دورية أكاديمية
Epidemiological and clinical characteristics of the COVID-19 epidemic in Brazil.
العنوان: | Epidemiological and clinical characteristics of the COVID-19 epidemic in Brazil. |
---|---|
المؤلفون: | de Souza WM; Centro de Pesquisa em Virologia, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil., Buss LF; Instituto de Medicina Tropical, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil., Candido DDS; Instituto de Medicina Tropical, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.; Department of Zoology, University of Oxford, Oxford, UK., 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., Li S; School of Geography and the Environment, University of Oxford, Oxford, UK., Zarebski AE; Department of Zoology, University of Oxford, Oxford, UK., Pereira RHM; Institute for Applied Economic Research (IPEA), Brasília, Brazil., Prete CA Jr; Escola Politécnica, Universidade de São Paulo, São Paulo, Brazil., de Souza-Santos AA; Brazilian Studies Programme, Latin American Centre, University of Oxford, Oxford, UK., Parag KV; MRC Centre for Global Infectious Disease Analysis, J-IDEA, Imperial College London, London, UK., Belotti MCTD; Escola Politécnica, Universidade de São Paulo, São Paulo, Brazil., Vincenti-Gonzalez MF; Department of Medical Microbiology and Infection Prevention, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands., 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., da Silva Sales FC; Instituto de Medicina Tropical, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil., Andrade PDS; Instituto de Medicina Tropical, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil., Nascimento VH; Escola Politécnica, Universidade de São Paulo, São Paulo, Brazil., Ghilardi F; Instituto de Medicina Tropical, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil., Abade L; Department of Zoology, University of Oxford, Oxford, UK., Gutierrez B; Department of Zoology, University of Oxford, Oxford, UK.; School of Biological and Environmental Sciences, Universidad San Francisco de Quito (USFQ), Quito, Ecuador., 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., Braga CKV; Institute for Applied Economic Research (IPEA), Brasília, Brazil., Aguiar RS; Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil., 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., Mayaud P; Department of Clinical Research, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK., 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., Marcilio I; Núcleo de Vigilância Epidemiológica do Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil., Gouveia N; Departamento de Medicina Preventiva, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil., Li G; Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China., Tami A; Department of Medical Microbiology and Infection Prevention, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands., de Oliveira SB; Secretariat of Health Surveillance, Department of Immunization and Communicable Diseases, Brazilian Ministry of Health, Brasília, Brazil., Porto VBG; Secretariat of Health Surveillance, Department of Immunization and Communicable Diseases, Brazilian Ministry of Health, Brasília, Brazil., Ganem F; Secretariat of Health Surveillance, Department of Immunization and Communicable Diseases, Brazilian Ministry of Health, Brasília, Brazil., de Almeida WAF; Secretariat of Health Surveillance, Department of Immunization and Communicable Diseases, Brazilian Ministry of Health, Brasília, Brazil., Fantinato FFST; Secretariat of Health Surveillance, Department of Immunization and Communicable Diseases, Brazilian Ministry of Health, Brasília, Brazil., Macário EM; Secretariat of Health Surveillance, Brazilian Ministry of Health, Brasília, Brazil., de Oliveira WK; Secretariat of Health Surveillance, Brazilian Ministry of Health, Brasília, Brazil., Nogueira ML; Faculdade de Medicina de São José do Rio Preto, São Jose do Rio Preto, Brazil., Pybus OG; Department of Zoology, University of Oxford, Oxford, UK., Wu CH; Mathematical Sciences, University of Southampton, Southampton, UK., 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., Sabino EC; Instituto de Medicina Tropical, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil., 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. |
المصدر: | Nature human behaviour [Nat Hum Behav] 2020 Aug; Vol. 4 (8), pp. 856-865. Date of Electronic Publication: 2020 Jul 31. |
نوع المنشور: | Journal Article; Research Support, Non-U.S. Gov't |
اللغة: | English |
بيانات الدورية: | Publisher: Springer Nature Publishing Country of Publication: England NLM ID: 101697750 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2397-3374 (Electronic) Linking ISSN: 23973374 NLM ISO Abbreviation: Nat Hum Behav Subsets: MEDLINE |
أسماء مطبوعة: | Original Publication: [London] : Springer Nature Publishing, [2017]- |
مواضيع طبية MeSH: | Coronavirus Infections*/diagnosis , Coronavirus Infections*/drug therapy , Coronavirus Infections*/mortality , Coronavirus Infections*/therapy , Coronavirus Infections*/transmission , Disease Transmission, Infectious*/prevention & control , Disease Transmission, Infectious*/statistics & numerical data , Influenza, Human*/diagnosis , Influenza, Human*/epidemiology , Influenza, Human*/virology , Pandemics* , Pneumonia, Viral*/diagnosis , Pneumonia, Viral*/mortality , Pneumonia, Viral*/therapy , Pneumonia, Viral*/transmission, Betacoronavirus/*isolation & purification, Adult ; Aged ; Brazil/epidemiology ; COVID-19 ; COVID-19 Testing ; Child ; Clinical Laboratory Techniques/methods ; Clinical Laboratory Techniques/statistics & numerical data ; Coinfection/epidemiology ; Female ; Hospitalization/statistics & numerical data ; Humans ; Infant ; Male ; Mortality ; SARS-CoV-2 ; Socioeconomic Factors ; COVID-19 Drug Treatment |
مستخلص: | 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 |
References: | Huang, C. et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 395, 497–506 (2020). (PMID: 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). (PMID: 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). (PMID: 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). (PMID: 10.1590/s1678-9946202062030) Candido, D. S. et al. Routes for COVID-19 importation in Brazil. J. Travel Med. 27, taaa042 (2020). (PMID: 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). (PMID: 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). (PMID: 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). (PMID: 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). (PMID: 32215535) Harris, P. A. et al. The REDCap consortium: building an international community of software platform partners. J. Biomed. Inform. 95, 103208 (2019). (PMID: 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). (PMID: 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). (PMID: 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). (PMID: 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). (PMID: 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). (PMID: 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). (PMID: 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). (PMID: 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). |
معلومات مُعتمدة: | MC_PC_19012 United Kingdom MRC_ Medical Research Council; MR/R010161/1 United Kingdom MRC_ Medical Research Council; MR/S019510/1 United Kingdom MRC_ Medical Research Council; 204311/Z/16/Z International Wellcome Trust (Wellcome); 206471/Z/17/Z International Wellcome Trust (Wellcome); MR/S0195/1 International RCUK | Medical Research Council (MRC); MR/R015600/1 United Kingdom MRC_ Medical Research Council |
تواريخ الأحداث: | Date Created: 20200802 Date Completed: 20200824 Latest Revision: 20221207 |
رمز التحديث: | 20221213 |
DOI: | 10.1038/s41562-020-0928-4 |
PMID: | 32737472 |
قاعدة البيانات: | MEDLINE |
تدمد: | 2397-3374 |
---|---|
DOI: | 10.1038/s41562-020-0928-4 |