Epidemiological and clinical characteristics of the COVID-19 epidemic in Brazil.


Journal

Nature human behaviour
ISSN: 2397-3374
Titre abrégé: Nat Hum Behav
Pays: England
ID NLM: 101697750

Informations de publication

Date de publication:
08 2020
Historique:
received: 08 07 2020
accepted: 15 07 2020
pubmed: 2 8 2020
medline: 25 8 2020
entrez: 2 8 2020
Statut: ppublish

Résumé

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 R

Identifiants

pubmed: 32737472
doi: 10.1038/s41562-020-0928-4
pii: 10.1038/s41562-020-0928-4
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

856-865

Subventions

Organisme : Medical Research Council
ID : MC_PC_19012
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/R010161/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/S019510/1
Pays : United Kingdom
Organisme : Wellcome Trust (Wellcome)
ID : 204311/Z/16/Z
Pays : International
Organisme : Wellcome Trust (Wellcome)
ID : 206471/Z/17/Z
Pays : International
Organisme : RCUK | Medical Research Council (MRC)
ID : MR/S0195/1
Pays : International
Organisme : Medical Research Council
ID : MR/R015600/1
Pays : United Kingdom

Références

Huang, C. et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 395, 497–506 (2020).
doi: 10.1016/S0140-6736(20)30183-5
Coronaviridae Study Group of the International Committee on Taxonomy of Viruses. The species Severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2. Nat. Microbiol. https://doi.org/10.1038/s41564-020-0695-z (2020).
Lu, R. et al. Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. Lancet 395, 565–574 (2020).
doi: 10.1016/S0140-6736(20)30251-8
Guan, W.-J. et al. Clinical characteristics of coronavirus disease 2019 in China. N. Engl. J. Med. https://doi.org/10.1056/NEJMoa2002032 (2020).
Livingston, E. & Bucher, K. Coronavirus disease 2019 (COVID-19) in Italy. J. Am. Med. Assoc. https://doi.org/10.1001/jama.2020.4344 (2020).
Coronavirus Disease (COVID-2019) Situation Reports (World Health Organization, 2020); https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports
Croda, J. et al. COVID-19 in Brazil: advantages of a socialized unified health system and preparation to contain cases. Rev. Soc. Bras. Med. Trop. 53, e20200167 (2020).
doi: 10.1590/0037-8682-0167-2020
Jesus, J. G. et al. Importation and early local transmission of COVID-19 in Brazil, 2020. Rev. Inst. Med. Trop. SP 62, e30 (2020).
doi: 10.1590/s1678-9946202062030
Candido, D. S. et al. Routes for COVID-19 importation in Brazil. J. Travel Med. 27, taaa042 (2020).
doi: 10.1093/jtm/taaa042
Clark, A. et al. Centre for the Mathematical Modelling of Infectious Diseases COVID-19 working group. Global, regional, and national estimates of the population at increased risk of severe COVID-19 due to underlying health conditions in 2020: a modelling study. Lancet Glob. Health https://doi.org/10.1016/S2214-109X(20)30264-3 (2020).
Burki, T. COVID-19 in Latin America. Lancet Infect. Dis. 20, 547–548 (2020).
doi: 10.1016/S1473-3099(20)30303-0
Cimerman, S., Chebabo, A., Cunha, C. A. D. & Rodriguez-Morales, A. J. Deep impact of COVID-19 in the healthcare of Latin America: the case of Brazil. Braz. J. Infect. Dis. 24, 93–95 (2020).
doi: 10.1016/j.bjid.2020.04.005
Ezequiel, G. E. et al. The COVID-19 pandemic: a call to action for health systems in Latin America to strengthen quality of care. Int. J. Qual. Health Care https://doi.org/10.1093/intqhc/mzaa062 (2020).
Miller, M. J., Loaiza, J. R., Takyar, A. & Gilman, R. H. COVID-19 in Latin America: novel transmission dynamics for a global pandemic? PLoS Negl. Trop. Dis. 14, e0008265 (2020).
doi: 10.1371/journal.pntd.0008265
Andrus, J. K. et al. Perspectives on battling COVID-19 in countries of Latin America and the Caribbean. Am. J. Trop. Med. Hyg. https://doi.org/10.4269/ajtmh.20-0571 (2020).
Croda, J. H. R. & Garcia, L. P. Immediate health surveillance response to COVID-19 epidemic. Epidemiol. Serv. Saude 29, e2020002 (2020).
pubmed: 32215535
Harris, P. A. et al. The REDCap consortium: building an international community of software platform partners. J. Biomed. Inform. 95, 103208 (2019).
doi: 10.1016/j.jbi.2019.103208
Influenza Update (WHO, 2020); https://www.who.int/influenza/surveillance_monitoring/updates/latest_update_GIP_surveillance/en/
Besag, J., York, J. & Mollié, A. Bayesian image restoration, with two applications in spatial statistics. Ann. Inst. Stat. Math. 43, 1–20 (1991).
doi: 10.1007/BF00116466
Pesquisa Nacional de Saúde 2013: Percepção do Estado de Saúde, Estilos de Vida e Doenças Crônicas. Brasil, Grandes Regiões e Unidades da Federação (IBGE, 2015).
Mellan, T. A. et al. Report 21: estimating COVID-19 cases and reproduction number in Brazil. Preprint at medRxiv https://doi.org/10.1101/2020.05.09.20096701 (2020).
Caicedo-Ochoa, Y., Rebellon-Sanchez, D. E., Penaloza-Rallon, M., Cortes-Motta, H. F. & Mendez-Fandino, Y. R. Effective reproductive number estimation for initial stage of COVID-19 pandemic in Latin American countries. Int. J. Infect. Dis. 95, 316–318 (2020).
doi: 10.1016/j.ijid.2020.04.069
Munayco, C. V. et al. Early transmission dynamics of COVID-19 in a Southern Hemisphere setting: Lima-Peru: February 29th–March 30th, 2020. Infect. Dis. Model. https://doi.org/10.1016/j.idm.2020.05.001 (2020).
Da Silva Candido, D. et al. Evolution and epidemic spread of SARS-CoV-2 in Brazil. Science https://doi.org/10.1126/science.abd2161 (2020).
Ferguson, N. et al. Report 9: Impact of Non-Pharmaceutical Interventions (NPIs) to Reduce COVID19 Mortality and Healthcare Demand (Imperial College COVID-19 Response Team, 2020).
Walker, P. G. T. et al. The impact of COVID-19 and strategies for mitigation and suppression in low- and middle-income countries. Science https://doi.org/10.1126/science.abc0035 (2020).
Korber, B. et al. Spike mutation pipeline reveals the emergence of a more transmissible form of SARS-CoV-2. Preprint at bioRxiv https://doi.org/10.1101/2020.04.29.069054 (2020).
Zhang, L. et al. The D614G mutation in the SARS-CoV-2 spike protein reduces S1 shedding and increases infectivity. Preprint at bioRxiv https://doi.org/10.1101/2020.06.12.148726 (2020).
Khalatbari-Soltani, S., Cumming, R. G., Delpierre, C. & Kelly-Irving, M. Importance of collecting data on socioeconomic determinants from the early stage of the COVID-19 outbreak onwards. J. Epidemiol. Commun. Health https://doi.org/10.1136/jech-2020-214297 (2020).
Rivett, L. et al. Screening of healthcare workers for SARS-CoV-2 highlights the role of asymptomatic carriage in COVID-19 transmission. eLife 9, https://doi.org/10.7554/eLife.58728 (2020).
Park, S. Y. et al. Coronavirus disease outbreak in call center, South Korea. Emerg. Infect. Dis. 26, https://doi.org/10.3201/eid2608.201274 (2020).
Pereira, R. H. et al. Mobilidade Urbana e o Acesso ao Sistema Único de Saúde para Casos Suspeitos e Graves de COVID-19 nas Vinte Maiores Cidades do Brasil Nota Técnica No. 14 (Diretoria de Estudos e Politicas Regionais, Urbanas e Ambientais, IPEA, 2020).
Silveira, M. et al. Repeated population-based surveys of antibodies against SARS-CoV-2 in Southern Brazil. Preprint at medRxiv https://doi.org/10.1101/2020.05.01.20087205 (2020).
Sy, K. T. L., Martinez, M. E., Rader, B. & White, L. F. Socioeconomic disparities in subway use and COVID-19 outcomes in New York City. Preprint at medRxiv https://doi.org/10.1101/2020.05.28.20115949 (2020).
Dehning, J. et al. Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions. Science https://doi.org/10.1126/science.abb9789 (2020).
Buckee, C. O. et al. Aggregated mobility data could help fight COVID-19. Science 368, 145–146 (2020).
pubmed: 32205458
De Oliveira, S. B. et al. Monitoring social distancing and SARS-CoV-2 transmission in Brazil using cell phone mobility data. Preprint at medRxiv https://doi.org/10.1101/2020.04.30.20082172 (2020).
Kraemer, M. U. G. et al. The effect of human mobility and control measures on the COVID-19 epidemic in China. Science 368, 493–497 (2020).
doi: 10.1126/science.abb4218
Nouvellet, P. et al. Report 26: Reduction in Mobility and COVID-19 Transmission (Imperial College COVID-19 Response Team, 2020).
Wu, X. et al. Co-infection with SARS-CoV-2 and influenza A virus in patient with pneumonia, China. Emerg. Infect. Dis. https://doi.org/10.3201/eid2606.200299 (2020).
Kim, D., Quinn, J., Pinsky, B., Shah, N. H. & Brown, I. Rates of co-infection between SARS-CoV-2 and other respiratory pathogens. J. Am. Med. Assoc. https://doi.org/10.1001/jama.2020.6266 (2020).
Cuadrado-Payan, E. et al. SARS-CoV-2 and influenza virus co-infection. Lancet 395, e84 (2020).
doi: 10.1016/S0140-6736(20)31052-7
Zheng, X. et al. Co-infection of SARS-CoV-2 and influenza virus in early stage of the COVID-19 epidemic in Wuhan, China. J. Infect. https://doi.org/10.1016/j.jinf.2020.05.041 (2020).
Asner, S. A. et al. Clinical disease severity of respiratory viral co-infection versus single viral infection: a systematic review and meta-analysis. PLoS ONE 9, e99392 (2014).
doi: 10.1371/journal.pone.0099392
Black, A., MacCannell, D. R., Sibley, T. R. & Bedford, T. Ten recommendations for supporting open pathogen genomic analysis in public health. Nat. Med. https://doi.org/10.1038/s41591-020-0935-z (2020).
Deng, X. et al. Genomic surveillance reveals multiple introductions of SARS-CoV-2 into Northern California. Science https://doi.org/10.1126/science.abb9263 (2020).
Lu, J. et al. Genomic epidemiology of SARS-CoV-2 in Guangdong province, China. Cell 181, 997–1003.e9 (2020).
doi: 10.1016/j.cell.2020.04.023
Coronavirus COVID-19 Diretrizes para Diagnostico e Tratamento da COVID-19 (Ministério da Saúde do Brasil, 2020).
COVID-19 Coding in ICD-10 (WHO, 2020); https://www.who.int/classifications/icd/COVID-19-coding-icd10.pdf?ua=1
Wölfel, R. et al. Virological assessment of hospitalized patients with COVID-2019. Nature https://doi.org/10.1038/s41586-020-2196-x (2020).
Medel, C. H., Catalan, C. C., Vidou, M. A. F. & Perez, E. S. The Galileo ground segment integrity algorithms: design and performance. Int. J. Navigation Observation https://doi.org/10.1155/2008/178927 (2008).

Auteurs

William Marciel de Souza (WM)

Centro de Pesquisa em Virologia, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil.

Lewis Fletcher Buss (LF)

Instituto de Medicina Tropical, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.

Darlan da Silva Candido (DDS)

Instituto de Medicina Tropical, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
Department of Zoology, University of Oxford, Oxford, UK.

Jean-Paul Carrera (JP)

Department of Zoology, University of Oxford, Oxford, UK.
Department of Research in Virology and Biotechnology, Gorgas Memorial Institute of Health Studies, Panama City, Panama.

Sabrina Li (S)

School of Geography and the Environment, University of Oxford, Oxford, UK.

Alexander E Zarebski (AE)

Department of Zoology, University of Oxford, Oxford, UK.

Rafael Henrique Moraes Pereira (RHM)

Institute for Applied Economic Research (IPEA), Brasília, Brazil.

Carlos A Prete (CA)

Escola Politécnica, Universidade de São Paulo, São Paulo, Brazil.

Andreza Aruska de Souza-Santos (AA)

Brazilian Studies Programme, Latin American Centre, University of Oxford, Oxford, UK.

Kris V Parag (KV)

MRC Centre for Global Infectious Disease Analysis, J-IDEA, Imperial College London, London, UK.

Maria Carolina T D Belotti (MCTD)

Escola Politécnica, Universidade de São Paulo, São Paulo, Brazil.

Maria F Vincenti-Gonzalez (MF)

Department of Medical Microbiology and Infection Prevention, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.

Janey Messina (J)

School of Geography and the Environment, University of Oxford, Oxford, UK.
Oxford School of Global and Area Studies, University of Oxford, Oxford, UK.

Flavia Cristina da Silva Sales (FC)

Instituto de Medicina Tropical, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.

Pamela Dos Santos Andrade (PDS)

Instituto de Medicina Tropical, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.

Vítor Heloiz Nascimento (VH)

Escola Politécnica, Universidade de São Paulo, São Paulo, Brazil.

Fabio Ghilardi (F)

Instituto de Medicina Tropical, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.

Leandro Abade (L)

Department of Zoology, University of Oxford, Oxford, UK.

Bernardo Gutierrez (B)

Department of Zoology, University of Oxford, Oxford, UK.
School of Biological and Environmental Sciences, Universidad San Francisco de Quito (USFQ), Quito, Ecuador.

Moritz U G Kraemer (MUG)

Department of Zoology, University of Oxford, Oxford, UK.
Harvard Medical School, Harvard University, Boston, MA, USA.
Boston Children's Hospital, Boston, MA, USA.

Carlos K V Braga (CKV)

Institute for Applied Economic Research (IPEA), Brasília, Brazil.

Renato Santana Aguiar (RS)

Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.

Neal Alexander (N)

MRC Tropical Epidemiology Group, Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.

Philippe Mayaud (P)

Department of Clinical Research, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.

Oliver J Brady (OJ)

Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.

Izabel Marcilio (I)

Núcleo de Vigilância Epidemiológica do Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.

Nelson Gouveia (N)

Departamento de Medicina Preventiva, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.

Guangdi Li (G)

Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.

Adriana Tami (A)

Department of Medical Microbiology and Infection Prevention, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.

Silvano Barbosa de Oliveira (SB)

Secretariat of Health Surveillance, Department of Immunization and Communicable Diseases, Brazilian Ministry of Health, Brasília, Brazil.

Victor Bertollo Gomes Porto (VBG)

Secretariat of Health Surveillance, Department of Immunization and Communicable Diseases, Brazilian Ministry of Health, Brasília, Brazil.

Fabiana Ganem (F)

Secretariat of Health Surveillance, Department of Immunization and Communicable Diseases, Brazilian Ministry of Health, Brasília, Brazil.

Walquiria Aparecida Ferreira de Almeida (WAF)

Secretariat of Health Surveillance, Department of Immunization and Communicable Diseases, Brazilian Ministry of Health, Brasília, Brazil.

Francieli Fontana Sutile Tardetti Fantinato (FFST)

Secretariat of Health Surveillance, Department of Immunization and Communicable Diseases, Brazilian Ministry of Health, Brasília, Brazil.

Eduardo Marques Macário (EM)

Secretariat of Health Surveillance, Brazilian Ministry of Health, Brasília, Brazil.

Wanderson Kleber de Oliveira (WK)

Secretariat of Health Surveillance, Brazilian Ministry of Health, Brasília, Brazil.

Mauricio L Nogueira (ML)

Faculdade de Medicina de São José do Rio Preto, São Jose do Rio Preto, Brazil.

Oliver G Pybus (OG)

Department of Zoology, University of Oxford, Oxford, UK.

Chieh-Hsi Wu (CH)

Mathematical Sciences, University of Southampton, Southampton, UK.

Julio Croda (J)

Secretariat of Health Surveillance, Brazilian Ministry of Health, Brasília, Brazil. juliocroda@gmail.com.
Laboratório de Pesquisa em Ciências da Saúde, Universidade Federal da Grande Dourados, Dourados, Brazil. juliocroda@gmail.com.
Fundação Oswaldo Cruz, Campo Grande, Brazil. juliocroda@gmail.com.
Department of Epidemiology of Microbial Diseases, Yale School of Public Health, Yale University, New Haven, CT, USA. juliocroda@gmail.com.

Ester C Sabino (EC)

Instituto de Medicina Tropical, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.

Nuno Rodrigues Faria (NR)

Instituto de Medicina Tropical, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil. nfaria@ic.ac.uk.
Department of Zoology, University of Oxford, Oxford, UK. nfaria@ic.ac.uk.
MRC Centre for Global Infectious Disease Analysis, J-IDEA, Imperial College London, London, UK. nfaria@ic.ac.uk.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH