Statistical Modeling of Deaths from COVID-19 Influenced by Social Isolation in Latin American Countries

Detalhes bibliográficos
Autor(a) principal: Silva, Rafael Andre da [UNESP]
Data de Publicação: 2022
Outros Autores: Ferreira, Luiz Philipe de Souza, Leite, Jean Michel Rocha Sampaio, Tiraboschi, Fernanda Assunção, Valente, Thiago Maciel, Roda, Vinicius Moraes de Paiva, Sanchez, Jeniffer Johana Duarte
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.4269/ajtmh.21-0217
http://hdl.handle.net/11449/240048
Resumo: Social isolation is extremely important to minimize the effects of a pandemic. Latin American countries have similar socioeconomic characteristics and health system infrastructures. These countries face difficulties in dealing with the COVID-19 pandemic, and some of them have very high death rates. The government stringency index (GSI) of 12 Latin American countries was gathered from the Oxford COVID-19 Government Response Tracker project. The GSI is calculated by considering nine social distancing and isolation measures. Population data from the United Nations Population Fund and number-of-deaths data were collected from the dashboard of the WHO. We performed an analysis of the data collected from March through December 2020 using a mixed linear model. Peru, Brazil, Chile, Bolivia, Colombia, Argentina, and Ecuador had the highest death rates, with an increasing trend over time. Suriname, Venezuela, Uruguay, Paraguay, and Guyana had the lowest death rates, and these rates remained steady. The GSI in most countries followed the same pattern during the months analyzed. In other words, high indices at the beginning of the pandemic and lower indices in the latter months, whereas the number of deaths increased during the entire period. Almost no country kept its GSI high for a long time, especially from October to December. Time and GSI, as well as their interaction, were highly significant. As their interaction increases, the death rate decreases. In conclusion, a greater GSI at the start of the COVID-19 pandemic was associated with a decrease in the number of deaths over time in Latin American countries.
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spelling Statistical Modeling of Deaths from COVID-19 Influenced by Social Isolation in Latin American CountriesSocial isolation is extremely important to minimize the effects of a pandemic. Latin American countries have similar socioeconomic characteristics and health system infrastructures. These countries face difficulties in dealing with the COVID-19 pandemic, and some of them have very high death rates. The government stringency index (GSI) of 12 Latin American countries was gathered from the Oxford COVID-19 Government Response Tracker project. The GSI is calculated by considering nine social distancing and isolation measures. Population data from the United Nations Population Fund and number-of-deaths data were collected from the dashboard of the WHO. We performed an analysis of the data collected from March through December 2020 using a mixed linear model. Peru, Brazil, Chile, Bolivia, Colombia, Argentina, and Ecuador had the highest death rates, with an increasing trend over time. Suriname, Venezuela, Uruguay, Paraguay, and Guyana had the lowest death rates, and these rates remained steady. The GSI in most countries followed the same pattern during the months analyzed. In other words, high indices at the beginning of the pandemic and lower indices in the latter months, whereas the number of deaths increased during the entire period. Almost no country kept its GSI high for a long time, especially from October to December. Time and GSI, as well as their interaction, were highly significant. As their interaction increases, the death rate decreases. In conclusion, a greater GSI at the start of the COVID-19 pandemic was associated with a decrease in the number of deaths over time in Latin American countries.Life Systems Biology Graduate Program Institute of Biomedical Sciences University of São Paulo (ICB/USP), SPBiosciences Graduate Program Intitute of Biosciences Letters and Exact Sciences São Paulo State University (IBILCE/UNESP), São Jose SP do Rio PretoStructural and Functional Biology Graduate Program Paulista School of Medicine Federal University of Sao Paulo (EPM/UNIFESP), SPDepartment of Physiotherapy University of Fortaleza (UNIFOR), CESchool of Public Health University of São Paulo (FSP/USP), SPDepartment of Medicine University of Fortaleza (UNIFOR), CEDepartment of Statistics and Applied Math Federal University of Ceara (UFC), CEBiosciences Graduate Program Intitute of Biosciences Letters and Exact Sciences São Paulo State University (IBILCE/UNESP), São Jose SP do Rio PretoUniversidade de São Paulo (USP)Universidade Estadual Paulista (UNESP)University of Fortaleza (UNIFOR)Federal University of Ceara (UFC)Silva, Rafael Andre da [UNESP]Ferreira, Luiz Philipe de SouzaLeite, Jean Michel Rocha SampaioTiraboschi, Fernanda AssunçãoValente, Thiago MacielRoda, Vinicius Moraes de PaivaSanchez, Jeniffer Johana Duarte2023-03-01T19:59:09Z2023-03-01T19:59:09Z2022-05-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1486-1490http://dx.doi.org/10.4269/ajtmh.21-0217American Journal of Tropical Medicine and Hygiene, v. 106, n. 5, p. 1486-1490, 2022.1476-16450002-9637http://hdl.handle.net/11449/24004810.4269/ajtmh.21-02172-s2.0-85129946643Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengAmerican Journal of Tropical Medicine and Hygieneinfo:eu-repo/semantics/openAccess2023-03-01T19:59:10Zoai:repositorio.unesp.br:11449/240048Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:50:50.107554Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Statistical Modeling of Deaths from COVID-19 Influenced by Social Isolation in Latin American Countries
title Statistical Modeling of Deaths from COVID-19 Influenced by Social Isolation in Latin American Countries
spellingShingle Statistical Modeling of Deaths from COVID-19 Influenced by Social Isolation in Latin American Countries
Silva, Rafael Andre da [UNESP]
title_short Statistical Modeling of Deaths from COVID-19 Influenced by Social Isolation in Latin American Countries
title_full Statistical Modeling of Deaths from COVID-19 Influenced by Social Isolation in Latin American Countries
title_fullStr Statistical Modeling of Deaths from COVID-19 Influenced by Social Isolation in Latin American Countries
title_full_unstemmed Statistical Modeling of Deaths from COVID-19 Influenced by Social Isolation in Latin American Countries
title_sort Statistical Modeling of Deaths from COVID-19 Influenced by Social Isolation in Latin American Countries
author Silva, Rafael Andre da [UNESP]
author_facet Silva, Rafael Andre da [UNESP]
Ferreira, Luiz Philipe de Souza
Leite, Jean Michel Rocha Sampaio
Tiraboschi, Fernanda Assunção
Valente, Thiago Maciel
Roda, Vinicius Moraes de Paiva
Sanchez, Jeniffer Johana Duarte
author_role author
author2 Ferreira, Luiz Philipe de Souza
Leite, Jean Michel Rocha Sampaio
Tiraboschi, Fernanda Assunção
Valente, Thiago Maciel
Roda, Vinicius Moraes de Paiva
Sanchez, Jeniffer Johana Duarte
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Universidade Estadual Paulista (UNESP)
University of Fortaleza (UNIFOR)
Federal University of Ceara (UFC)
dc.contributor.author.fl_str_mv Silva, Rafael Andre da [UNESP]
Ferreira, Luiz Philipe de Souza
Leite, Jean Michel Rocha Sampaio
Tiraboschi, Fernanda Assunção
Valente, Thiago Maciel
Roda, Vinicius Moraes de Paiva
Sanchez, Jeniffer Johana Duarte
description Social isolation is extremely important to minimize the effects of a pandemic. Latin American countries have similar socioeconomic characteristics and health system infrastructures. These countries face difficulties in dealing with the COVID-19 pandemic, and some of them have very high death rates. The government stringency index (GSI) of 12 Latin American countries was gathered from the Oxford COVID-19 Government Response Tracker project. The GSI is calculated by considering nine social distancing and isolation measures. Population data from the United Nations Population Fund and number-of-deaths data were collected from the dashboard of the WHO. We performed an analysis of the data collected from March through December 2020 using a mixed linear model. Peru, Brazil, Chile, Bolivia, Colombia, Argentina, and Ecuador had the highest death rates, with an increasing trend over time. Suriname, Venezuela, Uruguay, Paraguay, and Guyana had the lowest death rates, and these rates remained steady. The GSI in most countries followed the same pattern during the months analyzed. In other words, high indices at the beginning of the pandemic and lower indices in the latter months, whereas the number of deaths increased during the entire period. Almost no country kept its GSI high for a long time, especially from October to December. Time and GSI, as well as their interaction, were highly significant. As their interaction increases, the death rate decreases. In conclusion, a greater GSI at the start of the COVID-19 pandemic was associated with a decrease in the number of deaths over time in Latin American countries.
publishDate 2022
dc.date.none.fl_str_mv 2022-05-01
2023-03-01T19:59:09Z
2023-03-01T19:59:09Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.4269/ajtmh.21-0217
American Journal of Tropical Medicine and Hygiene, v. 106, n. 5, p. 1486-1490, 2022.
1476-1645
0002-9637
http://hdl.handle.net/11449/240048
10.4269/ajtmh.21-0217
2-s2.0-85129946643
url http://dx.doi.org/10.4269/ajtmh.21-0217
http://hdl.handle.net/11449/240048
identifier_str_mv American Journal of Tropical Medicine and Hygiene, v. 106, n. 5, p. 1486-1490, 2022.
1476-1645
0002-9637
10.4269/ajtmh.21-0217
2-s2.0-85129946643
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv American Journal of Tropical Medicine and Hygiene
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1486-1490
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
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