| Journal: | Revista do Instituto de Medicina Tropical de Sao Paulo |
| Database: | |
| System number: | 000547885 |
| ISSN: | 0036-4665 |
| Authors: | Croda, Mariana Garcia1 Barbosa, Marcelo dos Santos2 Marchioro, Silvana Beutinger3 Nascimento, Débora Dupas Gonçalves do4 Melo, Enirtes Caetano Prates5 Cruz, Oswaldo Gonçalves6 Torres, Alex José Leite3 Oliveira, Laís Albuquerque de2 Ganem, Fabiana7 Simionatto, Simone8 |
| Institutions: | 1Universidade Federal do Mato Grosso do Sul, Escola de Medicina, Campo Grande. Brasil 2Universidade Federal da Grande Dourados, Faculdade de Ciências da Saúde, Dourados, Mato Grosso do Sul. Brasil 3Universidade Federal da Bahia, Instituto de Ciências da Saúde, Salvador, Bahia. Brasil 4Fundação Osvaldo Cruz, Campo Grande, Mato Grosso do Sul. Brasil 5Fundação Osvaldo Cruz, Escola Nacional de Saúde Pública, Rio de Janeiro, Rio de Janeiro. Brasil 6Fundação Oswaldo Cruz, Programa de Ciências da Computação, Rio de Janeiro. Brasil 7Universitat Autònoma de Barcelona, Departament de Pediatria d’Obstetrícia I Ginecologia i de Medicina Preventiva i de Salut Publica, Belaterra, Barcelona. España 8Universidade Federal da Grande Dourados, Faculdade de Ciências Biológicas e Ambientais, Dourados, Mato Grosso do Sul. Brasil |
| Year: | 2022 |
| Volumen: | 64 |
| Country: | Brasil |
| Language: | Inglés |
| English abstract | This cross-sectional observational study that describes the epidemiological data of the first year of the COVID-19 pandemic in the Mato Grosso do Sul State, aimed to demonstrate the differences between indigenous and non-indigenous populations, characterize confirmed cases of COVID-19 according to risk factors related to ethnicity, comorbidities and their evolution and to verify the challenges in facing the disease in Brazil. SIVEP-Gripe and E-SUS-VE, a nationwide surveillance database in Brazil, from March 2020 to March 2021 in Mato Grosso do Sul state, were used to compare survivors and non-survivors from indigenous and non-indigenous populations and the epidemiological incidence curves of these populations. A total of 176,478, including 5,299 indigenous people, were confirmed. Among the indigenous population, 52.5% (confidence interval CI 51.2-53.9) were women, 38% (CI 36.7-39.4) were 20-39 years old, 56.7% were diagnosed by rapid antibody tests, 12.3% (CI 95%:11.5-13.2) had at least one comorbidity, and 5.3% (CI 95%:4.7–5.9) were hospitalized. In the non-indigenous patients, 56.8% were confirmed using RT-PCR, 4.4% (CI 95%:4.3-4.5) had at least one comorbidity, and 8.0% (CI 95%:7.9-8.2) were hospitalized. The majority of non-survivors were ≥60 years old (65.1% indigenous vs. 74.1% non-indigenous). The mortality in indigenous people was more than three times higher (11% vs. 2.9%). Indigenous people had a lower proportion of RT-PCR diagnoses; deaths were more frequent in younger patients and were less likely to be admitted to hospital. Mass vaccination may have controlled the incidence and mortality associated with COVID-19 in this population during the period of increased viral circulation. |
| Keyword: | Health of indigenous peoples, Epidemiology, Coronavirus infections, COVID-19 |
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