Incidência e letalidade por COVID-19 na população do Distrito Federal: um estudo ecológico
DOI:
https://doi.org/10.17058/reci.v12i3.17202Resumo
Justificativa e objetivos: o entendimento da situação social da COVID-19 em países pobres e menos desenvolvidos ainda é dubitável. Desse modo, o objetivo deste estudo é estimar a incidência e letalidade por COVID-19, de acordo com a renda per capita das regiões administrativas do Distrito Federal (DF). Métodos: trata-se de um estudo ecológico descritivo, baseado em dados secundários. Foram incluídas 31 regiões administrativas do DF, e a população foi composta por 382.488 indivíduos. Consideraram-se como variáveis sexo, incidência, mortalidade, letalidade, faixa etária, estimativa populacional e escolaridade. Resultados: apesar da contaminação maior por parte das mulheres, em termos de mortalidade total, mais homens foram a óbito, representando 57,3% do total de mortos no período. A respeito da influência do grau de escolaridade e da renda na incidência, verifica-se que os maiores índices de casos confirmados aconteceram em grupos com maior nível de escolaridade e de renda. Apesar dessa maior incidência, é o grupo que exibe a menor letalidade e a terceira menor mortalidade por 100.000 habitantes. Conclusão: as mais altas taxas de incidência foram observadas nas regiões com maior renda per capita. Por outro lado, a letalidade ocorreu, de forma mais incisiva, nas regiões de menor poder aquisitivo. Diante disso, é necessário aplicar medidas preventivas de longo prazo em regiões desiguais.
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Souza CDF, Machado MF, Carmo RF. Human development, social vulnerability and COVID-19 in Brazil: a study of the social determinants of health. Infect Dis Poverty. 2020;9. https://doi.org/10.1186/s40249-020-00743-x .
Demenech LM, Dumith S de C, Vieira MECD, et al. Income inequality and risk of infection and death by covid-19 in brazil. Rev Bras Epidemiol. 2020;23. https://doi.org/10.1590/1980-549720200095.
Rafael RMR, Neto M, Depret DG, et al. Efecto de la renta sobre la incidencia acumulada de COVID-19: un estudio ecológico. Rev Lat Am Enfermagem. 2020;28:1–11. https://doi.org/10.1590/1518-8345.4475.3344.
Escobar AL, Rodriguez TDM, Monteiro JC. Letalidade e características dos óbitos por COVID-19 em Rondônia: estudo observacional. Epidemiol Serv Saúde. 2020;30:e2020763. https://doi.org/10.1590/S1679-49742021000100019.
Nascimento BIJ, Pinto LR, Fernandes VA, et al. Clinical characteristics and outcomes among Brazilian patients with severe acute respiratory syndrome coronavirus 2 infection: An observational retrospective study. Sao Paulo Med J 2020;138:490–7. https://doi.org/10.1590/1516-3180.2020.00365.R1.08092020.
Zarulli V, Barthold Jones JA, Oksuzyan A, et al. Women live longer than men even during severe famines and epidemics. Proc Natl Acad Sci. 2018;115:E832–40. https://doi.org/10.1073/pnas.1701535115.
Estrela FM, Soares CFS, Cruz MAD. et al. Pandemia da Covid 19: refletindo as vulnerabilidades a luz do gênero, raça e classe. Ciênc. Saúde Colet. 2020;25:3431-3436. https://doi.org/10.1590/1413-81232020259.14052020.
Team E. The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19) China. China CDC weekly. 2020;41:145–51. http://dx.doi.org/10.46234/ccdcw2020.032.
Bello-Chavolla OY, González-DÍaz A, Antonio-Villa NE, et al. Unequal Impact of Structural Health Determinants and Comorbidity on COVID-19 Severity and Lethality in Older Mexican Adults: Considerations beyond Chronological Aging. The Jour Gerontol. 2021;76:E52–9. https://doi.org/10.1093/gerona/glaa163.
Bialek S, Boundy E, Bowen V, et al. Severe Outcomes Among Patients with Coronavirus Disease 2019 (COVID-19). MMWR Morb Mortal Wkly Rep. 2020;69:343–6. https://dx.doi.org/10.15585%2Fmmwr.mm6912e2.
Costa JA, Silveira JA, Dos Santos SCM, et al. Cardiovascular implications in patients infected with covid-19 and the importance of social isolation to reduce dissemination of the disease. Arq Bras Cardiol. 2020;114:834–8. https://doi.org/10.36660/abc.20200243.
Le Couteur DG, Anderson RM, Newman AB. COVID-19 is a disease of older people. J Gerontol A Biol Sci Med Sci. 2020;75:1804-9 https://doi.org/10.1093/gerona/glaa080.
Barbosa IR, Galvão MHR, Souza TA, et al. Incidence of and mortality from COVID-19 in the older Brazilian population and its relationship with contextual indicators: an ecological study. Rev Bras Geriatr e Gerontol. 2020;23. https://doi.org/10.1590/1981-22562020023.200171.
Cheng ZJ, Shan J. 2019 Novel coronavirus: where we are and what we know. Infection. 2020;48:155–63. https://doi.org/10.1007/s15010-020-01401-y.
Silva GA, Jardim BC, Santos CVB. Excess mortality in Brazil in times of covid-19. Cienc e Saude Coletiva. 2020;25:3345–54. https://doi.org/10.1590/1413-81232020259.23642020.
Chen N, Zhou M, Dong X, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020;395:507–13. https://doi.org/10.1016/S0140-6736(20)30211-7.
Xie J, Tong Z, Guan X, et al. Clinical Characteristics of Patients Who Died of Coronavirus Disease 2019 in China. JAMA Netw open. 2020;3:e205619. http://dx.doi.org/10.1001/jamanetworkopen.2020.5619.
Gomez JMD, Du-Fay-De-Lavallaz JM, Fugar S, et al. Sex Differences in COVID-19 Hospitalization and Mortality. J Women’s Heal. 2021;30:646–53. https://doi.org/10.1089/jwh.2020.8948.
Mellström U. COVID-19, masculinity and risk/at risk. Norma. 2020;15:94–6. https://doi.org/10.1080/18902138.2020.1762307.
Smith JA, Griffith DM, White A, et al. Covid-19, equity and men’s health: Using evidence to inform future public health policy, practice and research responses to pandemics. Int J Men’s Soc Community Heal. 2020;3:e48–64. https://doi.org/10.22374/ijmsch.v3i1.42.
Lehmann EY, Lehmann LS. Responding to Patients Who Refuse to Wear Masks During the Covid-19 Pandemic. J Gen Intern Med. 2021;36:2814–5. https://dx.doi.org/10.1007%2Fs11606-020-06323-x.
Hockham C, Thompson K, Carcel C, et al. What Sex-Disaggregated Metrics Are Needed to Explain Sex Differences in COVID-19? Front Glob Women’s Heal. 2020;1:1–3. https://doi.org/10.3389/fgwh.2020.00002.
Lenzi L, Wiens A, Grochocki M, et al. Study of the relationship between socio-demographic characteristics and new influenza A (H1N1). The Brazilian Journal of Infectious Diseases, 15(5),457-461. https://doi.org/10.1016/S1413-8670(11)70227-6.
Rocha D, Lemos Q, Pires J, et al. Fatores de risco associados à gravidade e óbitos por influenza durante a Pandemia de Influenza A (H1N1) 2009 em região tropical/semi-árida do Brasil. Journal of Health & Biological Sciences. http://dx.doi.org/10.12662/2317-3076jhbs.v3i2.165.p77-85.2015.
Tanjitpiyanond P, Álvarez B, Jetten J, et al. Unlocking collective cooperation in the midst of COVID‐19: The role of social support in predicting the social class disparity in cooperation. Br J Soc Psychol. 2021. https://doi.org/10.1111/bjso.12514.
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