flavivirus)Clinical and serological (all countries)** Aedes aegypti, Ae. albopictus (suspected) (all countries)Bats, non-human primates (CR)
Mayaro feverMayaro virus (Alphavirus)Clinical and serological
(P, CR, G)
Haemagogus janthinomys,
Psorophora ferox, Culex (Mel.) vomerifer (P)
Non-human primates
(P, CR, H, G)
Malaria Plasmodium vivax,
P. falciparum
Clinical and serological (all countries)* Anopheles albimanus, An. darlingi, An. punctimacula, other Anopheles spp. (all countries)Unknown
P. malariaeClinical and serological
(P, CR, B, ES, G)
UnknownUnknown
RickettsiosisRickettsia spp. (species causing spotted fevers was not identified)Clinical, serosurveys (all countries)Amblyomma mixtum (G)Wild rabbits, dogs, coyote
(P, CR)
R. rickettsii (Rocky Mountain spotted fever)Clinical (P, CR) * A. mixtum, Rhipicephalus sanguineus s.l., A. varium, Dermacentor nitens, Haemaphysalis leporispalustris (P, CR)Dog, horse (P, CR)
R. akari (rickettsialpox) Serosurvey (CR)UnknownUnknown
R. parkeriUnknown * A. maculatum (B)Unknown
R. parkeri strain Atlantic ForestUnknown * A. ovale (B)Unknown
R. africaeUnknown A. ovale (N)Unknown
EhrlichiosisEhrlichia chaffeensis (monocytic ehrlichiosis) Clinical (CR)Amblyoma mixtum, Amblyomma sp., Dermacentor nitens, Rhipicephalus microplus (P)Unknown
E. ewingii (monocytic ehrlichiosis)Unknown R. microplus (P)Unknown
E. canis (granulocytic ehrlichiosis)Clinical (P, CR)** R. sanguineus s.l. (all countries)Dogs (all countries)
AnaplasmosisAnaplasma phagocytophilum (human granulocytic anaplasmosis)Unknown Rhipicephalus sanguineus s.l., R. microplus (P, CR)Dogs, bovines, equines, deer (CR, N, G)
BorreliosisBorrelia burgdorferi s.l. (Lyme disease) Clinical (CR) Ixodes c.f. boliviensis (P)Dogs (CR)
Borrelia sp. (tick-borne relapsing fever) Clinical (P, G)Ornithodoros talaje, O. rudis (P)Armadillos, opossums (P)
* Main vector. ** Suspected vectors; pathogen has not been detected/isolated in all countries from these vectors, but they are present and considered the main vectors worldwide. Country abbreviation (Belize = B; Costa Rica = CR; El Salvador = ES; Guatemala = G; Honduras = H; Nicaragua = N; Panama =P).
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Ortiz, D.I.; Piche-Ovares, M.; Romero-Vega, L.M.; Wagman, J.; Troyo, A. The Impact of Deforestation, Urbanization, and Changing Land Use Patterns on the Ecology of Mosquito and Tick-Borne Diseases in Central America. Insects 2022, 13, 20. https://doi.org/10.3390/insects13010020

AMA Style

Ortiz DI, Piche-Ovares M, Romero-Vega LM, Wagman J, Troyo A. The Impact of Deforestation, Urbanization, and Changing Land Use Patterns on the Ecology of Mosquito and Tick-Borne Diseases in Central America. Insects. 2022; 13(1):20. https://doi.org/10.3390/insects13010020

Chicago/Turabian Style

Ortiz, Diana I., Marta Piche-Ovares, Luis M. Romero-Vega, Joseph Wagman, and Adriana Troyo. 2022. "The Impact of Deforestation, Urbanization, and Changing Land Use Patterns on the Ecology of Mosquito and Tick-Borne Diseases in Central America" Insects 13, no. 1: 20. https://doi.org/10.3390/insects13010020

APA Style

Ortiz, D. I., Piche-Ovares, M., Romero-Vega, L. M., Wagman, J., & Troyo, A. (2022). The Impact of Deforestation, Urbanization, and Changing Land Use Patterns on the Ecology of Mosquito and Tick-Borne Diseases in Central America. Insects, 13(1), 20. https://doi.org/10.3390/insects13010020

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop