Next Article in Journal
Child Disruptions, Remote Learning, and Parent Mental Health during the COVID-19 Pandemic
Next Article in Special Issue
Development of Core Educational Content for Heart Failure Patients in Transition from Hospital to Home Care: A Delphi Study
Previous Article in Journal
Spatial Differences and Influential Factors of Urban Carbon Emissions in China under the Target of Carbon Neutrality
Previous Article in Special Issue
Differences in the Incidence of Adverse Events in Acute Care Hospitals: Results of a Multicentre Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Visualizing the Knowledge Domain in Health Education: A Scientometric Analysis Based on CiteSpace

1
Department of Physical Education, Henan University of Science and Technology, Luoyang 471023, China
2
School of Sport and Exercise Science, University of Ulsan, 93 Daehak-ro, Nam-gu, Ulsan 44610, Korea
3
School of Physical Education (Main Campus), Zhengzhou University, Zhengzhou 450001, China
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(11), 6440; https://doi.org/10.3390/ijerph19116440
Submission received: 11 April 2022 / Revised: 15 May 2022 / Accepted: 22 May 2022 / Published: 25 May 2022
(This article belongs to the Special Issue Diagnosis and Advances in Research on Human Behavior)

Abstract

:
Objectives: This study aimed to visualize the evidence in the global research on health education to better improve the nation’s health literacy and to guide future research. Method: We searched the Web of Science (Core Collection) electronic databases. The search strategies: topic: (“Health Education” OR “Education, Health” OR “Community Health Education” OR “Education, Community Health” OR “Health Education, Community”) AND document: (Article) AND language:(English). Articles of evidence from January 2011 to December 2021 with those words in the title or abstract or keywords will be included in this review. We used the Citespace 5.6.R5 (64-bit) to investigate and determine the thematic patterns, and emerging trends of the knowledge domain, and presented a narrative account of the findings. Result: We analyzed 10,273 eligible articles. It showed that BMC Public Health displays the most prolific journals. Author MARCO PAHOR is highlighted in health education. The University of Sydney has published the most studies about health education. The USA plays an important role in these studies. Specifically, the visualization shows several hotspots: disease prevalence surveys and a specific population of knowledge, attitude and practice surveys, health intervention, chronic and non-communicable management, youth-health action, sexual and reproductive health, and physical activity promotion. Furthermore, document co-citation analysis indicated that there are 10 main clusters, which means the research front in health education. Meanwhile, by the citation detected, COVID-19, has achieved universal health coverage in related studies, however, public health education and the health workforce might be more popular in the coming years. Conclusion: Health education is an effective measure to shift the concept of public health and improve healthy living standards. The present study facilitates an extensive understanding of the basic knowledge and research frontiers that are pivotal for the developmental process of health education and allows scholars to visualize the identification modes and tendencies.

1. Introduction

The World Health Organization (WHO) guideline [1] stated: “A prime purpose of health education (HE) is to assist people in improving health status by acquiring more information, affecting motive, and uplifting health literacy (HL).” It means that the purpose of HE is to solve our own health problems effectively. From an individual’s perspective, HE can help people acquire new modern health concepts, develop positive and healthy behaviors, motivate them to decide on a healthy lifestyle, enhance self-protection awareness, promote communicable disease prevention, and support chronic non-communicable disease management. From a social perspective, HE is an effective measure for alleviating the strain on medical. It helps people to acquire health-related knowledge and skills, meet people’s growing demand for mental health services, and assists in curbing increasing medical costs.
However, we must be faced with the truth that in most schools, HE-related areas of knowledge account collectively for little more than 5% of children’s total school experience. Over-practical or over-preventative measures seem to have done little in enhancing the quality of the public’s understanding or their engagement with practitioners [2]. Moreover, a lack of training for both trainers and health professionals in the educational aspects of health improvement schemes has led to many schools having too few staff who are competent in this area [3]. Although the Health People 2020 prospect and Sustainable Development Goals 2030 have raised new hopes for a world free of poverty and poor health, the HE problem is not new, however, it remains to be acted on. To reverse this unfavorable situation, levels of HL need to be raised throughout the world, especially in developing countries. With the COVID-19 effects on societies and economies, we have witnessed the greatest global health challenge in a generation [4]. Many countries have had the best responses to the COVID-19 pandemic and achieved good goals. However, HE, especially healthcare management education is nascent or non-existent in many countries, which lead to some failures concerning COVID-19 to some extent, cities were near paralyzed, and citizens were disappointed. Unfortunately, this has been further exacerbated by serious errors in practice, and significantly, spurious media reports, which made it more and more difficult to persuade people to alter their lifestyle or avoid known trigger factors for the disease. It could be proved that improvements in the standards of HL over the past decade have been unsatisfactory [2]. Studies of scientific literature demonstrate a well-established correlation between HL and HE [5] so HE has received widespread attention as a focus of research again. It provides us an opportunity to go back and grasp its research dynamics, think about the roles of public health and HE, and lay the foundations for subsequent innovative research. Although some scholars have reviewed and evaluated the potential benefits of HE from different perspectives, most of them are based on a qualitative review of direct control of the literature, and there is a large degree of subjectivity in the selection and classification criteria, and hotspots.
Therefore, this study analyzes the existing HE research based on the Web of Science (Core Collection) database. The primary purpose is to map the knowledge domain of HE research, investigate collaborations related to HE, reveal thematic patterns and hotspots, and explore the research frontiers. Meanwhile, to assist professionals, we also hope to quantify the pathways to find new trends in HE research and help scholars better tackle health service challenges for a ‘well-being society’. All the glossary of terms in this study was shown on Table 1.

2. Bibliographic Records and Method

2.1. Data Source Collection

In this study, the data was downloaded on 5 January 2022, from the Web of Science (Core Collection). The MeSH and entry terms were used singularly or in combination through the following strategies: topic: (“Health Education” OR “Education, Health” OR “Community Health Education” OR “Education, Community Health” OR “Health Education, Community”) and their Boolean combination, which means that articles with those words in the title or abstract, or keywords will be retrieved. Refined by document: (Article) AND language: (English). The data set was collected for Timespan = 2011–2021. From the search, we included 10,273 records using the strategy settings.
Table 2 lists the search queries and strategies procedure. Each downloaded article was saved as plain text files for subsequent data processing and analysis and transformed into an executable format using the “Data/Import/Export” of Citespace for visualization.

2.2. Software Program and Method

Citespace, designed by Chaomei Chen, was utilized to analyze and visualize the theme architectures and investigate hotspots of the selected articles. The primary source of input data for this software was the Web of Science database, and the primary procedure steps of this program were time slicing, thresholding, model establishment, pruning, merging, and mapping [6].
The software could determine research frontiers and forecast bursts by titles, abstracts, descriptors, and bibliographies, utilizing three core terms: co-occurring keywords, document co-citation clusters, and citation bursts. Those terms could address three challenges timely and practically: marking keywords, determining the essence of study frontiers, and determining new tendencies and abrupt variations [7]. Hence, the process made it simple for researchers to identify hotspots by recognizing nodal points with high frequency and betweenness centrality (BC). When the clustering function was initiated, it showed the frontiers of the research, the Modularity Q, and Mean Silhouette scoring which remarkably influenced visualization, reflecting the general structure feature of the net. Normally, Q > 0.3 denotes a generally significant structure. If S ≥ 0.5, the cluster will be deemed reasonable. Moreover, emerging trends could be tagged by using a citation burst [8].
The present study mainly compared and analyzed the characteristics of the data concerning 10,273 HE-related articles in the Web of Science (Core Collection) using Citespace 5.6.R5 (64-bit). We first identified author/institution/country collaborations, then examined co-occurring keywords, then explored major clusters with document co-citations in HE, and then detected emerging trends through reference burst citations. Studies published from 2011 to 2021 set the parameters as chosen with a time slice of 1 year for the analysis, and the selection criteria were the top n = 50 per slice.

3. Results

3.1. Publication Years and Journals

Since 2011, the SCI database has included 10,273 HE articles and manuscripts, and increasing attention has been paid to the accumulative published articles about HE, see Figure 1.
The ten prolific journals with the greatest number of published articles about HE studies are listed in Figure 2, which can provide new researchers with more important information when they consider a submission. Journals of BMC PUBLIC HEALTH ranked first in terms of the quantity of published research. These journals aim to propagate epidemiological knowledge and all-around information pertaining to public health. They especially highlight the societal determining factors of health, and the environment-, behavior-, and occupation-related associations with illnesses, as well as the influence of healthcare strategy, practice, and intervention on communities, whereas there is not any clinical research in BMC Public Health journals. The INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (IJERPH) ranked No. 3. As an all-around multidisciplinary periodical, IJERPH had a 2020 impact factor of 3.390 according to the Journal Citation Reports 2020 edition, which ranks 68/203 in ‘Public, Environment and Occupation Health’. IJERPH highlights the research on the interplay between environmental health and life quality, and the socio-cultural, political, economic, and law aspects associated with environmental management, and public health.

3.2. Cooperative Network Visualization

Figure 3 can provide highly personalized scientific research information for other researchers. It is immediately apparent that many authors tend to collaborate with a relatively stable group of collaborators to generate several major author clusters, and each cluster usually contains two or more core authors. This analysis demonstrates that the most representative author in the field of HE is Marco Pahor, followed by Abby C King, Roger A Fielding, Anne B Newman, and Todd M Manini. Marco Pahor, M.D., is an internationally recognized geriatrician and epidemiologist expert on population-based studies, clinical trials, and multidisciplinary translational research in the fields of aging, disability, and cardiovascular disease. His h-index is 96 and his average number of citations per article is 89.87.
The University of Sydney has published the largest number of studies (162). The USA created the largest number of studies (3085). South Africa (1.15) has the most centrality in the network.

3.3. Co-Occurring Keywords Analysis

Co-occurring keywords reflect research hotspots in the field of HE. There are 103 individual nodes and 114 links in Figure 4. As we can see, the maximum frequency was ‘health education’ with 1878, followed by ‘prevalence’, ‘knowledge’, ‘health’, and ‘intervention’. Most nodes marked with purple circles represent good BC, and these keywords are also important, such as ‘awareness’ with a maximum centrality of 1.12, followed by ‘physical activity’, ‘reproductive health’, ‘knowledge’, and ‘adolescent’.

3.4. Document Co-Citation Analysis

The results are illustrated in Figure 5 (right). These nodes and lines represent cited articles and co-citation relationships among the whole data set, respectively. The more cited, the larger node. The color and thickness of the circle in the node indicate the citation frequency at different time periods. Line colors correspond directly to the time slice, meaning that cold colors represent earlier years, while warm colors show more recent years. For example, blue lines represent studies that were co-cited earlier. Recently cited studies are shown by yellow or orange lines. The citation year ring represents the citation history of this study; the color of the citation ring represents the color responding to the citation time, with a similar color code as explained before. The thickness of an annual ring is proportional to the number of citations in a time zone.
Table 3 presents the top five most cited articles in the field of HE. These cited articles mainly involved physical activity, global health, COVID-19, violence prevention, HL, and methodology. Firstly, the most cited paper tested the effectiveness of a long-term structured physical activity program, by Pahor M (2014) [9], which summarized a successful HE initiative for aging persons, involving a structured moderate-intensity physical activity program that showed positive aspects and reduced older adults’ major motor disabilities over 2.6 years. The second most cited paper was by Bray F (2018) [45], which provided a status report on the burden of cancer worldwide, identifying lung cancer as the first condition for both sexes to be careful about, with lung, prostate, colorectal, liver, and stomach cancers reported as high-incidence cancers among males, and breast, colorectal, lung, and cervical cancers for females. However, the main causes of cancer and the leading cause of cancer deaths varied considerably across different countries and within countries. Importance was attached to registering high-quality cancer data, particularly in low- and middle-income countries. The global status report on violence prevention 2014 [10] analyzed 133 countries’ data to determine national efforts to deal with interpersonal violence, such as child abuse, adolescent violence, intimate partner and sexual violence, and elder maltreatment. Sorensen K (2012) [11] reviewed the existing definitions and models on HL and developed a combined definition and concept model based on medical and public health. This definition and concept model could be useful to enhance the intervention effectiveness and assess different viewpoints of HL in healthcare, preventive medicine, and health promotion. Zhong. BL (2020) [12] investigated Chinese people’s knowledge, attitudes, and practices (KAP) during the outbreak of COVID-19, indicating that Chinese people had a positive KAP, particularly women who have high socioeconomic status.

3.5. Clusters Interpretation

The analyzed document co-citation cluster represents the main research patterns in the knowledge domain of HE. There are 1116 individual nodes and 2044 links which contain 10 main clusters. The modularity Q was 0.8837 and the Mean Silhouette was 0.3505, which means this cluster has a reasonable and significant structure [8], see Figure 5 (left).
Table 4 summarizes the details of the 10 clusters named, in which the log-likelihood ratio is popular with researchers and always showed the best results associated with clustering [7]. According to the document co-citation cluster markers, it can be observed that scholars and experts are concerned about disease prevention and control, global health training, intervention, and management. Combined with highly cited references, the topics of global HE, disease intervention, and healthcare work are at the hotspots of current research. HL, chronic disease management, health promotion, social media-based HE, COVID-19, and neglected tropical diseases (NTDs) have been studied horizontally and deeply.
According to the narrative summary of CiteSpace, we found that Cluster #0 (soil-transmitted helminth infection), Cluster #4 (global health training), and Cluster #9 (community health worker), have the strongest citation bursts in dark dots, suggesting that these clusters constitute the major study efforts in the period 2011–2021.
Cluster #0 is labeled as soil-transmitted helminth infection (STH), with more attention being given to STH infections and prevalence, the intensity of infection, and associated risk factors. There are a total of 77 articles in this cluster. The five most cited articles include Bieri FA (2013), Pullan RL (2014), Utzinger J (2009), Bethony J (2006), and Strunz EC (2014). Bethony J (2006) [46] introduced STH infections, discussed the current prevalence and drug interventions, and pointed out the significant need to develop and measure new control tools. Utzinger J (2009) [47] described and advocated the effects of educational, biomedical, and project strategies, and geospatial tools on achieving sustainable STH control. Bieri FA (2013) [13] developed a HE intervention program to expand students’ knowledge of STH, improve their HL, and advise behavioral changes to reduce prevalence and disease burden. Pullan RL (2014) [14] analyzed epidemiological data from 118 countries to estimate the number of infections and disease burden of STH infections globally in 2010. They found that STH infections and years of healthy life lost (YLDs) due to disabilities occurred mostly in Asia. They calculated that there were about 438.9 million people infected with hookworm, 819.0 million with A. lumbricoides, and 464.6 million with T. trichiura, with most of the cases occurring in Asia. Strunz EC (2014) [48] conducted a meta-analysis and concluded that water, sanitation, and hygiene access and practices are generally associated with reduced odds of STH infection.
Cluster #4 is labeled as global health training, and mainly includes the investigation of training programs, innovative model development, and evaluations on improving health and achieving equity in health for all people worldwide. There is a total of 49 articles in this cluster. The five most cited articles are by Frenk J (2010), Koplan JP (2009), Battat R (2010), Crump JA (2010), and Drain PK (2007). Due to the rapid demographic and epidemiological transitions, health professional education has not kept up the pace with these challenges, leading to traditional practitioners being unable or having the insufficient professional capacity to answer the fresh health challenges [15]. Koplan JP (2009) [16] highlighted the importance of using a common definition of global health and displayed the logic, connection, and function beneath the definition of global health. Battat R (2010) [49] reviewed competencies and educational approaches for teaching global health. They indicated that medical education pays more attention to competencies about understanding the global burden of disease (GBD), primary care within diverse cultural settings, healthcare disparities between countries, migrant health, travel medicine, and skills to better adapt to different cultures, populations, and healthcare systems. Crump JA (2010) [50] designed a set of guidelines for a field-based global health training program to help organizations, trainees, and institutions address various challenges. Drain PK (2007) [51] reviewed evidence of the benefits of promoting more global health teaching and opportunities to medical students and provided medical schools with several steps to meet the growing global health needs of medical students.
Cluster #9 is labeled as the community health worker, which focuses on health promotion. There are 44 articles in this cluster. The three most cited articles are Bray F (2018), Ferlay J (2015), and Patton GC (2016). Bray F (2018) [45] ‘s paper was described and explained in Section 3.4. Ferlay J (2015) [17] briefly described that lung, breast, and colorectal cancers were the most diagnosed, and lung, liver, and stomach cancers were the three common causes of cancer death, respectively. Patton GC (2016) [52] called for immediate investment in adolescent health and wellbeing and discussed how to create opportunities to meaningfully engage and increase health and wellbeing resources to address the challenges.
Important cited articles of other clusters in this knowledge domain are worth mentioning. These cited articles are more concerned with chronic disease and cancer incidence rates. Chobanian AV (2003) [53] revealed the 7th report of the Joint National Committee on the prevention, detection, evaluation, and treatment of high blood pressure to provide an evidence-based approach to the prevention and management of hypertension. Wild S (2004) [54] indicated that the prevalence of diabetes mellitus for all age groups worldwide will become more serious, estimating 366 million (4.4%) in 2030. The increase in the proportion of people >65 years of age probably might be the reason for the demographic change in diabetes. Meanwhile, they found that men had a higher prevalence of diabetes than women, but there are more women with diabetes than men. Ogden CL (2014) [18] compared trends in obesity among US children between 2003 and 2012 and provided a detailed analysis of obesity trends among US adults. Jemal A (2011) [19] reported that more than half of all cancer cases and cancer deaths occurred in developing countries. Furthermore, medical and health conditions in developing countries did not meet local needs. Specifically, the overall cancer incidence in developing countries is half that of developed countries, but overall, cancer mortality rates are broadly similar, which might be due to a lack of access to timely and standardized care, or advanced conditions at the time of admission.

3.6. Turning-Point Articles in Terms of BC

The broader rings in Figure 5 are another important sign of node, and play a ‘connected’ role in the visualization network, which is considered the novel and interdisciplinary turning point [55]. Table 5 shows the top three papers in terms of BC. More detailed information about the centrality can be found in Appendix A.
Murray CJL (2012). Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010 [56], connects Cluster #0 (soil-transmitted helminth infection) and Cluster #2 (taenia solium). The average formulation years of the two clusters are 2011 and 2013, indicating STH is one of the knowledge bases of taenia solium. Murray CJL (2012) indicated that the global disease burden kept on moving from communicable to non-communicable diseases (NCDs) and from premature mortality to years lived with disability. In sub-Saharan Africa, however, many communicable NTDs, maternal health, neonatal, and malnutrition remain the major causes of disease burden. Mental problems and behavioral disorders, and chronic diseases should be paid attention to, which would bring out new issues or challenges for health systems.
Sorensen K (2012). Health literacy and public health: a systematic review and integration of definitions and models [11] described in Section 3.4, connects Cluster #2 (taenia solium) and Cluster #3 (COVID-19 pandemic). Sorensen K (2012) expressed that it is very difficult to horizontally compare analysis research results in different countries, due to there being no common results about the definition of HL or its conceptual dimensions. They reviewed and then developed a comprehensive conceptual model, containing 12-conceptual dimensions, such as the knowledge, motivation, and competencies of accessing, understanding, appraising, and applying health-related information within healthcare, disease prevention, and health promotion settings, respectively.
Braun V (2006). Using thematic analysis in psychology [20], Braun V (2006) described a qualitative research method, outlined the disadvantages and advantages of thematic analysis, and recommended thematic analysis as a useful and flexible method for qualitative research in and beyond psychology.

3.7. Citation Bursts

Burst detection could be widely used to explore the research trends of a research field [7], and recent ongoing bursts can indirectly predict future trends [57]. This study also utilized this algorithm to output the recent citation burst for exploring the emerging trends of HE studies. We set the Minimum Duration = 2 years and viewed the result. There were 141 references with the strongest citation bursts, see Appendix B. The burst group with the end year of 2021 suggests that their citation burst will probably continue in the future. In total, 31 papers with the end year of 2021 were classified to represent different emerging trends in the future. The main future directions based on the recent citation burst are summarized in Table 6.
The increasing compelling trend is COVID-19. Huang CL (2020) [61] and Zhu N (2020) [63] collected and described data on these patients with suspected 2019-nCoV in Wuhan, China offering the epidemiological, clinical, laboratory characteristics and treatment, and clinical outcomes evidence of 2019-nCoV at the early stages of the epidemic. Bai Y (2020) [69] analyzed a case of asymptomatic COVID-19 transmission from human-to-human infection. More importantly, they provided and highlighted the healthcare department’s need to pay attention to the potential effects of COVID-19, and suggested several strategies that can prevent, control, and intercept the spread of 2019-nCoV. Sohrabi C (2020) [70] reviewed the existing COVID-19 prevention, diagnosis, treatment, and prognosis knowledge, and suggested strict surveillance and ongoing monitoring to accurately track and potentially predict its future. Meanwhile, the surveys showed that most of the residents had better KAP towards COVID-19 [58,59,60], but those with comorbid conditions [65], i.e., elderly, lower-income, and other social gradients [62] were significantly lacking the necessary knowledge about COVID-19.
The second direction is to ensure healthy lives and promote well-being for all ages. The objective evaluation of disease burden could help the policymakers to determine the health problems which need to be solved and prioritize development projects which are based on the premise of fair, reasonable, and effective allocation and utilization of health resources. On the one hand, an aging population and lower mortality rates for children under 5-years have contributed to human life expectancy generally increasing. On the other hand, globalization and urbanization promote unhealthy lifestyles (such as tobacco and alcohol, unhealthy diet, and physical inactivity), and changes in exposure risk factors (such as indoor and outdoor air pollution), have led to chronic NCDs becoming major public health problems. What is more, new infectious diseases and the recurrence of existing infectious diseases have caused serious public health problems [76]. Therefore, achieving universal health coverage (UHC) has become the second research hotspot.
The third direction is public health education and the health workforce. Sorensen K (2015) [62] indicated that inadequate HL represents an important challenge for health policies and practices across Europe. Government subsidies play an important role in developing public health services to achieve UHC, especially in low- and middle-income countries or for internal migrants [71]. The growing popularity of the digital age has promoted the development of social media, which offered many opportunities to improve public health literacy but also created some challenges for public health [68]. We should particularly recognize the importance of an adequate and accessible health workforce to provide an integrated and effective health system and care. Jogerst K (2015) [21] put forward a list of inter-profession global health capabilities to guide extensive education programs.

4. Discussion

HE constitutes an increasing element in global health promotion, and more attention has been paid to relevant research. From the visualization of the domain of HE from 2011 to 2021, our study found the core articles, and the largest cluster is STH, laying emphasis on strategies of schistosomiasis control. Additionally, the two clusters labeled as global health training and community health workers were also discussed. The goals are to cultivate comprehensive, high-quality health workforces to promote professional development and improve global health. Meanwhile, the key references with the most citation bursts onward suggested that the COVID-19 pandemic has had a dramatic impact on health systems and the well-being of people and communities around the world. The topic of core health literacy for COVID-19 prevention and control has attracted widespread attention. Specifically, the topic includes several subtopics: assessment of the KAP of the public, COVID-19 epidemiology, modes of transmission and reproduction intervals, and prevention and control strategies. COVID-19 vaccine acceptance, COVID-19 psychology-related problems, the post-COVID-19 pandemic era and HE, and global emergency system management are also widely discussed.
As known, inequality in health is undesirable because it has significant effects on other parts of society, such as infectious diseases, adolescent-related health issues, alcohol or drug abuse, and violence or crime [77]. The research promotes trans-department and international government cooperation calling for action on primary health care [66,72,74], global health security [78,79], immunization vaccination [80,81], sexual and reproductive health [82,83,84,85,86,87], maternal [64,88,89], adolescent [90,91,92,93,94], and family planning [89], NCDs [95,96,97], NTDs prevention [98,99], cancer screening and treatment [100,101], etc. This would have a positive lifelong effect on health. Meanwhile, it is crucial to provide disease-matching HE for patients with lower education levels to enhance their HL, which is also one way to fight specific diseases and illnesses. In addition, using the burst detection method, we found that studies on achieving UHC and providing adequate and accessible health workforces might be more and more popular in the next few years. Specifically, as the world’s population ages rapidly, the global burden of disease (GBD) is increasing. Meanwhile, during rapid demographic and epidemiological pandemics, infectious diseases, behavioral risks, and environmental concerns could affect and threaten our health. Hence, having the ability to offer the availability of quality integrated care services and making sure adequate healthcare workers deliver effective health services is an essential element to achieving UHC [102].
Research has emphasized that increasing individual health awareness is very important for successful HE and prevention programs. The literature also advises people about healthy behaviors and lifestyle habits to prevent diseases. Healthcare organizations also need to ensure that preventive practices information is complete and adequate.

5. Conclusions

This study demonstrated a quantitative scientometric method and explored the progress of HE studies by using keywords and references published in this field. The results will be helpful for professional workers to understand visually the recognition modes and trends.
We analyzed a total of 10,273 eligible articles, which showed that BMC Public Health published the most prolific number of journals. The author Marco Pahor was highlighted as the most representative author in the field of HE. The University of Sydney published the most studies about HE. The USA plays an important role, creating the largest number of these studies. Specifically, the visualization shows several hotspots: disease prevalence surveys and a specific population of knowledge, attitude and practice surveys, health intervention, chronic and non-communicable management, youth-health action, sexual and reproductive health, and physical activity promotion. Furthermore, document co-citation analysis indicated that there are 10 main clusters, representing the research fronts in HE. Meanwhile, from the citations detected, COVID-19, achieving universal health coverage, public HE, and an adequate health workforce might be more popular studies in the coming years.
There are certain deficiencies in the present research. Firstly, the screened articles were merely from the Web of Science (Core Collection). Furthermore, this present study merely selected English articles, and the status of research on HE in other languages was not identified. However, we believe the results presented by the visualization by CiteSpace that the knowledge of HE is progressively arousing mounting interest. The presented research facilitates an extensive understanding of the fundamental ideas and terms that are pivotal for the developmental processes for HE and offers experts the opportunity to visualize the identification modes and tendencies.

Author Contributions

Conceptualization, Methodology, Visualization, Writing—Original draft preparation, B.C. Data curation, M.W. Investigation, Validation, Z.L. Writing—Reviewing and Editing, S.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT), grant number No. 2022–0136; the General Project of Humanities and Social Sciences Research in Colleges and universities in Henan Province, grant number 2021-ZZJH-113.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A. Articles in Terms of BC

CentralityReference
0.25Murray CJL, 2012, LANCET, V380, P2197 [56]
0.17Sorensen K, 2012, BMC PUBLIC HEALTH, V12, P80 [11]
0.13Braun V, 2006, QUAL RES PSYCHOL, V3, P77 [20]
0.12WHO, 2014, GLOBAL STATUS REPORT ON VIOLENCE PREVENTION 2014 [10]
0.12Lozano R, 2012, LANCET, V380, P2095 [26]
0.12Glanz K, 2008, HLTH BEHAV HLTH ED T. [103]
0.12Jia TW, 2012, PLOS NEGLECT TROP D, V6, P1621 [104]
0.12Schulz KF, 2010, BMJ-BRIT MED J, V340, P726 [37]
0.11Frenk J, 2010, LANCET, V376, P1923 [15]
0.11Utzinger J, 2009, PARASITOLOGY, V136, P1859 [47]
0.11Patton GC, 2012, LANCET, V379, P1665 [105]
0.1Hallal PC, 2012, LANCET, V380, P247 [106]

Appendix B. Top 141 References with the Strongest Citation Bursts

ReferencesYearStrengthBeginEnd2011–2021
Ref. [54] Wild S, 2004, DIABETES CARE, V27, P104720043.9120112012▃▃▂▂▂▂▂▂▂▂▂
Ref. [107] Bandura A, 2004, HEALTH EDUC BEHAV, V31, P14320042.9320112012▃▃▂▂▂▂▂▂▂▂▂
Ref. [34] Parkin DM, 2005, CA-CANCER J CLIN, V55, P7420053.2520122013▃▃▂▂▂▂▂▂▂▂
Ref. [108] Hsieh HF, 2005, QUAL HEALTH RES, V15, P127720053.2520122013▃▃▂▂▂▂▂▂▂▂
Ref. [39] World Health Organization, 2005, PREV CHRON DIS VIT I20053.2520122013▃▃▂▂▂▂▂▂▂▂
Ref. [109] Beltran-Aguilar Eugenio D, 2005, Morbidity and Mortality Weekly Report, V54, P120052.9320112012▃▃▂▂▂▂▂▂▂▂▂
Ref. [110] Deakin T, 2005, COCHRANE DB SYST REV20052.7820122013▃▃▂▂▂▂▂▂▂▂
Ref. [20] Braun V, 2006, QUAL RES PSYCHOL, V3, P7720066.6620112014▃▃▃▃▂▂▂▂▂▂▂
Ref. [46] Bethony J, 2006, LANCET, V367, P152120065.5720132014▂▂▃▃▂▂▂▂▂▂▂
Ref. [43] Steinmann P, 2006, LANCET INFECT DIS, V6, P41120065.0020132014▂▂▃▃▂▂▂▂▂▂▂
Ref. [111] Mathers CD, 2006, PLOS MED, V3, P44220063.8920132014▂▂▃▃▂▂▂▂▂▂▂
Ref. [112] Weinstein P, 2006, J AM DENT ASSOC, V137, P78920063.2520122013▃▃▂▂▂▂▂▂▂▂
Ref. [113] Lopez AD, 2006, LANCET, V367, P174720062.9320112012▃▃▂▂▂▂▂▂▂▂▂
Ref. [36] Osborne RH, 2007, PATIENT EDUC COUNS, V66, P19220078.8720132015▂▂▃▃▃▂▂▂▂▂▂
Ref. [114] Haskell WL, 2007, MED SCI SPORT EXER, V39, P142320074.2520132015▂▂▃▃▃▂▂▂▂▂▂
Ref. [115] Nolte S, 2007, PATIENT EDUC COUNS, V65, P35120074.0620132015▂▂▃▃▃▂▂▂▂▂▂
Ref. [116] Houpt ER, 2007, ACAD MED, V82, P22220073.8420112014▃▃▃▃▂▂▂▂▂▂▂
Ref. [51] Drain PK, 2007, ACAD MED, V82, P22620073.7220112015▃▃▃▃▃▂▂▂▂▂▂
Ref. [117] Markowitz Lauri E, 2007, Morbidity and Mortality Weekly Report, V56, P120072.8320132015▂▂▃▃▃▂▂▂▂▂▂
Ref. [103] Glanz K, 2008, HLTH BEHAV HLTH ED T20086.6120132016▂▂▃▃▃▃▂▂▂▂▂
Ref. [118] Nutbeam D, 2008, SOC SCI MED, V67, P207220084.5620142015▂▂▂▃▃▂▂▂▂▂▂
Ref. [119] Rollnick S, 2008, MOTIVATIONAL INTERVI20084.2520132015▂▂▃▃▃▂▂▂▂▂▂
Ref. [120] Wu YF, 2008, CIRCULATION, V118, P267920083.7820132015▂▂▃▃▃▂▂▂▂▂▂
Ref. [121] Izadnegahdar R, 2008, ACAD MED, V83, P19220083.4120142016▂▂▂▃▃▃▂▂▂▂▂
Ref. [122] Keiser J, 2008, JAMA-J AM MED ASSOC, V299, P193720083.3020132015▂▂▃▃▃▂▂▂▂▂▂
Ref. [123] Elo S, 2008, J ADV NURS, V62, P10720083.2020142016▂▂▂▃▃▃▂▂▂▂▂
Ref. [124] Simkhada B, 2008, J ADV NURS, V61, P24420082.8320132015▂▂▃▃▃▂▂▂▂▂▂
Ref. [125] Hotez PJ, 2009, PLOS NEGLECT TROP D, V3, P41220095.4920142016▂▂▂▃▃▃▂▂▂▂▂
Ref. [16] Koplan JP, 2009, LANCET, V373, P199320095.0120152017▂▂▂▂▃▃▃▂▂▂▂
Ref. [126] Yevlahova D, 2009, AUST DENT J, V54, P19020094.4520132014▂▂▃▃▂▂▂▂▂▂▂
Ref. [47] Utzinger J, 2009, PARASITOLOGY, V136, P185920094.2320132017▂▂▃▃▃▃▃▂▂▂▂
Ref. [127] Harris PA, 2009, J BIOMED INFORM, V42, P37720094.2120152017▂▂▂▂▃▃▃▂▂▂▂
Ref. [15] Frenk J, 2010, LANCET, V376, P192320106.5520132016▂▂▃▃▃▃▂▂▂▂▂
Ref. [40] Ferlay J, 2010, INT J CANCER, V127, P289320104.7220132015▂▂▃▃▃▂▂▂▂▂▂
Ref. [50] Crump JA, 2010, AM J TROP MED HYG, V83, P117820104.5320162018▂▂▂▂▂▃▃▃▂▂▂
Ref. [49] Battat R, 2010, BMC MED EDUC, V10, P9420104.0420142015▂▂▂▃▃▂▂▂▂▂▂
Ref. [35] Ogden CL, 2010, JAMA-J AM MED ASSOC, V303, P24220103.7220112015▃▃▃▃▃▂▂▂▂▂▂
Ref. [128] Teuschl Y, 2010, INT J STROKE, V5, P18720103.2420142015▂▂▂▃▃▂▂▂▂▂▂
Ref. [129] World Health Organization, 2010, FRAM ACT INT ED COLL20102.9520142016▂▂▂▃▃▃▂▂▂▂▂
Ref. [130] Eaton Danice K, 2010, Morbidity and Mortality Weekly Report, V59, P120102.7820122013▃▃▂▂▂▂▂▂▂▂
Ref. [131] Wakefield MA, 2010, LANCET, V376, P126120102.6320152018▂▂▂▂▃▃▃▃▂▂▂
Ref. [27] Fielding RA, 2011, J GERONTOL A-BIOL, V66, P122620119.3420162019▂▂▂▂▂▃▃▃▃▂▂
Ref. [132] Berkman ND, 2011, ANN INTERN MED, V155, P9720116.9720172019▂▂▂▂▂▂▃▃▃▂▂
Ref. [133] Lee PH, 2011, INT J BEHAV NUTR PHY, V8, P11520114.3620182019▂▂▂▂▂▂▂▃▃▂▂
Ref. [134] Interprofessional Education Collaborative Expert Panel, 2011, COR COMP INT COLL PR20114.3320142015▂▂▂▃▃▂▂▂▂▂▂
Ref. [135] StataCorp, 2011, STAT STAT SOFTW REL20114.3320142015▂▂▂▃▃▂▂▂▂▂▂
Ref. [136] Erickson KI, 2011, P NATL ACAD SCI USA, V108, P301720113.9520172019▂▂▂▂▂▂▃▃▃▂▂
Ref. [137] Ngui R, 2011, PLOS NEGLECT TROP D, V5, P97420113.8920132014▂▂▃▃▂▂▂▂▂▂▂
Ref. [138] Jemal A, 2011, CA-CANCER J CLIN, V61, P6920113.7420132016▂▂▃▃▃▃▂▂▂▂▂
Ref. [139] Polit DF, 2011, FUNDAMENTOS PESQUISA20113.4820172018▂▂▂▂▂▂▃▃▂▂▂
Ref. [140] Osborne RH, 2011, NURS CLIN N AM, V46, P25520113.3020132015▂▂▃▃▃▂▂▂▂▂▂
Ref. [141] Whiting DR, 2011, DIABETES RES CLIN PR, V94, P31120113.1620152016▂▂▂▂▃▃▂▂▂▂▂
Ref. [142] Puska P, 2011, GLOBAL ATLAS CARDIOV20112.9820172018▂▂▂▂▂▂▃▃▂▂▂
Ref. [143] Studenski S, 2011, JAMA-J AM MED ASSOC, V305, P5020112.9420152017▂▂▂▂▃▃▃▂▂▂▂
Ref. [11] Sorensen K, 2012, BMC PUBLIC HEALTH, V12, P80201210.2420172020▂▂▂▂▂▃▃▃▃
Ref. [56] Murray CJL, 2012, LANCET, V380, P219720125.9820142017▂▂▃▃▃▃▂▂▂▂
Ref. [26] Lozano R, 2012, LANCET, V380, P209520125.4420142016▂▂▃▃▃▂▂▂▂▂
Ref. [25] Lim SS, 2012, LANCET, V380, P222420124.4420142019▂▂▃▃▃▃▃▃▂▂
Ref. [144] Lee IM, 2012, LANCET, V380, P21920124.3620182019▂▂▂▂▂▂▃▃▂▂
Ref. [106] Hallal PC, 2012, LANCET, V380, P24720124.3220172020▂▂▂▂▂▃▃▃▃
Ref. [145] Ziegelbauer K, 2012, PLOS MED, V9, e100116220123.5820132015▃▃▃▂▂▂▂▂▂
Ref. [104] Jia TW, 2012, PLOS NEGLECT TROP D, V6, P162120123.3720142018▂▂▃▃▃▃▃▂▂▂
Ref. [146] Peluso MJ, 2012, MED TEACH, V34, P65320123.1620152016▂▂▂▃▃▂▂▂▂▂
Ref. [147] Sabatino SA, 2012, AM J PREV MED, V43, P9720123.1620142017▂▂▃▃▃▃▂▂▂▂
Ref. [148] Yau JWY, 2012, DIABETES CARE, V35, P55620123.0720182020▂▂▂▂▂▂▃▃▃
Ref. [149] Polit D, 2012, NURSING RES GENERATI20123.0220162017▂▂▂▂▃▃▂▂▂▂
Ref. [150] Ogden CL, 2012, JAMA-J AM MED ASSOC, V307, P48320122.8320132015▃▃▃▂▂▂▂▂▂
Ref. [28] Marsh AP, 2013, J GERONTOL A-BIOL, V68, P154920136.7520162018▂▂▂▂▂▃▃▃▂▂▂
Ref. [23] Gale NK, 2013, BMC MED RES METHODOL, V13, P11720136.7220182021▂▂▂▂▂▂▂▃▃▃▃
Ref. [38] Vaismoradi M, 2013, NURS HEALTH SCI, V15, P39820135.4420182021▂▂▂▂▂▂▂▃▃▃▃
Ref. [151] World Health Organization, 2013, ORAL HLTH SURVEYS BA20134.9720172018▂▂▂▂▂▂▃▃▂▂▂
Ref. [152] WHO, 2013, WORLD MALARIA REPORT 201320134.5720142016▂▂▃▃▃▂▂▂▂▂
Ref. [153] American Psychiatric Association DSM-5 TaskForce, 2013, DIAGN STAT MAN MENT, V5th20134.3920172019▂▂▂▂▂▂▃▃▃▂▂
Ref. [154] Schuler M, 2013, QUAL LIFE RES, V22, P139120134.3320142015▂▂▃▃▂▂▂▂▂▂
Ref. [155] Gyorkos Theresa W, 2013, PLOS NEGL TROP DIS, V7, P239720134.3220182019▂▂▂▂▂▂▂▃▃▂▂
Ref. [156] Chan AW, 2013, ANN INTERN MED, V158, P20020134.2420192020▂▂▂▂▂▂▂▂▃▃
Ref. [157] Marcenes W, 2013, J DENT RES, V92, P59220133.9720172018▂▂▂▂▂▂▃▃▂▂▂
Ref. [158] Commission on Social Determinants of Health, 2013, CLOSING GAP GENERATI20133.6920152016▂▂▂▂▃▃▂▂▂▂▂
Ref. [159] Sady H, 2013, PLOS NEGLECT TROP D, V7, P237720133.6920152016▂▂▂▂▃▃▂▂▂▂▂
Ref. [160] World Med Assoc, 2013, JAMA-J AM MED ASSOC, V310, P219120133.6720192021▂▂▂▂▂▂▂▂▃▃▃
Ref. [13] Bieri FA, 2013, NEW ENGL J MED, V368, P160320133.6320182019▂▂▂▂▂▂▂▃▃▂▂
Ref. [161] Cooper AM, 2013, COCHRANE DB SYST REV20133.4820172018▂▂▂▂▂▂▃▃▂▂▂
Ref. [162] Xu Y, 2013, JAMA-J AM MED ASSOC, V310, P94820133.3020162018▂▂▂▂▂▃▃▃▂▂▂
Ref. [163] Nasr NA, 2013, PARASITE VECTOR, V6, P2820133.2420142015▂▂▃▃▂▂▂▂▂▂
Ref. [164] StataCorp, 2013, STAT STAT SOFTW REL20133.1620152016▂▂▂▂▃▃▂▂▂▂▂
Ref. [165] Free C, 2013, PLOS MED, V10, e100136320133.0720172019▂▂▂▂▂▂▃▃▃▂▂
Ref. [166] Marinho VCC, 2013, COCHRANE DB SYST REV20132.7420142016▂▂▃▃▃▂▂▂▂▂
Ref. [9] Pahor M, 2014, JAMA-J AM MED ASSOC, V311, P238720148.5120162019▂▂▂▂▂▃▃▃▃▂▂
Ref. [10] WHO, 2014, GLOBAL STATUS REPORT ON VIOLENCE PREVENTION 201420147.0620172021▂▂▂▂▂▂▃▃▃▃▃
Ref. [18] Ogden CL, 2014, JAMA-J AM MED ASSOC, V311, P80620146.9420152018▂▂▂▃▃▃▃▂▂▂
Ref. [167] Kann L, 2014, MMWR SURVEILL SUMM, V63, P120145.7920162018▂▂▂▂▂▃▃▃▂▂▂
Ref. [168] OBrien BC, 2014, ACAD MED, V89, P124520145.6320202021▂▂▂▂▂▂▂▂▂▃▃
Ref. [14] Pullan RL, 2014, PARASITE VECTOR, V7, P3720145.4420152019▂▂▂▃▃▃▃▃▂▂
Ref. [48] Strunz EC, 2014, PLOS MED, V11, e100162020144.6220152018▂▂▂▃▃▃▃▂▂▂
Ref. [169] Ng M, 2014, LANCET, V384, P76620144.5520162018▂▂▂▂▂▃▃▃▂▂▂
Ref. [170] Guariguata L, 2014, DIABETES RES CLIN PR, V103, P13720143.9720172018▂▂▂▂▂▂▃▃▂▂▂
Ref. [171] Strauss A, 2014, BASICS QUALITATIVE R20143.8820172018▂▂▂▂▂▂▃▃▂▂▂
Ref. [73] Say L, 2014, LANCET GLOB HEALTH, V2, P32320143.6720192021▂▂▂▂▂▂▂▂▃▃▃
Ref. [172] Al-Delaimy AK, 2014, PLOS NEGLECT TROP D, V8, e307420143.5320162017▂▂▂▂▂▃▃▂▂▂▂
Ref. [42] Colley DG, 2014, LANCET, V383, P225320143.3220172020▂▂▂▂▂▂▃▃▃▃
Ref. [22] World Health Organization, 2015, TRENDS MATERNAL MORT20157.1620182020▂▂▂▂▂▂▂▃▃▃
Ref. [62] Sorensen K, 2015, EUR J PUBLIC HEALTH, V25, P105320156.3720202021▂▂▂▂▂▂▂▂▂▃▃
Ref. [173] Shamseer L, 2015, BMJ-BRIT MED J, V34920155.7620192021▂▂▂▂▂▂▂▂▃▃▃
Ref. [174] Palinkas LA, 2015, ADM POLICY MENT HLTH, V42, P53320155.7620192021▂▂▂▂▂▂▂▂▃▃▃
Ref. [21] Jogerst K, 2015, ANN GLOB HEALTH, V81, P23920155.1220172021▂▂▂▂▂▂▃▃▃▃▃
Ref. [67] United Nations, 2015, TRANSF OUR WORLD 203 20155.1220182021▂▂▂▂▂▂▂▃▃▃▃
Ref. [17] Ferlay J, 2015, INT J CANCER, V136, P35920154.6220172019▂▂▂▂▂▂▃▃▃▂▂
Ref. [175] Moore GF, 2015, BMJ-BRIT MED J, V350, P125820154.3620182019▂▂▂▂▂▂▂▃▃▂▂
Ref. [176] Ngandu T, 2015, LANCET, V385, P225520154.2420192020▂▂▂▂▂▂▂▂▃▃
Ref. [177] Naghavi M, 2015, LANCET, V385, P11720154.1320162018▂▂▂▂▃▃▃▂▂▂
Ref. [178] WHO, 2015, GLOB ACT PLAN PREV C20153.9520182020▂▂▂▂▂▂▂▃▃▃
Ref. [179] Kassebaum NJ, 2015, J DENT RES, V94, P65020153.4820172018▂▂▂▂▂▂▃▃▂▂▂
Ref. [180] Vos T, 2015, LANCET, V386, P74320153.4820172018▂▂▂▂▂▂▃▃▂▂▂
Ref. [181] Mwidunda SA, 2015, PLOS ONE, V10, e011854120152.9820172018▂▂▂▂▂▂▃▃▂▂▂
Ref. [52] Patton GC, 2016, LANCET, V387, P242320167.8620202021▂▂▂▂▂▂▂▂▂▃▃
Ref. [182] Alkema L, 2016, LANCET, V387, P46220166.9020192020▂▂▂▂▂▂▂▂▃▃
Ref. [64] Victora CG, 2016, LANCET, V387, P47520165.7620182021▂▂▂▂▂▂▂▃▃▃▃
Ref. [138] Adams LV, 2016, BMC MED EDUC, V16, P29620163.5120182020▂▂▂▂▂▂▂▃▃▃
Ref. [75] Chen WQ, 2016, CA-CANCER J CLIN, V66, P11520162.7720202021▂▂▂▂▂▂▂▂▂▃▃
Ref. [24] Glaser BG, 2017, DISCOV GROUNDED THEO20176.1220182019▂▂▂▂▂▂▃▃▂▂
Ref. [68] Zhang XT, 2017, BMC MED INFORM DECIS, V17, P6620174.9320192021▂▂▂▂▂▂▂▂▃▃▃
Ref. [29] StataCorp, 2017, STATA STAT SOFTWARE20174.7720192020▂▂▂▂▂▂▂▂▃▃
Ref. [183] Livingston G, 2017, LANCET, V390, P267320174.2420192020▂▂▂▂▂▂▂▂▃▃
Ref. [71] Zhang JY, 2017, INT J ENV RES PUB HE, V14, P100220174.2220202021▂▂▂▂▂▂▂▂▂▃▃
Ref. [74] Kassebaum NJ, 2017, J DENT RES, V96, P38020173.2320202021▂▂▂▂▂▂▂▂▂▃▃
Ref. [45] Bray F, 2018, CA-CANCER J CLIN, V68, P394201820.4120202021▂▂▂▂▂▂▂▂▂▃▃
Ref. [30] Saunders B, 2018, QUAL QUANT, V52, P189320189.8720202021▂▂▂▂▂▂▂▂▂▃▃
Ref. [184] World Health Organization, 2018, WHO RECOMMENDATIONS20184.2420192020▂▂▂▂▂▂▂▃▃
Ref. [72] Wang ZW, 2018, CIRCULATION, V137, P234420183.7020192021▂▂▂▂▂▂▂▃▃▃
Ref. [185] Creswell J W, 2018, DESIGNING CONDUCTING, V3rd20183.3020162018▂▂▂▂▂▃▃▃▂▂▂
Ref. [66] Peres MA, 2019, LANCET, V394, P24920195.6320202021▂▂▂▂▂▂▂▂▃▃
Ref. [12] Zhong BL, 2020, INT J BIOL SCI, V16, P1745202019.3920202021▂▂▂▂▂▂▂▂▂▃▃
Ref. [58] Al-Hanawi MK, 2020, FRONT PUBLIC HEALTH, V8, P21720208.4620202021▂▂▂▂▂▂▂▂▂▃▃
Ref. [59] Abdelhafiz AS, 2020, J COMMUN HEALTH, V45, P88120207.0420202021▂▂▂▂▂▂▂▂▂▃▃
Ref. [60] Azlan AA, 2020, PLOS ONE, V15, e023366820207.0420202021▂▂▂▂▂▂▂▂▂▃▃
Ref. [186] R Core Team, 2020, R LANG ENV STAT COMP20206.8420202021▂▂▂▂▂▂▂▂▂▃▃
Ref. [61] Huang CL, 2020, LANCET, V395, P49720206.5720202021▂▂▂▂▂▂▂▂▂▃▃
Ref. [63] Zhu N, 2020, NEW ENGL J MED, V382, P72720206.1020202021▂▂▂▂▂▂▂▂▂▃▃
Ref. [65] Wolf MS, 2020, ANN INTERN MED, V173, P10020205.6320202021▂▂▂▂▂▂▂▂▂▃▃
Ref. [69] Bai Y, 2020, JAMA-J AM MED ASSOC, V323, P140620204.6920202021▂▂▂▂▂▂▂▂▂▃▃
Ref. [70] Sohrabi C, 2020, INT J SURG, V76, P7120204.6920202021▂▂▂▂▂▂▂▂▂▃▃
The green line means the year from 2011 to 2021, and The red line () means the years of the period of burst, with one red equal to one year. For example, [70] Sohrabi C(2020) has a 2-years of burst from 2011 to 2021.

References

  1. World Health Organization. Expert Committee on Health Education of the Public; World Health Organization: Geneva, Switzerland, 1954. [Google Scholar]
  2. Hodge, S. Health education — neglected, but not forgotten! Perspect. Public Health 2009, 129, 22–24. [Google Scholar] [CrossRef]
  3. Ofsted. Time for Change? Personal, Social and Health Education; Ofsted: London, UK, 2007. [Google Scholar]
  4. Abdalla, S.M.; Maani, N.; Ettman, C.K.; Galea, S. Claiming Health as a Public Good in the Post-COVID-19 Era. Development 2020, 63, 200–204. [Google Scholar] [CrossRef] [PubMed]
  5. Nutbeam, D. Health literacy as a public health goal: A challenge for contemporary health education and communication strategies into the 21st century. Health Promot. Int. 2000, 15, 259–267. [Google Scholar] [CrossRef] [Green Version]
  6. Chen, C. Searching for intellectual turning points: Progressive knowledge domain visualization. Proc. Natl. Acad. Sci. USA 2004, 101 (Suppl. S1), 5303–5310. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Chen, C. CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. J. Am. Soc. Inf. Sci. Technol. 2006, 57, 359–377. [Google Scholar] [CrossRef] [Green Version]
  8. Chen, Y.; Chen, C.; Liu, Z.; Hu, Z.; Wang, X. The methodology function of CiteSpace mapping knowledge domains. Stud. Sci. Sci. 2015, 33, 242–253. [Google Scholar]
  9. Pahor, M.; Guralnik, J.M.; Ambrosius, W.T.; Blair, S.; Bonds, D.E.; Church, T.S.; Espeland, M.A.; Fielding, R.A.; Gill, T.M.; Groessl, E.J.; et al. Effect of structured physical activity on prevention of major mobility disability in older adults: The LIFE study randomized clinical trial. JAMA 2014, 311, 2387–2396. [Google Scholar] [CrossRef]
  10. World Health Organization. Global Status Report on Violence Prevention 2014; World Health Organization: Geneva, Switzerland, 2014. [Google Scholar]
  11. Sørensen, K.; Van den Broucke, S.; Fullam, J.; Doyle, G.; Pelikan, J.; Slonska, Z.; Brand, H. Health literacy and public health: A systematic review and integration of definitions and models. BMC Public Health 2012, 12, 80. [Google Scholar] [CrossRef] [Green Version]
  12. Zhong, B.L.; Luo, W.; Li, H.M.; Zhang, Q.Q.; Liu, X.G.; Li, W.T.; Li, Y. Knowledge, attitudes, and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: A quick online cross-sectional survey. Int. J. Biol. Sci. 2020, 16, 1745–1752. [Google Scholar] [CrossRef]
  13. Bieri, F.A.; Gray, D.J.; Williams, G.M.; Raso, G.; Li, Y.S.; Yuan, L.; He, Y.; Li, R.S.; Guo, F.Y.; Li, S.M.; et al. Health-education package to prevent worm infections in Chinese schoolchildren. N. Engl. J. Med. 2013, 368, 1603–1612. [Google Scholar] [CrossRef] [Green Version]
  14. Pullan, R.L.; Smith, J.L.; Jasrasaria, R.; Brooker, S.J. Global numbers of infection and disease burden of soil transmitted helminth infections in 2010. Parasites Vectors 2014, 7, 37. [Google Scholar] [CrossRef] [Green Version]
  15. Frenk, J.; Chen, L.; Bhutta, Z.A.; Cohen, J.; Crisp, N.; Evans, T.; Fineberg, H.; Garcia, P.; Ke, Y.; Kelley, P.; et al. Health professionals for a new century: Transforming education to strengthen health systems in an interdependent world. Lancet 2010, 376, 1923–1958. [Google Scholar] [CrossRef] [Green Version]
  16. Koplan, J.P.; Bond, T.C.; Merson, M.H.; Reddy, K.S.; Rodriguez, M.H.; Sewankambo, N.K.; Wasserheit, J.N.; for the Consortium of Universities for Global Health Executive Board. Towards a common definition of global health. Lancet 2009, 373, 1993–1995. [Google Scholar] [CrossRef]
  17. Ferlay, J.; Soerjomataram, I.; Dikshit, R.; Eser, S.; Mathers, C.; Rebelo, M.; Parkin, D.M.; Forman, D.; Bray, F. Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012. Int. J. Cancer 2015, 136, E359–E386. [Google Scholar] [CrossRef]
  18. Ogden, C.L.; Carroll, M.D.; Kit, B.K.; Flegal, K.M. Prevalence of childhood and adult obesity in the United States, 2011–2012. JAMA 2014, 311, 806–814. [Google Scholar] [CrossRef] [Green Version]
  19. Jemal, A.; Bray, F.; Center, M.M.; Ferlay, J.; Ward, E.; Forman, D. Global cancer statistics. CA Cancer J. Clin. 2011, 61, 69–90. [Google Scholar] [CrossRef] [Green Version]
  20. Braun, V.; Clarke, V. Using thematic analysis in psychology. Qual. Res. Psychol. 2006, 3, 77–101. [Google Scholar] [CrossRef] [Green Version]
  21. Jogerst, K.; Callender, B.; Adams, V.; Evert, J.; Fields, E.; Hall, T.; Olsen, J.; Rowthorn, V.; Rudy, S.; Shen, J.; et al. Identifying interprofessional global health competencies for 21st-century health professionals. Ann. Glob. Health 2015, 81, 239–247. [Google Scholar] [CrossRef]
  22. Word Health Organization. Trends in Maternal Mortality: 1990–2015: Estimates from WHO, UNICEF, UNFPA, World Bank Group and the United Nations Population Division; World Health Organization: Geneva, Switzerland, 2015. [Google Scholar]
  23. Gale, N.K.; Heath, G.; Cameron, E.; Rashid, S.; Redwood, S. Using the framework method for the analysis of qualitative data in multi-disciplinary health research. BMC Med. Res. Methodol. 2013, 13, 117. [Google Scholar] [CrossRef] [Green Version]
  24. Glaser, B.G.; Strauss, A.L. The Discovery of Grounded Theory; Routledge: New York, NY, USA, 2017. [Google Scholar]
  25. Lim, S.S.; Vos, T.; Flaxman, A.D.; Danaei, G.; Shibuya, K.; Adair-Rohani, H.; Amann, M.; Anderson, H.R.; Andrews, K.G.; Aryee, M.; et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: A systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012, 380, 2224–2260. [Google Scholar] [CrossRef] [Green Version]
  26. Lozano, R.; Naghavi, M.; Foreman, K.; Lim, S.; Shibuya, K.; Aboyans, V.; Abraham, J.; Adair, T.; Aggarwal, R.; Ahn, S.Y.; et al. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: A systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012, 380, 2095–2128. [Google Scholar] [CrossRef]
  27. Fielding, R.A.; Rejeski, W.J.; Blair, S.; Church, T.; Espeland, M.A.; Gill, T.M.; Guralnik, J.M.; Hsu, F.C.; Katula, J.; King, A.C.; et al. The Lifestyle Interventions and Independence for Elders Study: Design and methods. J. Gerontol. A Biol. Sci. Med. Sci. 2011, 66, 1226–1237. [Google Scholar] [CrossRef]
  28. Marsh, A.P.; Lovato, L.C.; Glynn, N.W.; Kennedy, K.; Castro, C.; Domanchuk, K.; McDavitt, E.; Rodate, R.; Marsiske, M.; McGloin, J.; et al. Lifestyle interventions and independence for elders study: Recruitment and baseline characteristics. J. Gerontol. A Biol. Sci. Med. Sci. 2013, 68, 1549–1558. [Google Scholar] [CrossRef]
  29. StataCorp, L. Stata Statistical Software: Release 15; StataCorp LLC.: College Station, TX, USA, 2017; Available online: www.stata.com/features/documentation/ (accessed on 1 March 2018).
  30. Saunders, B.; Sim, J.; Kingstone, T.; Baker, S.; Waterfield, J.; Bartlam, B.; Burroughs, H.; Jinks, C. Saturation in qualitative research: Exploring its conceptualization and operationalization. Qual. Quant. 2018, 52, 1893–1907. [Google Scholar] [CrossRef]
  31. Humblet, M.-F.; Boschiroli, M.L.; Saegerman, C. Classification of worldwide bovine tuberculosis risk factors in cattle: A stratified approach. Vet. Res. 2009, 40, 50. [Google Scholar] [CrossRef] [Green Version]
  32. Hesse, B.W.; Nelson, D.E.; Kreps, G.L.; Croyle, R.T.; Arora, N.K.; Rimer, B.K.; Viswanath, K. Trust and sources of health information: The impact of the Internet and its implications for health care providers: Findings from the first Health Information National Trends Survey. Arch. Intern. Med. 2005, 165, 2618–2624. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Hogan, M.C.; Foreman, K.J.; Naghavi, M.; Ahn, S.Y.; Wang, M.; Makela, S.M.; Lopez, A.D.; Lozano, R.; Murray, C.J.L. Maternal mortality for 181 countries, 1980–2008: A systematic analysis of progress towards Millennium Development Goal 5. Lancet 2010, 375, 1609–1623. [Google Scholar] [CrossRef]
  34. Parkin, D.M.; Bray, F.; Ferlay, J.; Pisani, P. Global cancer statistics, 2002. CA Cancer J. Clin. 2005, 55, 74–108. [Google Scholar] [CrossRef] [PubMed]
  35. Ogden, C.L.; Carroll, M.D.; Curtin, L.R.; Lamb, M.M.; Flegal, K.M. Prevalence of high body mass index in US children and adolescents, 2007–2008. JAMA 2010, 303, 242–249. [Google Scholar] [CrossRef] [Green Version]
  36. Osborne, R.H.; Elsworth, G.R.; Whitfield, K. The Health Education Impact Questionnaire (heiQ): An outcomes and evaluation measure for patient education and self-management interventions for people with chronic conditions. Patient Educ. Couns. 2007, 66, 192–201. [Google Scholar] [CrossRef]
  37. Schulz, K.F.; Altman, D.G.; Moher, D. CONSORT 2010 statement: Updated guidelines for reporting parallel group randomized trials. Ann. Intern. Med. 2010, 152, 726–732. [Google Scholar] [CrossRef] [Green Version]
  38. Vaismoradi, M.; Turunen, H.; Bondas, T. Content analysis and thematic analysis: Implications for conducting a qualitative descriptive study. Nurs. Health Sci. 2013, 15, 398–405. [Google Scholar] [CrossRef]
  39. World Health Organization. In Public Health Agency of Canada. Preventing Chronic Diseases: A Vital Investment; World Health Organization: Geneva, Switzerland, 2005.
  40. Ferlay, J.; Shin, H.R.; Bray, F.; Forman, D.; Mathers, C.; Parkin, D.M. Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008. Int. J. Cancer 2010, 127, 2893–2917. [Google Scholar] [CrossRef]
  41. Pahor, M.; Blair, S.N.; Espeland, M.; Fielding, R.; Gill, T.M.; Guralnik, J.M.; Hadley, E.C.; King, A.C.; Kritchevsky, S.B.; Maraldi, C.; et al. Effects of a physical activity intervention on measures of physical performance: Results of the lifestyle interventions and independence for Elders Pilot (LIFE-P) study. J. Gerontol. A Biol. Sci. Med. Sci. 2006, 61, 1157–1165. [Google Scholar]
  42. Colley, D.G.; Bustinduy, A.L.; Secor, W.E.; King, C.H. Human schistosomiasis. Lancet 2014, 383, 2253–2264. [Google Scholar] [CrossRef]
  43. Steinmann, P.; Keiser, J.; Bos, R.; Tanner, M.; Utzinger, J. Schistosomiasis and water resources development: Systematic review, meta-analysis, and estimates of people at risk. Lancet Infect. Dis. 2006, 6, 411–425. [Google Scholar] [CrossRef]
  44. Smits, H.L. Prospects for the control of neglected tropical diseases by mass drug administration. Expert Rev. Anti. Infect. Ther. 2009, 7, 37–56. [Google Scholar] [CrossRef] [Green Version]
  45. Bray, F.; Ferlay, J.; Soerjomataram, I.; Siegel, R.L.; Torre, L.A.; Jemal, A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 2018, 68, 394–424. [Google Scholar] [CrossRef] [Green Version]
  46. Bethony, J.; Brooker, S.; Albonico, M.; Geiger, S.M.; Loukas, A.; Diemert, D.; Hotez, P.J. Soil-transmitted helminth infections: Ascariasis, trichuriasis, and hookworm. Lancet 2006, 367, 1521–1532. [Google Scholar] [CrossRef]
  47. Utzinger, J.; Raso, G.; Brooker, S.; De Savigny, D.; Tanner, M.; Ornbjerg, N.; Singer, B.H.; N’Goran, E.K. Schistosomiasis and neglected tropical diseases: Towards integrated and sustainable control and a word of caution. Parasitology 2009, 136, 1859–1874. [Google Scholar] [CrossRef] [Green Version]
  48. Strunz, E.C.; Addiss, D.G.; Stocks, M.E.; Ogden, S.; Utzinger, J.; Freeman, M.C. Water, sanitation, hygiene, and soil-transmitted helminth infection: A systematic review and meta-analysis. PLoS Med. 2014, 11, e1001620. [Google Scholar] [CrossRef] [Green Version]
  49. Battat, R.; Seidman, G.; Chadi, N.; Chanda, M.Y.; Nehme, J.; Hulme, J.; Li, A.; Faridi, N.; Brewer, T.F. Global health competencies and approaches in medical education: A literature review. BMC Med. Educ. 2010, 10, 94. [Google Scholar] [CrossRef] [Green Version]
  50. Crump, J.A.; Sugarman, J. Ethics and best practice guidelines for training experiences in global health. Am. J. Trop. Med. Hyg. 2010, 83, 1178–1182. [Google Scholar] [CrossRef] [Green Version]
  51. Drain, P.K.; Primack, A.; Hunt, D.D.; Fawzi, W.W.; Holmes, K.K.; Gardner, P. Global health in medical education: A call for more training and opportunities. Acad. Med. 2007, 82, 226–230. [Google Scholar] [CrossRef]
  52. Patton, G.C.; Sawyer, S.M.; Santelli, J.S.; Ross, D.A.; Afifi, R.; Allen, N.B.; Arora, M.; Azzopardi, P.; Baldwin, W.; Bonell, C.; et al. Our future: A Lancet commission on adolescent health and wellbeing. Lancet 2016, 387, 2423–2478. [Google Scholar] [CrossRef] [Green Version]
  53. Chobanian, A.V.; Bakris, G.L.; Black, H.R.; Cushman, W.C.; Green, L.A.; Izzo, J.L., Jr.; Jones, D.W.; Materson, B.J.; Oparil, S.; Wright, J.T., Jr.; et al. Seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. Hypertension 2003, 42, 1206–1252. [Google Scholar] [CrossRef] [Green Version]
  54. Wild, S.; Roglic, G.; Green, A.; Sicree, R.; King, H. Global prevalence of diabetes: Estimates for the year 2000 and projections for 2030. Diabetes Care 2004, 27, 1047–1053. [Google Scholar] [CrossRef] [Green Version]
  55. Chen, C.M.; Hu, Z.G.; Liu, S.B.; Tseng, H. Emerging trends in regenerative medicine: A scientometric analysis in CiteSpace. Expert Opin. Biol. Ther. 2012, 12, 593–608. [Google Scholar] [CrossRef] [PubMed]
  56. Murray, C.J.; Vos, T.; Lozano, R.; Naghavi, M.; Flaxman, A.D.; Michaud, C.; Ezzati, M.; Shibuya, K.; Salomon, J.A.; Abdalla, S. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990–2010: A systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012, 380, 2197–2223. [Google Scholar] [CrossRef]
  57. Guo, H. Measurement of Emerging Research Field Identification: Theory, Indicators and Examples; Science Press: Beijing, China, 2017. [Google Scholar]
  58. Al-Hanawi, M.K.; Angawi, K.; Alshareef, N.; Qattan, A.M.N.; Helmy, H.Z.; Abudawood, Y.; Alqurashi, M.; Kattan, W.M.; Kadasah, N.A.; Chirwa, G.C.; et al. Knowledge, Attitude and Practice Toward COVID-19 Among the Public in the Kingdom of Saudi Arabia: A Cross-Sectional Study. Front. Public Health 2020, 8, 217. [Google Scholar] [CrossRef] [PubMed]
  59. Abdelhafiz, A.S.; Mohammed, Z.; Ibrahim, M.E.; Ziady, H.H.; Alorabi, M.; Ayyad, M.; Sultan, E.A. Knowledge, Perceptions, and Attitude of Egyptians Towards the Novel Coronavirus Disease (COVID-19). J. Community Health 2020, 45, 881–890. [Google Scholar] [CrossRef]
  60. Azlan, A.A.; Hamzah, M.R.; Sern, T.J.; Ayub, S.H.; Mohamad, E. Public knowledge, attitudes and practices towards COVID-19: A cross-sectional study in Malaysia. PLoS ONE 2020, 15, e0233668. [Google Scholar] [CrossRef]
  61. Huang, C.; Wang, Y.; Li, X.; Ren, L.; Zhao, J.; Hu, Y.; Zhang, L.; Fan, G.; Xu, J.; Gu, X.; et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 2020, 395, 497–506. [Google Scholar] [CrossRef] [Green Version]
  62. Sorensen, K.; Pelikan, J.M.; Rothlin, F.; Ganahl, K.; Slonska, Z.; Doyle, G.; Fullam, J.; Kondilis, B.; Agrafiotis, D.; Uiters, E.; et al. Health literacy in Europe: Comparative results of the European health literacy survey (HLS-EU). Eur. J. Public Health 2015, 25, 1053–1058. [Google Scholar] [CrossRef] [Green Version]
  63. Zhu, N.; Zhang, D.; Wang, W.; Li, X.; Yang, B.; Song, J.; Zhao, X.; Huang, B.; Shi, W.; Lu, R.; et al. A Novel Coronavirus from Patients with Pneumonia in China, 2019. N. Engl. J. Med. 2020, 382, 727–733. [Google Scholar] [CrossRef]
  64. Victora, C.G.; Bahl, R.; Barros, A.J.; França, G.V.; Horton, S.; Krasevec, J.; Murch, S.; Sankar, M.J.; Walker, N.; Rollins, N.C. Breastfeeding in the 21st century: Epidemiology, mechanisms, and lifelong effect. Lancet 2016, 387, 475–490. [Google Scholar] [CrossRef] [Green Version]
  65. Wolf, M.S.; Serper, M.; Opsasnick, L.; O’Conor, R.M.; Curtis, L.; Benavente, J.Y.; Wismer, G.; Batio, S.; Eifler, M.; Zheng, P.; et al. Awareness, Attitudes, and Actions Related to COVID-19 Among Adults With Chronic Conditions at the Onset of the U.S. Outbreak: A Cross-sectional Survey. Ann. Intern. Med. 2020, 173, 100–109. [Google Scholar] [CrossRef] [Green Version]
  66. Peres, M.; Macpherson, L.; Weyant, R.; Daly, B.; Venturelli, R.; Mathur, M.; Lislt, S.; Celeste, R.K.; Guarnizo-Herreño, C.C.; Kearns, C.; et al. Oral diseases: A global public health challenge. Lancet 2019, 394, 249–260. [Google Scholar] [CrossRef]
  67. UN Transforming Our World: The 2030 Agenda for Sustainable Development. Available online: https://www.un.org/ga/search/view_doc.asp?symbol=A/RES/70/1&Lang=E (accessed on 5 January 2022).
  68. Zhang, X.; Wen, D.; Liang, J.; Lei, J. How the public uses social media wechat to obtain health information in china: A survey study. BMC Med. Inform. Decis. Mak. 2017, 17 (Suppl. 2), 66. [Google Scholar] [CrossRef]
  69. Bai, Y.; Yao, L.; Wei, T.; Tian, F.; Jin, D.Y.; Chen, L.; Wang, M. Presumed Asymptomatic Carrier Transmission of COVID-19. JAMA 2020, 323, 1406–1407. [Google Scholar] [CrossRef] [Green Version]
  70. Sohrabi, C.; Alsafi, Z.; O’Neill, N.; Khan, M.; Kerwan, A.; Al-Jabir, A.; Iosifidis, C.; Agha, R. World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19). Int. J. Surg. 2020, 76, 71–76. [Google Scholar] [CrossRef]
  71. Zhang, J.; Lin, S.; Liang, D.; Qian, Y.; Zhang, D.; Hou, Z. Public Health Services Utilization and Its Determinants among Internal Migrants in China: Evidence from a Nationally Representative Survey. Int. J. Environ. Res. Public Health 2017, 14, 1002. [Google Scholar] [CrossRef] [Green Version]
  72. Wang, Z.; Chen, Z.; Zhang, L.; Wang, X.; Hao, G.; Zhang, Z.; Shao, L.; Tian, Y.; Dong, Y.; Zheng, C.; et al. Status of Hypertension in China: Results From the China Hypertension Survey, 2012–2015. Circulation 2018, 137, 2344–2356. [Google Scholar] [CrossRef]
  73. Say, L.; Chou, D.; Gemmill, A.; Tunçalp, Ö.; Moller, A.B.; Daniels, J.; Gülmezoglu, A.M.; Temmerman, M.; Alkema, L. Global causes of maternal death: A WHO systematic analysis. Lancet Glob. Health 2014, 2, e323–e333. [Google Scholar] [CrossRef] [Green Version]
  74. Kassebaum, N.J.; Smith, A.G.C.; Bernabé, E.; Fleming, T.D.; Reynolds, A.E.; Vos, T.; Murray, C.J.L.; Marcenes, W. Global, Regional, and National Prevalence, Incidence, and Disability-Adjusted Life Years for Oral Conditions for 195 Countries, 1990–2015: A Systematic Analysis for the Global Burden of Diseases, Injuries, and Risk Factors. J. Dent. Res. 2017, 96, 380–387. [Google Scholar] [CrossRef]
  75. Chen, W.; Zheng, R.; Baade, P.D.; Zhang, S.; Zeng, H.; Bray, F.; Jemal, A.; Yu, X.Q.; He, J. Cancer statistics in China, 2015. CA Cancer J. Clin. 2016, 66, 115–132. [Google Scholar] [CrossRef] [Green Version]
  76. World Health Organization. The World Health Report 2001: Mental Health: New Understanding, New Hope; World Health Organization: Geneva, Switzerland, 2001. [Google Scholar]
  77. Woodward, A.; Kawachi, I. Why reduce health inequalities? J. Epidemiol. Community Health 2000, 54, 923–929. [Google Scholar] [CrossRef]
  78. Blinken, A.J.; Becerra, X. Strengthening Global Health Security and Reforming the International Health Regulations: Making the World Safer From Future Pandemics. JAMA 2021, 326, 1255–1256. [Google Scholar] [CrossRef]
  79. Lal, A.; Erondu, N.A.; Heymann, D.L.; Gitahi, G.; Yates, R. Fragmented health systems in COVID-19: Rectifying the misalignment between global health security and universal health coverage. Lancet 2021, 397, 61–67. [Google Scholar] [CrossRef]
  80. Tamirat, K.S.; Sisay, M.M. Full immunization coverage and its associated factors among children aged 12–23 months in Ethiopia: Further analysis from the 2016 Ethiopia demographic and health survey. BMC Public Health 2019, 19, 1019. [Google Scholar] [CrossRef]
  81. Hussain, S.; Nasare, V.; Kumari, M.; Sharma, S.; Khan, M.A.; Das, B.C.; Bharadwaj, M. Perception of human papillomavirus infection, cervical cancer and HPV vaccination in North Indian population. PLoS ONE 2014, 9, e112861. [Google Scholar] [CrossRef] [PubMed]
  82. Uğurlu, M.; Karahan, N. Sexual health knowledge and influencing factors among health science students at a state university in Turkey. Eur. J. Contracept. Reprod. Health Care 2022, 27, 75–82. [Google Scholar] [CrossRef]
  83. Zou, S.; Cao, W.; Jia, Y.; Wang, Z.; Qi, X.; Shen, J.; Tang, K. Sexual and reproductive health and attitudes towards sex of young adults in China. BMJ Sex. Reprod. Health 2022, 48, e13–e21. [Google Scholar] [CrossRef]
  84. Pound, P.; Langford, R.; Campbell, R. What do young people think about their school-based sex and relationship education? A qualitative synthesis of young people’s views and experiences. BMJ Open 2016, 6, e011329. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  85. Wheldon, C.W.; Daley, E.M.; Buhi, E.R.; Nyitray, A.G.; Giuliano, A.R. Health beliefs and attitudes associated with HPV vaccine intention among young gay and bisexual men in the Southeastern United States. Vaccine 2011, 29, 8060–8065. [Google Scholar] [CrossRef]
  86. Ma, X.; Yang, Y.; Chow, K.M.; Zang, Y. Chinese adolescents’ sexual and reproductive health education: A quasi-experimental study. Public Health Nurs. 2022, 39, 116–125. [Google Scholar] [CrossRef] [PubMed]
  87. Markham, C.M.; Tortolero, S.R.; Peskin, M.F.; Shegog, R.; Thiel, M.; Baumler, E.R.; Addy, R.C.; Escobar-Chaves, S.L.; Reininger, B.; Robin, L. Sexual risk avoidance and sexual risk reduction interventions for middle school youth: A randomized controlled trial. J. Adolesc. Health 2012, 50, 279–288. [Google Scholar] [CrossRef] [Green Version]
  88. Stern, J.; Larsson, M.; Kristiansson, P.; Tydén, T. Introducing reproductive life plan-based information in contraceptive counselling: An RCT. Hum. Reprod. 2013, 28, 2450–2461. [Google Scholar] [CrossRef]
  89. Ayalew, Y.; Mulat, A.; Dile, M.; Simegn, A. Women’s knowledge and associated factors in preconception care in Adet, West Gojjam, Northwest Ethiopia: A community based cross sectional study. Reprod. Health 2017, 14, 15. [Google Scholar] [CrossRef] [Green Version]
  90. Edwards, M.; Wood, F.; Davies, M.; Edwards, A. ‘Distributed health literacy’: Longitudinal qualitative analysis of the roles of health literacy mediators and social networks of people living with a long-term health condition. Health Expect. 2015, 18, 1180–1193. [Google Scholar] [CrossRef] [Green Version]
  91. Bethell, C.D.; Carle, A.; Hudziak, J.; Gombojav, N.; Powers, K.; Wade, R.; Braveman, P. Methods to Assess Adverse Childhood Experiences of Children and Families: Toward Approaches to Promote Child Well-being in Policy and Practice. Acad. Pediatr. 2017, 17, S51–S69. [Google Scholar] [CrossRef] [Green Version]
  92. Kann, L.; McManus, T.; Harris, W.A.; Shanklin, S.L.; Flint, K.H.; Queen, B.; Lowry, R.; Chyen, D.; Whittle, L.; Thornton, J.; et al. Youth Risk Behavior Surveillance—United States, 2017. MMWR Surveill. Summ. 2018, 67, 1–114. [Google Scholar] [CrossRef]
  93. Kann, L.; Olsen, E.O.; McManus, T.; Harris, W.A.; Shanklin, S.L.; Flint, K.H.; Queen, B.; Lowry, R.; Chyen, D.; Whittle, L.; et al. Sexual Identity, Sex of Sexual Contacts, and Health-Related Behaviors Among Students in Grades 9–12—United States and Selected Sites, 2015. MMWR Surveill. Summ. 2016, 65, 1–202. [Google Scholar] [CrossRef]
  94. Sibinga, E.M.; Perry-Parrish, C.; Chung, S.E.; Johnson, S.B.; Smith, M.; Ellen, J.M. School-based mindfulness instruction for urban male youth: A small randomized controlled trial. Prev. Med. 2013, 57, 799–801. [Google Scholar] [CrossRef]
  95. Aminde, L.N.; Takah, N.; Ngwasiri, C.; Noubiap, J.J.; Tindong, M.; Dzudie, A.; Veerman, J.L. Population awareness of cardiovascular disease and its risk factors in Buea, Cameroon. BMC Public Health 2017, 17, 545. [Google Scholar] [CrossRef] [Green Version]
  96. Kassahun, T.; Gesesew, H.; Mwanri, L.; Eshetie, T. Diabetes related knowledge, self-care behaviours and adherence to medications among diabetic patients in Southwest Ethiopia: A cross-sectional survey. BMC Endocr. Disord. 2016, 16, 28. [Google Scholar] [CrossRef] [Green Version]
  97. Blanson Henkemans, O.A.; Bierman, B.P.; Janssen, J.; Neerincx, M.A.; Looije, R.; van der Bosch, H.; van der Giessen, J.A. Using a robot to personalise health education for children with diabetes type 1: A pilot study. Patient Educ. Couns. 2013, 92, 174–181. [Google Scholar] [CrossRef]
  98. Khan, A.; Naz, K.; Ahmed, H.; Simsek, S.; Afzal, M.S.; Haider, W.; Ahmad, S.S.; Farrakh, S.; Weiping, W.; Yayi, G. Knowledge, attitudes and practices related to cystic echinococcosis endemicity in Pakistan. Infect. Dis. Poverty 2018, 7, 4. [Google Scholar] [CrossRef] [Green Version]
  99. Dawaki, S.; Al-Mekhlafi, H.M.; Ithoi, I.; Ibrahim, J.; Abdulsalam, A.M.; Ahmed, A.; Sady, H.; Nasr, N.A.; Atroosh, W.M. The menace of schistosomiasis in Nigeria: Knowledge, attitude, and practices regarding schistosomiasis among rural communities in Kano state. PLoS ONE 2015, 10, e0143667. [Google Scholar] [CrossRef]
  100. Nathan, P.C.; Hayes-Lattin, B.; Sisler, J.J.; Hudson, M.M. Critical issues in transition and survivorship for adolescents and young adults with cancers. Cancer 2011, 117 (Suppl. 10), 2335–2341. [Google Scholar] [CrossRef]
  101. Abiodun, O.A.; Olu-Abiodun, O.O.; Sotunsa, J.O.; Oluwole, F.A. Impact of health education intervention on knowledge and perception of cervical cancer and cervical screening uptake among adult women in rural communities in Nigeria. BMC Public Health 2014, 14, 814. [Google Scholar] [CrossRef] [Green Version]
  102. Rogers, P.P.; Jalal, K.F.; Boyd, J.A. An Introduction to Sustainable Development; Routledge: London, UK, 2012. [Google Scholar]
  103. Glanz, K.R.B.K.V.K. Health Behavior and Health Education: Theory, Research, and Practice; Jossey-Bass: San Francisco, CA, USA, 2008. [Google Scholar]
  104. Jia, T.W.; Melville, S.; Utzinger, J.; King, C.H.; Zhou, X.N. Soil-transmitted helminth reinfection after drug treatment: A systematic review and meta-analysis. PLoS Negl. Trop. Dis. 2012, 6, e1621. [Google Scholar] [CrossRef] [Green Version]
  105. Patton, G.C.; Coffey, C.; Cappa, C.; Currie, D.; Riley, L.; Gore, F.; Degenhardt, L.; Richardson, D.; Astone, N.; Sangowawa, A.O.; et al. Health of the world’s adolescents: A synthesis of internationally comparable data. Lancet 2012, 379, 1665–1675. [Google Scholar] [CrossRef]
  106. Hallal, P.C.; Andersen, L.B.; Bull, F.C.; Guthold, R.; Haskell, W.; Ekelund, U. Global physical activity levels: Surveillance progress, pitfalls, and prospects. Lancet 2012, 380, 247–257. [Google Scholar] [CrossRef]
  107. Bandura, A. Health promotion by social cognitive means. Health Educ. Behav. 2004, 31, 143–164. [Google Scholar] [CrossRef]
  108. Hsieh, H.F.; Shannon, S.E. Three approaches to qualitative content analysis. Qual. Health Res. 2005, 15, 1277–1288. [Google Scholar] [CrossRef] [PubMed]
  109. Beltrán-Aguilar, E.D.; Barker, L.K.; Canto, M.T.; Dye, B.A.; Gooch, B.F.; Griffin, S.O.; Hyman, J.; Jaramillo, F.; Kingman, A.; Nowjack-Raymer, R.; et al. Surveillance for dental caries, dental sealants, tooth retention, edentulism, and enamel fluorosis--United States, 1988–1994 and 1999–2002. MMWR Surveill. Summ. 2005, 54, 1–43. [Google Scholar] [PubMed]
  110. Deakin, T.; McShane, C.E.; Cade, J.E.; Williams, R.D. Group based training for self-management strategies in people with type 2 diabetes mellitus. Cochrane Database Syst. Rev. 2005, Cd003417. [Google Scholar] [CrossRef]
  111. Mathers, C.D.; Loncar, D. Projections of Global Mortality and Burden of Disease from 2002 to 2030. PLoS Med. 2006, 3, e442. [Google Scholar] [CrossRef] [Green Version]
  112. Weinstein, P.; Harrison, R.; Benton, T. Motivating mothers to prevent caries: Confirming the beneficial effect of counseling. J. Am. Dent. Assoc. 2006, 137, 789–793. [Google Scholar] [CrossRef]
  113. Lopez, A.D.; Mathers, C.D.; Ezzati, M.; Jamison, D.T.; Murray, C.J. Global and regional burden of disease and risk factors, 2001: Systematic analysis of population health data. Lancet 2006, 367, 1747–1757. [Google Scholar] [CrossRef]
  114. Haskell, W.L.; Lee, I.M.; Pate, R.R.; Powell, K.E.; Blair, S.N.; Franklin, B.A.; Macera, C.A.; Heath, G.W.; Thompson, P.D.; Bauman, A. Physical activity and public health: Updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Med. Sci. Sports Exerc. 2007, 39, 1423–1434. [Google Scholar] [CrossRef] [Green Version]
  115. Nolte, S.; Elsworth, G.R.; Sinclair, A.J.; Osborne, R.H. The extent and breadth of benefits from participating in chronic disease self-management courses: A national patient-reported outcomes survey. Patient Educ. Couns. 2007, 65, 351–360. [Google Scholar] [CrossRef]
  116. Houpt, E.R.; Pearson, R.D.; Hall, T.L. Three domains of competency in global health education: Recommendations for all medical students. Acad. Med. 2007, 82, 222–225. [Google Scholar] [CrossRef]
  117. Markowitz, L.E.; Dunne, E.F.; Saraiya, M.; Lawson, H.W.; Chesson, H.; Unger, E.R. Quadrivalent Human Papillomavirus Vaccine: Recommendations of the Advisory Committee on Immunization Practices (ACIP). MMWR Recomm. Rep. 2007, 56, 1–24. [Google Scholar]
  118. Nutbeam, D. The evolving concept of health literacy. Soc. Sci. Med. 2008, 67, 2072–2078. [Google Scholar] [CrossRef]
  119. Rollnick, S.; Miller, W.R.; Butler, C. Motivational Interviewing in Health Care: Helping Patients Change Behavior; Guilford Press: New York, NY, USA, 2008. [Google Scholar]
  120. Wu, Y.; Huxley, R.; Li, L.; Anna, V.; Xie, G.; Yao, C.; Woodward, M.; Li, X.; Chalmers, J.; Gao, R. Prevalence, awareness, treatment, and control of hypertension in China: Data from the China National Nutrition and Health Survey 2002. Circulation 2008, 118, 2679–2686. [Google Scholar] [CrossRef] [Green Version]
  121. Izadnegahdar, R.; Correia, S.; Ohata, B.; Kittler, A.; ter Kuile, S.; Vaillancourt, S.; Saba, N.; Brewer, T.F. Global health in Canadian medical education: Current practices and opportunities. Acad. Med. 2008, 83, 192–198. [Google Scholar] [CrossRef] [Green Version]
  122. Keiser, J.; Utzinger, J. Efficacy of Current Drugs Against Soil-Transmitted Helminth Infections: Systematic Review and Meta-analysis. JAMA 2008, 299, 1937–1948. [Google Scholar] [CrossRef]
  123. Elo, S.; Kyngäs, H. The qualitative content analysis process. J. Adv. Nurs. 2008, 62, 107–115. [Google Scholar] [CrossRef]
  124. Simkhada, B.; Teijlingen, E.R.V.; Porter, M.; Simkhada, P. Factors affecting the utilization of antenatal care in developing countries: Systematic review of the literature. J. Adv. Nurs. 2008, 61, 244–260. [Google Scholar] [CrossRef]
  125. Hotez, P.J.; Kamath, A. Neglected Tropical Diseases in Sub-Saharan Africa: Review of Their Prevalence, Distribution, and Disease Burden. PLoS Negl. Trop. Dis. 2009, 3, e412. [Google Scholar] [CrossRef] [Green Version]
  126. Yevlahova, D.; Satur, J. Models for individual oral health promotion and their effectiveness: A systematic review. Aust. Dent. J. 2009, 54, 190–197. [Google Scholar] [CrossRef]
  127. Harris, P.A.; Taylor, R.; Thielke, R.; Payne, J.; Gonzalez, N.; Conde, J.G. Research electronic data capture (REDCap)—A metadata-driven methodology and workflow process for providing translational research informatics support. J. Biomed. Inform. 2009, 42, 377–381. [Google Scholar] [CrossRef] [Green Version]
  128. Teuschl, Y.; Brainin, M. Stroke education: Discrepancies among factors influencing prehospital delay and stroke knowledge. Int. J. Stroke 2010, 5, 187–208. [Google Scholar] [CrossRef]
  129. World Health Organization. Framework for Action on Interprofessional Education and Collaborative Practice; World Health Organization: Geneva, Switzerland, 2010. [Google Scholar]
  130. Eaton, D.K.; Kann, L.; Kinchen, S.; Shanklin, S.; Ross, J.; Hawkins, J.; Harris, W.A.; Lowry, R.; McManus, T.; Chyen, D.; et al. Youth risk behavior surveillance—United States, 2009. MMWR Surveill. Summ. 2010, 59, 1–142. [Google Scholar]
  131. Wakefield, M.A.; Loken, B.; Hornik, R.C. Use of mass media campaigns to change health behaviour. Lancet 2010, 376, 1261–1271. [Google Scholar] [CrossRef] [Green Version]
  132. Berkman, N.D.; Sheridan, S.L.; Donahue, K.E.; Halpern, D.J.; Crotty, K. Low Health Literacy and Health Outcomes: An Updated Systematic Review. Ann. Intern. Med. 2011, 155, 97–107. [Google Scholar] [CrossRef] [PubMed]
  133. Lee, P.H.; Macfarlane, D.J.; Lam, T.H.; Stewart, S.M. Validity of the international physical activity questionnaire short form (IPAQ-SF): A systematic review. Int. J. Behav. Nutr. Phys. Act. 2011, 8, 115. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  134. Panel, I. Interprofessional education collaborative expert panel. In Core Competencies for Interprofessional Collaborative Practice: Report of an Expert Panel; Interprofessional Education Collaborative: Washington, DC, USA, 2011. [Google Scholar]
  135. Statistical, S. Software: Release 12; StataCorp LP.: College Station, TX, USA, 2011. [Google Scholar]
  136. Erickson, K.I.; Voss, M.W.; Prakash, R.S.; Basak, C.; Szabo, A.; Chaddock, L.; Kim, J.S.; Heo, S.; Alves, H.; White, S.M.; et al. Exercise training increases size of hippocampus and improves memory. Proc. Natl. Acad. Sci. USA 2011, 108, 3017–3022. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  137. Ngui, R.; Ishak, S.; Chuen, C.S.; Mahmud, R.; Lim, Y.A.L. Prevalence and Risk Factors of Intestinal Parasitism in Rural and Remote West Malaysia. PLoS Negl. Trop. Dis. 2011, 5, e974. [Google Scholar] [CrossRef]
  138. Adams, L.V.; Wagner, C.M.; Nutt, C.T.; Binagwaho, A. The future of global health education: Training for equity in global health. BMC Med. Educ. 2016, 16, 296. [Google Scholar] [CrossRef] [Green Version]
  139. Polit, D.F.; Beck, C.T. Fundamentos de Pesquisa em Enfermagem: Avaliação de Evidências Para a Prática da Enfermagem; Artmed Editora: Porto Alegre, Brazil, 2011. [Google Scholar]
  140. Osborne, R.H.; Batterham, R.; Livingston, J. The Evaluation of Chronic Disease Self-Management Support Across Settings: The International Experience of the Health Education Impact Questionnaire Quality Monitoring System. Nurs. Clin. North Am. 2011, 46, 255–270. [Google Scholar] [CrossRef]
  141. Whiting, D.R.; Guariguata, L.; Weil, C.; Shaw, J. IDF diabetes atlas: Global estimates of the prevalence of diabetes for 2011 and 2030. Diabetes Res. Clin. Pract. 2011, 94, 311–321. [Google Scholar] [CrossRef]
  142. Mendis, S.; Puska, P.; Norrving, B.E.; World Health Organization. Global Atlas on Cardiovascular Disease Prevention and Control; World Health Organization: Geneva, Switzerland, 2011. [Google Scholar]
  143. Studenski, S.; Perera, S.; Patel, K.; Rosano, C.; Faulkner, K.; Inzitari, M.; Brach, J.; Chandler, J.; Cawthon, P.; Connor, E.B.; et al. Gait Speed and Survival in Older Adults. JAMA 2011, 305, 50–58. [Google Scholar] [CrossRef] [Green Version]
  144. Lee, I.-M.; Shiroma, E.J.; Lobelo, F.; Puska, P.; Blair, S.N.; Katzmarzyk, P.T.; Group, L.P.A.S.W. Effect of physical inactivity on major non-communicable diseases worldwide: An analysis of burden of disease and life expectancy. Lancet 2012, 380, 219–229. [Google Scholar] [CrossRef] [Green Version]
  145. Ziegelbauer, K.; Speich, B.; Mäusezahl, D.; Bos, R.; Keiser, J.; Utzinger, J. Effect of Sanitation on Soil-Transmitted Helminth Infection: Systematic Review and Meta-Analysis. PLoS Med. 2012, 9, e1001162. [Google Scholar] [CrossRef] [Green Version]
  146. Peluso, M.J.; Encandela, J.; Hafler, J.P.; Margolis, C.Z. Guiding principles for the development of global health education curricula in undergraduate medical education. Med. Teach. 2012, 34, 653–658. [Google Scholar] [CrossRef]
  147. Sabatino, S.A.; Lawrence, B.; Elder, R.; Mercer, S.L.; Wilson, K.M.; DeVinney, B.; Melillo, S.; Carvalho, M.; Taplin, S.; Bastani, R. Effectiveness of interventions to increase screening for breast, cervical, and colorectal cancers: Nine updated systematic reviews for the guide to community preventive services. Am. J. Prev. Med. 2012, 43, 97–118. [Google Scholar] [CrossRef]
  148. Yau, J.W.Y.; Rogers, S.L.; Kawasaki, R.; Lamoureux, E.L.; Kowalski, J.W.; Bek, T.; Chen, S.-J.; Dekker, J.M.; Fletcher, A.; Grauslund, J.; et al. Global Prevalence and Major Risk Factors of Diabetic Retinopathy. Diabetes Care 2012, 35, 556–564. [Google Scholar] [CrossRef] [Green Version]
  149. Polit, D.F.; Beck, C.T. Nursing Research: Generating and Assessing Evidence for Nursing Practice, 9th ed.; Lippincott Williams & Wilkins: Philadelphia, PA, USA, 2012. [Google Scholar]
  150. Ogden, C.L.; Carroll, M.D.; Kit, B.K.; Flegal, K.M. Prevalence of Obesity and Trends in Body Mass Index Among US Children and Adolescents, 1999–2010. JAMA 2012, 307, 483–490. [Google Scholar] [CrossRef] [Green Version]
  151. World Health Organization. Oral Health Surveys: Basic Methods; World Health Organization: Geneva, Switzerland, 2013. [Google Scholar]
  152. World Health Organization. World Malaria Report 2013; World Health Organization: Geneva, Switzerland, 2013. [Google Scholar]
  153. American Psychiatric Association, D.; Association, A.P. Diagnostic and Statistical Manual of Mental Disorders: DSM-5; American Psychiatric Association: Washington, DC, USA, 2013; Volume 5. [Google Scholar]
  154. Schuler, M.; Musekamp, G.; Faller, H.; Ehlebracht-König, I.; Gutenbrunner, C.; Kirchhof, R.; Bengel, J.; Nolte, S.; Osborne, R.H.; Schwarze, M. Assessment of proximal outcomes of self-management programs: Translation and psychometric evaluation of a German version of the Health Education Impact Questionnaire (heiQ™). Qual. Life Res. 2013, 22, 1391–1403. [Google Scholar] [CrossRef] [Green Version]
  155. Gyorkos, T.W.; Maheu-Giroux, M.; Blouin, B.; Casapia, M. Impact of Health Education on Soil-Transmitted Helminth Infections in Schoolchildren of the Peruvian Amazon: A Cluster-Randomized Controlled Trial. PLoS Negl. Trop. Dis. 2013, 7, e2397. [Google Scholar] [CrossRef]
  156. Chan, A.-W.; Tetzlaff, J.M.; Altman, D.G.; Laupacis, A.; Gøtzsche, P.C.; Krleža-Jerić, K.; Hróbjartsson, A.; Mann, H.; Dickersin, K.; Berlin, J.A.; et al. SPIRIT 2013 Statement: Defining Standard Protocol Items for Clinical Trials. Ann. Intern. Med. 2013, 158, 200–207. [Google Scholar] [CrossRef] [Green Version]
  157. Marcenes, W.; Kassebaum, N.J.; Bernabé, E.; Flaxman, A.; Naghavi, M.; Lopez, A.; Murray, C.J. Global burden of oral conditions in 1990–2010: A systematic analysis. J. Dent. Res. 2013, 92, 592–597. [Google Scholar] [CrossRef] [Green Version]
  158. World Health Organization Commission on the Social Determinants of Health (CSDH) Closing the Gap in a Generation: Health Equity through Action on the Social Determinants of Health. In Final Report of the Commission on Social Determinants of Health; World Health Organization: Geneva, Switzerland, 2008.
  159. Sady, H.; Al-Mekhlafi, H.M.; Mahdy, M.A.K.; Lim, Y.A.L.; Mahmud, R.; Surin, J. Prevalence and Associated Factors of Schistosomiasis among Children in Yemen: Implications for an Effective Control Programme. PLoS Negl. Trop. Dis. 2013, 7, e2377. [Google Scholar] [CrossRef] [Green Version]
  160. World Medical Association. World Medical Association Declaration of Helsinki: Ethical principles for medical research involving human subjects. JAMA 2013, 310, 2191–2194. [Google Scholar] [CrossRef] [Green Version]
  161. Cooper, A.M.; O’Malley, L.A.; Elison, S.N.; Armstrong, R.; Burnside, G.; Adair, P.; Dugdill, L.; Pine, C. Primary school-based behavioural interventions for preventing caries. Cochrane Database Syst. Rev. 2013, CD009378. [Google Scholar] [CrossRef]
  162. Xu, Y.; Wang, L.; He, J.; Bi, Y.; Li, M.; Wang, T.; Wang, L.; Jiang, Y.; Dai, M.; Lu, J.; et al. Prevalence and Control of Diabetes in Chinese Adults. JAMA 2013, 310, 948–959. [Google Scholar] [CrossRef]
  163. Nasr, N.A.; Al-Mekhlafi, H.M.; Ahmed, A.; Roslan, M.A.; Bulgiba, A. Towards an effective control programme of soil-transmitted helminth infections among Orang Asli in rural Malaysia. Part 2: Knowledge, attitude, and practices. Parasites Vectors 2013, 6, 28. [Google Scholar] [CrossRef] [Green Version]
  164. StataCorp, L. Stata Glossary and Index; Stata Press: College Station, TX, USA, 2013. [Google Scholar]
  165. Free, C.; Phillips, G.; Watson, L.; Galli, L.; Felix, L.; Edwards, P.; Patel, V.; Haines, A. The effectiveness of mobile-health technologies to improve health care service delivery processes: A systematic review and meta-analysis. PLoS Med. 2013, 10, e1001363. [Google Scholar] [CrossRef] [PubMed]
  166. Marinho, V.C.C.; Worthington, H.V.; Walsh, T.; Clarkson, J.E. Fluoride varnishes for preventing dental caries in children and adolescents. Cochrane Database Syst. Rev. 2013, CD002279. [Google Scholar] [CrossRef] [PubMed]
  167. Kann, L.; Kinchen, S.; Shanklin, S.L.; Flint, K.H.; Kawkins, J.; Harris, W.A.; Lowry, R.; Olsen, E.O.; McManus, T.; Chyen, D.; et al. Youth risk behavior surveillance—United States, 2013. MMWR Suppl. 2014, 63, 1–168. [Google Scholar] [PubMed]
  168. O’Brien, B.C.; Harris, I.B.; Beckman, T.J.; Reed, D.A.; Cook, D.A. Standards for Reporting Qualitative Research: A Synthesis of Recommendations. Acad. Med. 2014, 89, 1245–1251. [Google Scholar] [CrossRef]
  169. Ng, M.; Fleming, T.; Robinson, M.; Thomson, B.; Graetz, N.; Margono, C.; Mullany, E.C.; Biryukov, S.; Abbafati, C.; Abera, S.F.; et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: A systematic analysis for the Global Burden of Disease Study 2013. Lancet 2014, 384, 766–781. [Google Scholar] [CrossRef] [Green Version]
  170. Guariguata, L.; Whiting, D.R.; Hambleton, I.; Beagley, J.; Linnenkamp, U.; Shaw, J.E. Global estimates of diabetes prevalence for 2013 and projections for 2035. Diabetes Res. Clin. Pract. 2014, 103, 137–149. [Google Scholar] [CrossRef]
  171. Strauss, A.; Corbin, J. Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory (Mohammadi, Trans); Institute for Humanities And Cultural Studies: Tehran, Iran, 2014. [Google Scholar]
  172. Al-Delaimy, A.K.; Al-Mekhlafi, H.M.; Nasr, N.A.; Sady, H.; Atroosh, W.M.; Nashiry, M.; Anuar, T.S.; Moktar, N.; Lim, Y.A.L.; Mahmud, R. Epidemiology of Intestinal Polyparasitism among Orang Asli School Children in Rural Malaysia. PLoS Negl. Trop. Dis. 2014, 8, e3074. [Google Scholar] [CrossRef] [Green Version]
  173. Shamseer, L.; Moher, D.; Clarke, M.; Ghersi, D.; Liberati, A.; Petticrew, M.; Shekelle, P.; Stewart, L.A. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: Elaboration and explanation. BMJ 2015, 349, g7647. [Google Scholar] [CrossRef] [Green Version]
  174. Palinkas, L.A.; Horwitz, S.M.; Green, C.A.; Wisdom, J.P.; Duan, N.; Hoagwood, K. Purposeful Sampling for Qualitative Data Collection and Analysis in Mixed Method Implementation Research. Adm. Policy Ment. Health Ment. Health Serv. Res. 2015, 42, 533–544. [Google Scholar] [CrossRef] [Green Version]
  175. Moore, G.F.; Audrey, S.; Barker, M.; Bond, L.; Bonell, C.; Hardeman, W.; Moore, L.; O’Cathain, A.; Tinati, T.; Wight, D.; et al. Process evaluation of complex interventions: Medical Research Council guidance. BMJ Br. Med. J. 2015, 350, h1258. [Google Scholar] [CrossRef] [Green Version]
  176. Ngandu, T.; Lehtisalo, J.; Solomon, A.; Levälahti, E.; Ahtiluoto, S.; Antikainen, R.; Bäckman, L.; Hänninen, T.; Jula, A.; Laatikainen, T. A 2 year multidomain intervention of diet, exercise, cognitive training, and vascular risk monitoring versus control to prevent cognitive decline in at-risk elderly people (FINGER): A randomised controlled trial. Lancet 2015, 385, 2255–2263. [Google Scholar] [CrossRef]
  177. Mortality, G.B.D.; Causes of Death, C. Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990–2013: A systematic analysis for the Global Burden of Disease Study 2013. Lancet 2015, 385, 117–171. [Google Scholar]
  178. World Health Organization. Global action plan for the prevention and control of noncommunicable diseases 2013–2020. 2015. Available online: http://apps.who.int/iris/bitstream/10665/94384/1/9789241506236_eng.pdf (accessed on 24 July 2020).
  179. Kassebaum, N.J.; Bernabé, E.; Dahiya, M.; Bhandari, B.; Murray, C.J.; Marcenes, W. Global burden of untreated caries: A systematic review and metaregression. J. Dent. Res. 2015, 94, 650–658. [Google Scholar] [CrossRef]
  180. Vos, T.; Barber, R.M.; Bell, B.; Bertozzi-Villa, A.; Biryukov, S.; Bolliger, I.; Charlson, F.; Davis, A.; Degenhardt, L.; Dicker, D. Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: A systematic analysis for the Global Burden of Disease Study 2013. Lancet 2015, 386, 743–800. [Google Scholar] [CrossRef] [Green Version]
  181. Mwidunda, S.A.; Carabin, H.; Matuja, W.B.M.; Winkler, A.S.; Ngowi, H.A. A School Based Cluster Randomised Health Education Intervention Trial for Improving Knowledge and Attitudes Related to Taenia solium Cysticercosis and Taeniasis in Mbulu District, Northern Tanzania. PLoS ONE 2015, 10, e0118541. [Google Scholar] [CrossRef] [Green Version]
  182. Alkema, L.; Chou, D.; Hogan, D.; Zhang, S.; Moller, A.-B.; Gemmill, A.; Fat, D.M.; Boerma, T.; Temmerman, M.; Mathers, C. Global, regional, and national levels and trends in maternal mortality between 1990 and 2015, with scenario-based projections to 2030: A systematic analysis by the UN Maternal Mortality Estimation Inter-Agency Group. Lancet 2016, 387, 462–474. [Google Scholar] [CrossRef] [Green Version]
  183. Livingston, G.; Sommerlad, A.; Orgeta, V.; Costafreda, S.G.; Huntley, J.; Ames, D.; Ballard, C.; Banerjee, S.; Burns, A.; Cohen-Mansfield, J. Dementia prevention, intervention, and care. Lancet 2017, 390, 2673–2734. [Google Scholar] [CrossRef] [Green Version]
  184. World Health Organization. WHO Recommendations on Intrapartum Care for a Positive Childbirth Experience; World Health Organization: Geneva, Switzerland, 2018. [Google Scholar]
  185. Creswell, J.W.; Clark, V.L.P. Designing and Conducting Mixed Methods Research; Sage Publications: Los Angeles, CA, USA, 2017. [Google Scholar]
  186. R Core Team. R: Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2019. [Google Scholar]
Figure 1. Annual publications concerning Health Education (HE) in the Web of Science (WOSTM).
Figure 1. Annual publications concerning Health Education (HE) in the Web of Science (WOSTM).
Ijerph 19 06440 g001
Figure 2. The top ten most fruitful journals.
Figure 2. The top ten most fruitful journals.
Ijerph 19 06440 g002
Figure 3. Co-authorship of HE research. The most representative author, co-institute, and country are Marco Pahor, Univ Sydney, and the USA. The size of the circle represents the number of studies published by the author, institutes, and countries. The shorter the distance between two circles, the more cooperation between the two authors. Purple rings indicate that these institutes have greater centrality (no less than 0.1).
Figure 3. Co-authorship of HE research. The most representative author, co-institute, and country are Marco Pahor, Univ Sydney, and the USA. The size of the circle represents the number of studies published by the author, institutes, and countries. The shorter the distance between two circles, the more cooperation between the two authors. Purple rings indicate that these institutes have greater centrality (no less than 0.1).
Ijerph 19 06440 g003
Figure 4. Co-occurring keywords analysis. Note: Left-frequency ranking. Right-centrality ranking. Nodes represent keywords, and the color of the lines that appear together between keywords indicate chronological order: the cold colors represent an earlier publishing time, and the warm colors mean the most recent.
Figure 4. Co-occurring keywords analysis. Note: Left-frequency ranking. Right-centrality ranking. Nodes represent keywords, and the color of the lines that appear together between keywords indicate chronological order: the cold colors represent an earlier publishing time, and the warm colors mean the most recent.
Ijerph 19 06440 g004
Figure 5. Document co-citation analysis in HE research [9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44].
Figure 5. Document co-citation analysis in HE research [9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44].
Ijerph 19 06440 g005
Table 1. Glossary of Terms.
Table 1. Glossary of Terms.
WHOWorld Health Organization
HEhealth education
HLhealth literacy
BCbetweenness centrality
KAPknowledge, attitudes, and practices
NTDsneglected tropical diseases
STHsoil-transmitted helminth infection
YLDsyears of healthy life lost
GBDglobal burden of disease
NCDsnon-communicable diseases
UHCuniversal health coverage
Table 2. Search strategies.
Table 2. Search strategies.
TypeSearch Query and ResultsResults
1(“Health Education” OR “Education, Health” OR “Community Health Education” OR “Education, Community Health” OR “Health Education, Community”) (Topic)16,134
2# 1 and Article (Document Type)12,182
3# 2 and English (Language)11,682
4# 3 and 2011–2021 (Year Published)10,273
Table 3. The five top-cited articles in HE.
Table 3. The five top-cited articles in HE.
FrequencyAuthorTitleSource
52 Pahor M (2014) [9] Effect of structured physical activity on prevention of major mobility disabilities in older adults: the LIFE study randomized clinical trial JAMA-J AM MED ASSOC
49 Bray F (2018) [45] Global Cancer Statistics 2018: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries CA-CANCER J CLIN
46 WHO (2014) [10]Global status report on violence prevention 2014 World Health Organization
41 Sorensen K (2012) [11]Health literacy and public health: A systematic review and integration of definitions and models BMC PUBLIC HEALTH
41 Zhong BL (2020) [12]Knowledge, attitudes, and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: a quick online cross-sectional survey INT J BIOL SCI
Table 4. The largest 10 clusters of HE document co-citation.
Table 4. The largest 10 clusters of HE document co-citation.
ClusterSizeSilhouetteMean (Year)Label (LSI)Label (LLR)Label (MI)
0770.9322011risk factorssoil-transmitted helminth infectionnew vision
1660.7732013womenlearning outcomesmear-positive pulmonary tuberculosis
2620.8312013Chinataenia soliumepidemiological characteristics
3510.9422019cross-sectional studyCOVID-19 pandemicincome-poor household
4490.9492009global health educationglobal health trainingeducational engagement-a tale
5480.8342008toddlersweb-based interventionurban residential women
6480.8842007controlled trialrandomized controlled trialclinical outcome
7480.9352010adultslife studysleep-wake behavior
8460.8812007effectivenesstranscendental meditationhigh-risk patient
9440.9312016impactcommunity health workersouthwest China
Note: there are three main methods of extracting noun phrases from the titles of articles citing clustering—term frequency by inverted document frequency (LSI), log-likelihood ratio (LLR), and mutual information (MI).
Table 5. The top three articles in terms of BC.
Table 5. The top three articles in terms of BC.
CentralityAuthorTitleSource
0.25Murray CJL
(2012) [56]
Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010LANCET
0.17Sorensen K
(2012) [11]
Health literacy and public health: a systematic review and integration of definitions and modelsBMC PUBLIC HEALTH
0.13Braun V
(2006) [20]
Using thematic analysis in psychologyQUAL RES PSYCHOL
The top three articles with the highest BC are Murray CJL (2012), Sorensen K (2012), and Braun V (2006), building a connection in two or more clusters.
Table 6. References with recent citation bursts.
Table 6. References with recent citation bursts.
ReferencesCitation Burst
YearStrengthBeginEndDuration (2011–2021)
Bray F (2018) [45]. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA-CANCER J CLIN201820.4120202021▂▂▂▂▂▂▂▂▂▃▃▃
Zhong BL (2020) [12]. Knowledge, attitudes, and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: a quick online cross-sectional survey. INT J BIOL SCI202019.3920202021▂▂▂▂▂▂▂▂▂▃▃▃
Al-Hanawi MK (2020) [58]. Knowledge, Attitude, and Practice Toward COVID-19 Among the Public in the Kingdom of Saudi Arabia: A Cross-Sectional Study. FRONT PUBLIC HEALTH20208.4620202021▂▂▂▂▂▂▂▂▂▃▃▃
Patton GC (2016) [52]. Our future: a Lancet commission on adolescent health and wellbeing. LANCET20167.8620202021▂▂▂▂▂▂▂▂▂▃▃▃
WHO (2014) [10]. GLOBAL STATUS REPORT ON VIOLENCE PREVENTION 2014. World Health Organization20147.0620172021▂▂▂▂▂▂▃▃▃▃▃▃
Abdelhafiz AS (2020) [59]. Knowledge, Perceptions, and Attitude of Egyptians Towards the Novel Coronavirus Disease (COVID-19). J COMMUN HEALTH20207.0420202021▂▂▂▂▂▂▂▂▂▃▃▃
Azlan AA (2020) [60]. Public knowledge, attitudes, and practices towards COVID-19: A cross-sectional study in Malaysia. PLOS ONE20207.0420202021▂▂▂▂▂▂▂▂▂▃▃▃
Huang CL (2020) [61]. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. LANCET20206.5720202021▂▂▂▂▂▂▂▂▂▃▃▃
Sorensen K (2015) [62]. Health literacy in Europe: comparative results of the European health literacy survey (HLS-EU). EUR J PUBLIC HEALTH20156.3720202021▂▂▂▂▂▂▂▂▂▃▃▃
Zhu N (2020) [63]. A Novel Coronavirus from Patients with Pneumonia in China, 2019. NEW ENGL J MED20165.7620182021▂▂▂▂▂▂▂▃▃▃▃▃
Victora CG (2016) [64]. Breastfeeding in the 21st century: epidemiology, mechanisms, and lifelong effect. LANCET20155.7620192021▂▂▂▂▂▂▂▂▃▃▃▃
Wolf MS (2020) [65]. Awareness, Attitudes, and Actions Related to COVID-19 Among Adults With Chronic Conditions at the Onset of the U.S. Outbreak. ANN INTERN MED20195.6320202021▂▂▂▂▂▂▂▂▃▃▃
Peres MA (2019) [66]. Oral diseases: a global public health challenge. LANCET20145.6320202021▂▂▂▂▂▂▂▂▂▃▃▃
Jogerst K (2015) [21]. Identifying Interprofessional Global Health Competencies for 21st-Century Health Professionals. ANN GLOB HEALTH20155.1220182021▂▂▂▂▂▂▂▃▃▃▃▃
United Nations (2015) [67]. Transforming our world: the 2030 Agenda for Sustainable Development. TRANSF OUR WORLD 20320174.9320192021▂▂▂▂▂▂▂▂▃▃▃▃
Zhang XT (2017) [68]. How the public uses social media WeChat to obtain health information in China: a survey study. BMC MED INFORM DECIS20204.6920202021▂▂▂▂▂▂▂▂▂▃▃▃
Bai Y (2020) [69]. Presumed Asymptomatic Carrier Transmission of COVID-19. JAMA-J AM MED ASSOC20204.6920202021▂▂▂▂▂▂▂▂▂▃▃▃
Sohrabi C (2020) [70]. World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19). INT J SURG20174.2220202021▂▂▂▂▂▂▂▂▂▃▃▃
Zhang JY (2017) [71]. Public Health Services Utilization and Its Determinants among Internal Migrants in China: Evidence from a Nationally Representative Survey. INT J ENV RES PUB HE20183.7020192021▂▂▂▂▂▂▂▃▃▃▃
Wang ZW (2018) [72]. Status of Hypertension in China Results From the China Hypertension Survey, 2012–2015. CIRCULATION20133.6720192021▂▂▂▂▂▂▂▂▃▃▃▃
Say L (2014) [73]. Global causes of maternal death: a WHO systematic analysis. LANCET GLOB HEALTH20173.2320202021▂▂▂▂▂▂▂▂▂▃▃▃
Kassebaum NJ (2017) [74]. Global, Regional, and National Prevalence, Incidence, and Disability-Adjusted Life Years for Oral Conditions for 195 Countries, 1990–2015: A Systematic Analysis for the Global Burden of Diseases, Injuries, and Risk Factors. J DENT RES20162.7720202021▂▂▂▂▂▂▂▂▂▃▃▃
Chen WQ (2016) [75]. cancer statistics in China, 2015. CA-CANCER J CLIN201820.4120202021▂▂▂▂▂▂▂▂▂▃▃▃
The green line means the year from 2011 to 2021, and the red line () means the years of the period of burst, with one red equal to one year. For example, Chen WQ (2016) [75] has a 3-year of burst from 2011 to 2021.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Chen, B.; Shin, S.; Wu, M.; Liu, Z. Visualizing the Knowledge Domain in Health Education: A Scientometric Analysis Based on CiteSpace. Int. J. Environ. Res. Public Health 2022, 19, 6440. https://doi.org/10.3390/ijerph19116440

AMA Style

Chen B, Shin S, Wu M, Liu Z. Visualizing the Knowledge Domain in Health Education: A Scientometric Analysis Based on CiteSpace. International Journal of Environmental Research and Public Health. 2022; 19(11):6440. https://doi.org/10.3390/ijerph19116440

Chicago/Turabian Style

Chen, Boyuan, Sohee Shin, Ming Wu, and Zhihui Liu. 2022. "Visualizing the Knowledge Domain in Health Education: A Scientometric Analysis Based on CiteSpace" International Journal of Environmental Research and Public Health 19, no. 11: 6440. https://doi.org/10.3390/ijerph19116440

APA Style

Chen, B., Shin, S., Wu, M., & Liu, Z. (2022). Visualizing the Knowledge Domain in Health Education: A Scientometric Analysis Based on CiteSpace. International Journal of Environmental Research and Public Health, 19(11), 6440. https://doi.org/10.3390/ijerph19116440

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