Impact of the COVID-19 Pandemic on Infectious Diseases in Brazil: A Case Study on Dengue Infections
Abstract
:1. Introduction
2. Materials and Methods
3. Case study
3.1. Case Presentation
3.1.1. Demography
3.1.2. Geography
3.1.3. Economy
3.1.4. Politics
3.1.5. Brazil’s Healthcare System
3.2. Management and Outcomes of Emerging Infectious Disease Outbreaks in Brazil
3.2.1. COVID-19: 2020–21
3.2.2. Dengue–2019
3.2.3. Zika–2015–2017
3.3. Current Impact and Long-Term Influence of the COVID-19 Pandemic on Global and Public Health, Public Policy, and Healthcare System
4. Discussion
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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State | Region | Cases | Deaths | % of Cases | % of Deaths |
---|---|---|---|---|---|
São Paulo | Southeast | 4,407,756 | 152,098 | 20 | 25 |
Minas Gerais | 2,186,321 | 55,613 | 10 | 9.1 | |
Rio de Janeiro | 1,322,861 | 68,391 | 6.1 | 11 | |
Espírito Santo | 608,208 | 12,941 | 2.8 | 2.1 | |
Subtotal | Southeast | 8,525,146 | 289,043 | 39 | 48 |
Paraná | South | 1,558,616 | 40,542 | 7.1 | 6.7 |
Rio Grande do Sul | 1,468,595 | 35,525 | 6.7 | 5.8 | |
Santa Catarina | 1,218,044 | 19,697 | 5.6 | 3.2 | |
Subtotal | South | 4,245,255 | 95,764 | 19 | 16 |
Goiás | Central-West | 906,441 | 24,211 | 4.2 | 4.0 |
Mato Grosso | 544,094 | 13,694 | 2.5 | 2.3 | |
Distrito Federal | 515,399 | 10,902 | 2.4 | 1.8 | |
Mato Grosso do Sul | 376,558 | 9646 | 1.7 | 1.6 | |
Subtotal | Central-West | 2,342,492 | 58,453 | 11 | 9.6 |
Bahia | Northeast | 1,246,278 | 27,091 | 5.7 | 4.5 |
Ceará | 943,738 | 24,499 | 4.3 | 4.0 | |
Pernambuco | 632,366 | 20,033 | 2.9 | 3.3 | |
Paraíba | 454,529 | 9430 | 2.1 | 1.6 | |
Rio Grande do Norte | 373,926 | 7401 | 1.7 | 1.2 | |
Maranhão | 361,260 | 10,240 | 1.7 | 1.7 | |
Piauí | 326,089 | 7108 | 1.5 | 1.2 | |
Sergipe | 278,520 | 6031 | 1.3 | 1.0 | |
Alagoas | 240,360 | 6298 | 1.1 | 1.0 | |
Subtotal | Northeast | 4,857,066 | 118,131 | 22 | 19 |
Pará | North | 598,703 | 16,748 | 2.7 | 2.8 |
Amazonas | 427,867 | 13,772 | 2.0 | 2.3 | |
Rondônia | 270,767 | 6574 | 1.2 | 1.1 | |
Tocantins | 228,874 | 3882 | 1.0 | 0.6 | |
Roraima | 127,417 | 2030 | 0.6 | 0.3 | |
Amapá | 123,695 | 1993 | 0.6 | 0.3 | |
Acre | 88,053 | 1845 | 0.4 | 0.3 | |
Subtotal | North | 1,865,376 | 46,844 | 8.5 | 7.7 |
Grand total for Brazil as at 4 November 2021 | 21,835,335 | 608,235 | 100 | 100 |
COVID-19 ^ | Dengue | Chikungunya | Zika | |
---|---|---|---|---|
Average incubation period (days) | 5–14 | 4–10 | 4–7 | 3–14 |
Symptoms | ||||
Fever | ✓ | ✓ | ✓ | ✓ |
Headache | ✓ | ✓ | ✓ | ✓ |
Muscle and joint pain | ✓ | ✓ | ✓ | ✓ |
Rash | ✓ | ✓ | ✓ | |
Tiredness | ✓ | ✓ | ✓ | ✓ |
Nausea | ✓ | ✓ | ||
Cough | ✓ | |||
Loss of taste | ✓ | |||
Sore throat | ✓ | |||
Conjunctivitis | ✓ | |||
Pain behind eyes | ✓ |
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Borre, F.; Borri, J.I.; Cohen, Y.Z.; Gasparoto, M.; Gurung, T.B. Impact of the COVID-19 Pandemic on Infectious Diseases in Brazil: A Case Study on Dengue Infections. Epidemiologia 2022, 3, 97-115. https://doi.org/10.3390/epidemiologia3010009
Borre F, Borri JI, Cohen YZ, Gasparoto M, Gurung TB. Impact of the COVID-19 Pandemic on Infectious Diseases in Brazil: A Case Study on Dengue Infections. Epidemiologia. 2022; 3(1):97-115. https://doi.org/10.3390/epidemiologia3010009
Chicago/Turabian StyleBorre, Federico, Juliette Ildiko Borri, Yuval Zoy Cohen, Mariana Gasparoto, and Tsewang Bhumchok Gurung. 2022. "Impact of the COVID-19 Pandemic on Infectious Diseases in Brazil: A Case Study on Dengue Infections" Epidemiologia 3, no. 1: 97-115. https://doi.org/10.3390/epidemiologia3010009
APA StyleBorre, F., Borri, J. I., Cohen, Y. Z., Gasparoto, M., & Gurung, T. B. (2022). Impact of the COVID-19 Pandemic on Infectious Diseases in Brazil: A Case Study on Dengue Infections. Epidemiologia, 3(1), 97-115. https://doi.org/10.3390/epidemiologia3010009