Were public interventions relevant for containing the covid-19 pandemic in Brazil in 2020?

Detalhes bibliográficos
Autor(a) principal: Cattani, Vitória Berg
Data de Publicação: 2023
Outros Autores: Santos, Thaís Araujo dos, Ribeiro-Alves, Marcelo, Castro-Alves, Julio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista de Saúde Pública
Texto Completo: https://www.revistas.usp.br/rsp/article/view/219872
Resumo: OBJECTIVE: Flattening the curve was the most promoted public health strategy worldwide, during the pandemic, to slow down the spread of the SARS-CoV-2 virus, and, consequently, to avoid overloading the healthcare systems. In Brazil, a relative success of public policies was evidenced. However, the association between public policies and the “flatten the curve” objectives remain unclear, as well as the association of different policies to reach this aim. This study aims to verify if the adoption of different public policies was associated with the flattening of the infection and death curves by covid-19 first wave in 2020. METHODS: Data from the Sistema de Informação da Vigilância Epidemiológica da Gripe (Influenza Epidemiological Surveillance Information System – SIVEP-Gripe) and the Instituto Brasileiro de Geografia e Estatística (Brazilian Institute of Geography and Statistics – IBGE) were used to compute standardized incidence and mortality rates. The Oxford Covid-19 Government Response Tracker (OxCGRT) was used to obtain information about governmental responses related to the mitigation of pandemic effects, and the Human Development Index (HDI) was used as a measure of socioeconomic status. A non-linear least-square method was used to estimate parameters of the five-parameter sigmoidal curve, obtaining the time to reach the peak and the incremental rate of the curves. Additionally, ordinary least-square linear models were used to assess the correlation between the curves and the public policies adopted. RESULTS: Out of 51 municipalities, 261,326 patients had SARS-CoV-2 infection. Stringency Index was associated with reducing covid-19 incremental incidence and death rates, in addition to delaying the time to reach the peak of both pandemic curves. Considering both parameters, economic support policies did not affect the incidence nor the mortality rate curves. CONCLUSION: The evidence highlighted the importance and effectiveness of social distancing policies during the first year of the pandemic in Brazil, flattening the curves of mortality and incidence rates. Other policies, such as those focused on economic support, were not effective in flattening the curves but met humanitarian and social outcomes.
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spelling Were public interventions relevant for containing the covid-19 pandemic in Brazil in 2020?Public PolicyMortality SARS-CoV-2COVID-19Communicable Disease ControlOBJECTIVE: Flattening the curve was the most promoted public health strategy worldwide, during the pandemic, to slow down the spread of the SARS-CoV-2 virus, and, consequently, to avoid overloading the healthcare systems. In Brazil, a relative success of public policies was evidenced. However, the association between public policies and the “flatten the curve” objectives remain unclear, as well as the association of different policies to reach this aim. This study aims to verify if the adoption of different public policies was associated with the flattening of the infection and death curves by covid-19 first wave in 2020. METHODS: Data from the Sistema de Informação da Vigilância Epidemiológica da Gripe (Influenza Epidemiological Surveillance Information System – SIVEP-Gripe) and the Instituto Brasileiro de Geografia e Estatística (Brazilian Institute of Geography and Statistics – IBGE) were used to compute standardized incidence and mortality rates. The Oxford Covid-19 Government Response Tracker (OxCGRT) was used to obtain information about governmental responses related to the mitigation of pandemic effects, and the Human Development Index (HDI) was used as a measure of socioeconomic status. A non-linear least-square method was used to estimate parameters of the five-parameter sigmoidal curve, obtaining the time to reach the peak and the incremental rate of the curves. Additionally, ordinary least-square linear models were used to assess the correlation between the curves and the public policies adopted. RESULTS: Out of 51 municipalities, 261,326 patients had SARS-CoV-2 infection. Stringency Index was associated with reducing covid-19 incremental incidence and death rates, in addition to delaying the time to reach the peak of both pandemic curves. Considering both parameters, economic support policies did not affect the incidence nor the mortality rate curves. CONCLUSION: The evidence highlighted the importance and effectiveness of social distancing policies during the first year of the pandemic in Brazil, flattening the curves of mortality and incidence rates. Other policies, such as those focused on economic support, were not effective in flattening the curves but met humanitarian and social outcomes.Universidade de São Paulo. Faculdade de Saúde Pública2023-10-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/xmlhttps://www.revistas.usp.br/rsp/article/view/21987210.11606/s1518-8787.2023057005030Revista de Saúde Pública; Vol. 57 No. 1 (2023); 77Revista de Saúde Pública; Vol. 57 Núm. 1 (2023); 77Revista de Saúde Pública; v. 57 n. 1 (2023); 771518-87870034-8910reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/rsp/article/view/219872/200740https://www.revistas.usp.br/rsp/article/view/219872/200739Copyright (c) 2023 Vitória Berg Cattani, Thaís Araujo dos Santos, Marcelo Ribeiro-Alves, Julio Castro-Alveshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCattani, Vitória BergSantos, Thaís Araujo dosRibeiro-Alves, MarceloCastro-Alves, Julio2023-12-07T19:05:40Zoai:revistas.usp.br:article/219872Revistahttps://www.revistas.usp.br/rsp/indexONGhttps://www.revistas.usp.br/rsp/oairevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2023-12-07T19:05:40Revista de Saúde Pública - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Were public interventions relevant for containing the covid-19 pandemic in Brazil in 2020?
title Were public interventions relevant for containing the covid-19 pandemic in Brazil in 2020?
spellingShingle Were public interventions relevant for containing the covid-19 pandemic in Brazil in 2020?
Cattani, Vitória Berg
Public Policy
Mortality
SARS-CoV-2
COVID-19
Communicable Disease Control
title_short Were public interventions relevant for containing the covid-19 pandemic in Brazil in 2020?
title_full Were public interventions relevant for containing the covid-19 pandemic in Brazil in 2020?
title_fullStr Were public interventions relevant for containing the covid-19 pandemic in Brazil in 2020?
title_full_unstemmed Were public interventions relevant for containing the covid-19 pandemic in Brazil in 2020?
title_sort Were public interventions relevant for containing the covid-19 pandemic in Brazil in 2020?
author Cattani, Vitória Berg
author_facet Cattani, Vitória Berg
Santos, Thaís Araujo dos
Ribeiro-Alves, Marcelo
Castro-Alves, Julio
author_role author
author2 Santos, Thaís Araujo dos
Ribeiro-Alves, Marcelo
Castro-Alves, Julio
author2_role author
author
author
dc.contributor.author.fl_str_mv Cattani, Vitória Berg
Santos, Thaís Araujo dos
Ribeiro-Alves, Marcelo
Castro-Alves, Julio
dc.subject.por.fl_str_mv Public Policy
Mortality
SARS-CoV-2
COVID-19
Communicable Disease Control
topic Public Policy
Mortality
SARS-CoV-2
COVID-19
Communicable Disease Control
description OBJECTIVE: Flattening the curve was the most promoted public health strategy worldwide, during the pandemic, to slow down the spread of the SARS-CoV-2 virus, and, consequently, to avoid overloading the healthcare systems. In Brazil, a relative success of public policies was evidenced. However, the association between public policies and the “flatten the curve” objectives remain unclear, as well as the association of different policies to reach this aim. This study aims to verify if the adoption of different public policies was associated with the flattening of the infection and death curves by covid-19 first wave in 2020. METHODS: Data from the Sistema de Informação da Vigilância Epidemiológica da Gripe (Influenza Epidemiological Surveillance Information System – SIVEP-Gripe) and the Instituto Brasileiro de Geografia e Estatística (Brazilian Institute of Geography and Statistics – IBGE) were used to compute standardized incidence and mortality rates. The Oxford Covid-19 Government Response Tracker (OxCGRT) was used to obtain information about governmental responses related to the mitigation of pandemic effects, and the Human Development Index (HDI) was used as a measure of socioeconomic status. A non-linear least-square method was used to estimate parameters of the five-parameter sigmoidal curve, obtaining the time to reach the peak and the incremental rate of the curves. Additionally, ordinary least-square linear models were used to assess the correlation between the curves and the public policies adopted. RESULTS: Out of 51 municipalities, 261,326 patients had SARS-CoV-2 infection. Stringency Index was associated with reducing covid-19 incremental incidence and death rates, in addition to delaying the time to reach the peak of both pandemic curves. Considering both parameters, economic support policies did not affect the incidence nor the mortality rate curves. CONCLUSION: The evidence highlighted the importance and effectiveness of social distancing policies during the first year of the pandemic in Brazil, flattening the curves of mortality and incidence rates. Other policies, such as those focused on economic support, were not effective in flattening the curves but met humanitarian and social outcomes.
publishDate 2023
dc.date.none.fl_str_mv 2023-10-26
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10.11606/s1518-8787.2023057005030
url https://www.revistas.usp.br/rsp/article/view/219872
identifier_str_mv 10.11606/s1518-8787.2023057005030
dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv https://www.revistas.usp.br/rsp/article/view/219872/200740
https://www.revistas.usp.br/rsp/article/view/219872/200739
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Universidade de São Paulo. Faculdade de Saúde Pública
publisher.none.fl_str_mv Universidade de São Paulo. Faculdade de Saúde Pública
dc.source.none.fl_str_mv Revista de Saúde Pública; Vol. 57 No. 1 (2023); 77
Revista de Saúde Pública; Vol. 57 Núm. 1 (2023); 77
Revista de Saúde Pública; v. 57 n. 1 (2023); 77
1518-8787
0034-8910
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