Assessing the nationwide impact of COVID-19 mitigation policies on the transmission rate of SARS-CoV-2 in Brazil
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2021 |
| Outros Autores: | , , , , , , , , , , , , |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Repositório Institucional da FIOCRUZ (ARCA) |
| Texto Completo: | https://www.arca.fiocruz.br/handle/icict/47734 |
Resumo: | Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brazil (CAPES) – Finance Code 001 |
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Jorge, Daniel C. P.Rodrigues, Moreno S.Silva, Mateus S.Cardim, Luciana L.Silva, Nívea B. daSilveira, Ismael H.Silva, Vivian A. F.Pereira, Felipe A. C.Azevedo, Arthur R. deAmad, Alan A. S.Pinho, Suani T. R.Andrade, Roberto F. S.Ramos, Pablo I. P.Oliveira, Juliane F.2021-06-16T19:03:42Z2021-06-16T19:03:42Z2021JORGE, Daniel C. P. et al. Assessing the nationwide impact of COVID-19 mitigation policies on the transmission rate of SARS-CoV-2 in Brazil. Epidemics, v. 35, n. 100465, p. 1-12, June 2021.1755-4365https://www.arca.fiocruz.br/handle/icict/4773410.1016/j.epidem.2021.100465Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brazil (CAPES) – Finance Code 001International Cooperation grant (process number INT0002/2016) from Bahia Research Foundation (FAPESB), BrazilNational Institute of Science and Technology - Complex Systems from CNPq, BrazilCenter of Data and Knowledge Integration for Health (CIDACS) through the Zika Platform - a longterm surveillance platform for Zika virus and microcephaly (Unified Health System (SUS), Brazilian Ministry of Health)Scientific Initiation scholarship from CNPq, Brazil (process number 117568/2019-8)Scientific Initiation scholarship from CNPq, Brazil (process number 116731/2019-2)Universidade Federal da Bahia. Instituto de Física. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Fiocruz Rondônia. Porto Velho, RO, Brasil.Universidade Federal da Bahia. Instituto de Física. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para Saúde. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para Saúde. Salvador, BA, Brasil / Universidade Federal da Bahia. Instituto de Matemática. Salvador, BA, Brasil.Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para Saúde. Salvador, BA, Brasil.Universidade de São Paulo. Instituto de Física. São Paulo, SP, Brasil.Universidade Federal da Bahia. Instituto de Matemática. Salvador, BA, Brasil.Swansea University. College of Engineering. Swansea, United Kingdom.Universidade Federal da Bahia. Instituto de Física. Salvador, BA, Brasil.Universidade Federal da Bahia. Instituto de Física. Salvador, BA, Brasil / Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para Saúde. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para Saúde. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Integração de Dados e Conhecimento para Saúde. Salvador, BA, Brasil / Universidade do Porto. Centro de Matemática. Faculdade de Ciências. Departamento de Matemática. Porto, Portugal.COVID-19 is now identified in almost all countries in the world, with poorer regions being particularly more disadvantaged to efficiently mitigate the impacts of the pandemic. In the absence of efficient therapeutics or large-scale vaccination, control strategies are currently based on non-pharmaceutical interventions, comprising changes in population behavior and governmental interventions, among which the prohibition of mass gatherings, closure of non-essential establishments, quarantine and movement restrictions. In this work we analyzed the effects of 707 governmental interventions published up to May 22, 2020, and population adherence thereof, on the dynamics of COVID-19 cases across all 27 Brazilian states, with emphasis on state capitals and remaining inland cities. A generalized SEIR (Susceptible, Exposed, Infected and Removed) model with a time-varying transmission rate (TR), that considers transmission by asymptomatic individuals, is presented. We analyze the effect of both the extent of enforced measures across Brazilian states and population movement on the changes in the TR and effective reproduction number. The social mobility reduction index, a measure of population movement, together with the stringency index, adapted to incorporate the degree of restrictions imposed by governmental regulations, were used in conjunction to quantify and compare the effects of varying degrees of policy strictness across Brazilian states. Our results show that population adherence to social distance recommendations plays an important role for the effectiveness of interventions and represents a major challenge to the control of COVID-19 in low- and middle-income countries.engElsevierCOVID-19BrasilQuarentenaPolíticasVacinaçãoSARS-CoV-2BrazilCOVID-19Mathematical modelingNon-pharmaceutical interventionsPublic policiesTransmission rateAssessing the nationwide impact of COVID-19 mitigation policies on the transmission rate of SARS-CoV-2 in Brazilinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-83097https://www.arca.fiocruz.br/bitstream/icict/47734/1/license.txt36b51ef91c52b5338d9d29ba0cc807bcMD51ORIGINALJorge, Daniel C.P Assessing....pdfJorge, Daniel C.P Assessing....pdfapplication/pdf1821588https://www.arca.fiocruz.br/bitstream/icict/47734/2/Jorge%2c%20Daniel%20C.P%20Assessing....pdfbfbf72977da2af8432e1f2673d8dc36aMD52TEXTJorge, Daniel C.P Assessing....pdf.txtJorge, Daniel C.P Assessing....pdf.txtExtracted texttext/plain67586https://www.arca.fiocruz.br/bitstream/icict/47734/3/Jorge%2c%20Daniel%20C.P%20Assessing....pdf.txtd9e6a49ecb3fcd6dee87725f626481d3MD53icict/477342023-03-15 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| dc.title.en.fl_str_mv |
Assessing the nationwide impact of COVID-19 mitigation policies on the transmission rate of SARS-CoV-2 in Brazil |
| title |
Assessing the nationwide impact of COVID-19 mitigation policies on the transmission rate of SARS-CoV-2 in Brazil |
| spellingShingle |
Assessing the nationwide impact of COVID-19 mitigation policies on the transmission rate of SARS-CoV-2 in Brazil Jorge, Daniel C. P. COVID-19 Brasil Quarentena Políticas Vacinação SARS-CoV-2 Brazil COVID-19 Mathematical modeling Non-pharmaceutical interventions Public policies Transmission rate |
| title_short |
Assessing the nationwide impact of COVID-19 mitigation policies on the transmission rate of SARS-CoV-2 in Brazil |
| title_full |
Assessing the nationwide impact of COVID-19 mitigation policies on the transmission rate of SARS-CoV-2 in Brazil |
| title_fullStr |
Assessing the nationwide impact of COVID-19 mitigation policies on the transmission rate of SARS-CoV-2 in Brazil |
| title_full_unstemmed |
Assessing the nationwide impact of COVID-19 mitigation policies on the transmission rate of SARS-CoV-2 in Brazil |
| title_sort |
Assessing the nationwide impact of COVID-19 mitigation policies on the transmission rate of SARS-CoV-2 in Brazil |
| author |
Jorge, Daniel C. P. |
| author_facet |
Jorge, Daniel C. P. Rodrigues, Moreno S. Silva, Mateus S. Cardim, Luciana L. Silva, Nívea B. da Silveira, Ismael H. Silva, Vivian A. F. Pereira, Felipe A. C. Azevedo, Arthur R. de Amad, Alan A. S. Pinho, Suani T. R. Andrade, Roberto F. S. Ramos, Pablo I. P. Oliveira, Juliane F. |
| author_role |
author |
| author2 |
Rodrigues, Moreno S. Silva, Mateus S. Cardim, Luciana L. Silva, Nívea B. da Silveira, Ismael H. Silva, Vivian A. F. Pereira, Felipe A. C. Azevedo, Arthur R. de Amad, Alan A. S. Pinho, Suani T. R. Andrade, Roberto F. S. Ramos, Pablo I. P. Oliveira, Juliane F. |
| author2_role |
author author author author author author author author author author author author author |
| dc.contributor.author.fl_str_mv |
Jorge, Daniel C. P. Rodrigues, Moreno S. Silva, Mateus S. Cardim, Luciana L. Silva, Nívea B. da Silveira, Ismael H. Silva, Vivian A. F. Pereira, Felipe A. C. Azevedo, Arthur R. de Amad, Alan A. S. Pinho, Suani T. R. Andrade, Roberto F. S. Ramos, Pablo I. P. Oliveira, Juliane F. |
| dc.subject.other.pt_BR.fl_str_mv |
COVID-19 Brasil Quarentena Políticas Vacinação SARS-CoV-2 |
| topic |
COVID-19 Brasil Quarentena Políticas Vacinação SARS-CoV-2 Brazil COVID-19 Mathematical modeling Non-pharmaceutical interventions Public policies Transmission rate |
| dc.subject.en.en.fl_str_mv |
Brazil COVID-19 Mathematical modeling Non-pharmaceutical interventions Public policies |
| dc.subject.en.pt_BR.fl_str_mv |
Transmission rate |
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brazil (CAPES) – Finance Code 001 |
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2021 |
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2021-06-16T19:03:42Z |
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2021-06-16T19:03:42Z |
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2021 |
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JORGE, Daniel C. P. et al. Assessing the nationwide impact of COVID-19 mitigation policies on the transmission rate of SARS-CoV-2 in Brazil. Epidemics, v. 35, n. 100465, p. 1-12, June 2021. |
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1755-4365 |
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10.1016/j.epidem.2021.100465 |
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JORGE, Daniel C. P. et al. Assessing the nationwide impact of COVID-19 mitigation policies on the transmission rate of SARS-CoV-2 in Brazil. Epidemics, v. 35, n. 100465, p. 1-12, June 2021. 1755-4365 10.1016/j.epidem.2021.100465 |
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