Epidemiological and clinical characteristics of the COVID-19 epidemic in Brazil.,Nature Human Behaviour

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Epidemiological and clinical characteristics of the COVID-19 epidemic in Brazil.
Nature Human Behaviour ( IF 21.4 ) Pub Date : 2020-07-31 , DOI: 10.1038/s41562-020-0928-4
William Marciel de Souza ₁ , Lewis Fletcher Buss ₂ , Darlan da Silva Candido _{2,

3} , Jean-Paul Carrera _{3,

4} , Sabrina Li ₅ , Alexander E Zarebski ₃ , Rafael Henrique Moraes Pereira ₆ , Carlos A Prete ₇ , Andreza Aruska de Souza-Santos ₈ , Kris V Parag ₉ , Maria Carolina T D Belotti ₇ , Maria F Vincenti-Gonzalez ₁₀ , Janey Messina _{5,

11} , Flavia Cristina da Silva Sales ₂ , Pamela Dos Santos Andrade ₂ , Vítor Heloiz Nascimento ₇ , Fabio Ghilardi ₂ , Leandro Abade ₃ , Bernardo Gutierrez _{3,

12} , Moritz U G Kraemer _{3,

13,

14} , Carlos K V Braga ₆ , Renato Santana Aguiar ₁₅ , Neal Alexander ₁₆ , Philippe Mayaud ₁₇ , Oliver J Brady _{15,

18} , Izabel Marcilio ₁₉ , Nelson Gouveia ₂₀ , Guangdi Li ₂₁ , Adriana Tami ₁₀ , Silvano Barbosa de Oliveira ₂₂ , Victor Bertollo Gomes Porto ₂₂ , Fabiana Ganem ₂₂ , Walquiria Aparecida Ferreira de Almeida ₂₂ , Francieli Fontana Sutile Tardetti Fantinato ₂₂ , Eduardo Marques Macário ₂₃ , Wanderson Kleber de Oliveira ₂₃ , Mauricio L Nogueira ₂₄ , Oliver G Pybus ₃ , Chieh-Hsi Wu ₂₅ , Julio Croda _{23,

26,

27,

28} , Ester C Sabino ₂ , Nuno Rodrigues Faria _{2,

3,

9}

Affiliation

Centro de Pesquisa em Virologia, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil.
Instituto de Medicina Tropical, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
Department of Zoology, University of Oxford, Oxford, UK.
Department of Research in Virology and Biotechnology, Gorgas Memorial Institute of Health Studies, Panama City, Panama.
School of Geography and the Environment, University of Oxford, Oxford, UK.
Institute for Applied Economic Research (IPEA), Brasília, Brazil.
Escola Politécnica, Universidade de São Paulo, São Paulo, Brazil.
Brazilian Studies Programme, Latin American Centre, University of Oxford, Oxford, UK.
MRC Centre for Global Infectious Disease Analysis, J-IDEA, Imperial College London, London, UK.
Department of Medical Microbiology and Infection Prevention, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Oxford School of Global and Area Studies, University of Oxford, Oxford, UK.
School of Biological and Environmental Sciences, Universidad San Francisco de Quito (USFQ), Quito, Ecuador.
Harvard Medical School, Harvard University, Boston, MA, USA.
Boston Children's Hospital, Boston, MA, USA.
Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
MRC Tropical Epidemiology Group, Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Department of Clinical Research, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
Núcleo de Vigilância Epidemiológica do Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
Departamento de Medicina Preventiva, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.
Secretariat of Health Surveillance, Department of Immunization and Communicable Diseases, Brazilian Ministry of Health, Brasília, Brazil.
Secretariat of Health Surveillance, Brazilian Ministry of Health, Brasília, Brazil.
Faculdade de Medicina de São José do Rio Preto, São Jose do Rio Preto, Brazil.
Mathematical Sciences, University of Southampton, Southampton, UK.
Laboratório de Pesquisa em Ciências da Saúde, Universidade Federal da Grande Dourados, Dourados, Brazil.
Fundação Oswaldo Cruz, Campo Grande, Brazil.
Department of Epidemiology of Microbial Diseases, Yale School of Public Health, Yale University, New Haven, CT, USA.

The first case of COVID-19 was detected in Brazil on 25 February 2020. We report and contextualize epidemiological, demographic and clinical findings for COVID-19 cases during the first 3 months of the epidemic. By 31 May 2020, 514,200 COVID-19 cases, including 29,314 deaths, had been reported in 75.3% (4,196 of 5,570) of municipalities across all five administrative regions of Brazil. The R₀ value for Brazil was estimated at 3.1 (95% Bayesian credible interval = 2.4–5.5), with a higher median but overlapping credible intervals compared with some other seriously affected countries. A positive association between higher per-capita income and COVID-19 diagnosis was identified. Furthermore, the severe acute respiratory infection cases with unknown aetiology were associated with lower per-capita income. Co-circulation of six respiratory viruses was detected but at very low levels. These findings provide a comprehensive description of the ongoing COVID-19 epidemic in Brazil and may help to guide subsequent measures to control virus transmission.

中文翻译：

巴西 COVID-19 流行病的流行病学和临床特征。

2020 年 2 月 25 日在巴西发现了第一例 COVID-19。我们报告了 COVID-19 病例在流行的前 3 个月的流行病学、人口统计学和临床发现，并对其进行了背景分析。截至 2020 年 5 月 31 日，巴西所有五个行政区的 75.3%（5,570 个城市中的 4,196 个）报告了 514,200 例 COVID-19 病例，包括 29,314 例死亡。的[R ₀巴西的价值估计为 3.1（95% 贝叶斯可信区间 = 2.4-5.5），与其他一些受严重影响的国家相比，可信区间的中位数较高但重叠。确定了较高的人均收入与 COVID-19 诊断之间存在正相关。此外，病因不明的严重急性呼吸道感染病例与较低的人均收入有关。检测到六种呼吸道病毒的共同循环，但水平非常低。这些发现全面描述了巴西正在发生的 COVID-19 流行病，并可能有助于指导后续控制病毒传播的措施。

更新日期：2020-07-31

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