The impact of socioeconomic vulnerability on COVID-19 outcomes and social distancing in Brazil

Bibliographic Details
Main Author: Lins-Filho, Paulo Cardoso
Publication Date: 2020
Other Authors: Araújo, Millena Mirella Silva de, Macêdo, Thuanny Silva de, Melo, Maria Cecília Freire de, Ferreira, Andressa Kelly Alves, Silva, Elizabeth Louisy Marques Soares da, Freitas, Jaciel Leandro de Melo, Caldas Jr, Arnaldo de França
Format: preprint
Language: eng
Source: SciELO Preprints
Download full: https://preprints.scielo.org/index.php/scielo/preprint/view/1126
Summary: Objective: To assess the impact and correlation of socioeconomic vulnerability on COVID-19 outcomes and social distancing in Brazil. Methods: The Gini Coefficient (GC), the Social Vulnerability Index (SVI), epidemiological data on COVID-19 epidemic in Brazil, and the Social Distancing Index (SDI) were retrieved from online databases and assessed for each Brazilian state. Data was statistically analyzed through non-parametric tests and multiple linear regressions. Results: The mean values for the GC and SVI were 0.495 and 0.261, respectively. A positive statistically significant correlation between the socioeconomic indicators and the three variables related to the COVID-19 outbreak was found. States with very low social vulnerability presented fewer deaths per 100 thousand inhabitants due to COVID-19 than states with moderate social vulnerability. SVI was a predictor of accumulated cases, confirmed deaths, and social distancing in Brazilian states during COVID-19. Conclusions: The COVID-19 outcomes and SDI in Brazilian states are correlated to the socioeconomic condition. The pandemic impacts are more severe in less favored communities.
id SCI-1_7a495f0e38ede48e8b390d30768e89ac
oai_identifier_str oai:ops.preprints.scielo.org:preprint/1126
network_acronym_str SCI-1
network_name_str SciELO Preprints
repository_id_str
spelling The impact of socioeconomic vulnerability on COVID-19 outcomes and social distancing in BrazilEl impacto de la vulnerabilidad socioeconómica en los resultados del COVID-19 y en el aislamiento social en BrasilO impacto da vulnerabilidade socioeconômica nos desfechos da COVID-19 e no distanciamento social no Brasil COVID-19Disparidades nos Níveis de SaúdeDeterminantes Sociais de SaúdePandemiaStatus SocioeconômicoCOVID-19Health Status DisparitiesSocial Determinants of HealthPandemicEconomic StatusObjective: To assess the impact and correlation of socioeconomic vulnerability on COVID-19 outcomes and social distancing in Brazil. Methods: The Gini Coefficient (GC), the Social Vulnerability Index (SVI), epidemiological data on COVID-19 epidemic in Brazil, and the Social Distancing Index (SDI) were retrieved from online databases and assessed for each Brazilian state. Data was statistically analyzed through non-parametric tests and multiple linear regressions. Results: The mean values for the GC and SVI were 0.495 and 0.261, respectively. A positive statistically significant correlation between the socioeconomic indicators and the three variables related to the COVID-19 outbreak was found. States with very low social vulnerability presented fewer deaths per 100 thousand inhabitants due to COVID-19 than states with moderate social vulnerability. SVI was a predictor of accumulated cases, confirmed deaths, and social distancing in Brazilian states during COVID-19. Conclusions: The COVID-19 outcomes and SDI in Brazilian states are correlated to the socioeconomic condition. The pandemic impacts are more severe in less favored communities.Objetivo: Avaliar o impacto e a correlação da vulnerabilidade socioeconômica nos desfechos da COVID-19 e no distanciamento social no Brasil. Materiais e Métodos: O Coeficiente de Gini (CG), o Índice de Vulnerabilidade Social (IVS), dados epidemiológicos sobre a epidemia da COVID-19 no Brasil e o Índice de Distanciamento Social (IDS) foram obtidos a partir de bases de dados online e avaliados para cada estado brasileiro. Os dados foram analisados estatisticamente através de testes não-paramétricos e de regressão logística linear. Resultados: Os valores médios para o CG e IVS foram 0.495 e 0.261, respectivamente. Uma correlação estatística positiva foi encontrada entre os indicadores socioeconômicos e as três variáveis relacionadas à epidemia de COVID-19. Os estados brasileiros com menores índices de vulnerabilidade social apresentaram uma quantidade menor de mortes pela COVID-19, para cada cem mil habitantes, quando comparados com estados com vulnerabilidade social moderada. O IVS foi um preditor para o acumulado de casos, mortes confirmadas e distanciamento social nos estados brasileiros durante a pandemia da COVID-19. Conclusão: Os desfechos da COVID-19 e o IDS nos estados brasileiros estão correlacionados com a condição socioeconômica. Os impactos da pandemia são mais severos nas localidades mais vulneráveis.SciELO PreprintsSciELO PreprintsSciELO Preprints2020-08-21info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/112610.1590/SciELOPreprints.1126enghttps://preprints.scielo.org/index.php/scielo/article/view/1126/1682Copyright (c) 2020 Paulo Cardoso Lins-Filho, Millena Mirella Silva de Araújo, Thuanny Silva de Macêdo, Maria Cecília Freire de Melo, Andressa Kelly Alves Ferreira, Elizabeth Louisy Marques Soares da Silva, Jaciel Leandro de Melo Freitas, Arnaldo de França Caldas Jrhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessLins-Filho, Paulo CardosoAraújo, Millena Mirella Silva deMacêdo, Thuanny Silva deMelo, Maria Cecília Freire deFerreira, Andressa Kelly AlvesSilva, Elizabeth Louisy Marques Soares daFreitas, Jaciel Leandro de MeloCaldas Jr, Arnaldo de Françareponame:SciELO Preprintsinstname:SciELOinstacron:SCI2020-08-20T23:59:51Zoai:ops.preprints.scielo.org:preprint/1126Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2020-08-20T23:59:51SciELO Preprints - SciELOfalse
dc.title.none.fl_str_mv The impact of socioeconomic vulnerability on COVID-19 outcomes and social distancing in Brazil
El impacto de la vulnerabilidad socioeconómica en los resultados del COVID-19 y en el aislamiento social en Brasil
O impacto da vulnerabilidade socioeconômica nos desfechos da COVID-19 e no distanciamento social no Brasil
title The impact of socioeconomic vulnerability on COVID-19 outcomes and social distancing in Brazil
spellingShingle The impact of socioeconomic vulnerability on COVID-19 outcomes and social distancing in Brazil
Lins-Filho, Paulo Cardoso
COVID-19
Disparidades nos Níveis de Saúde
Determinantes Sociais de Saúde
Pandemia
Status Socioeconômico
COVID-19
Health Status Disparities
Social Determinants of Health
Pandemic
Economic Status
title_short The impact of socioeconomic vulnerability on COVID-19 outcomes and social distancing in Brazil
title_full The impact of socioeconomic vulnerability on COVID-19 outcomes and social distancing in Brazil
title_fullStr The impact of socioeconomic vulnerability on COVID-19 outcomes and social distancing in Brazil
title_full_unstemmed The impact of socioeconomic vulnerability on COVID-19 outcomes and social distancing in Brazil
title_sort The impact of socioeconomic vulnerability on COVID-19 outcomes and social distancing in Brazil
author Lins-Filho, Paulo Cardoso
author_facet Lins-Filho, Paulo Cardoso
Araújo, Millena Mirella Silva de
Macêdo, Thuanny Silva de
Melo, Maria Cecília Freire de
Ferreira, Andressa Kelly Alves
Silva, Elizabeth Louisy Marques Soares da
Freitas, Jaciel Leandro de Melo
Caldas Jr, Arnaldo de França
author_role author
author2 Araújo, Millena Mirella Silva de
Macêdo, Thuanny Silva de
Melo, Maria Cecília Freire de
Ferreira, Andressa Kelly Alves
Silva, Elizabeth Louisy Marques Soares da
Freitas, Jaciel Leandro de Melo
Caldas Jr, Arnaldo de França
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Lins-Filho, Paulo Cardoso
Araújo, Millena Mirella Silva de
Macêdo, Thuanny Silva de
Melo, Maria Cecília Freire de
Ferreira, Andressa Kelly Alves
Silva, Elizabeth Louisy Marques Soares da
Freitas, Jaciel Leandro de Melo
Caldas Jr, Arnaldo de França
dc.subject.por.fl_str_mv COVID-19
Disparidades nos Níveis de Saúde
Determinantes Sociais de Saúde
Pandemia
Status Socioeconômico
COVID-19
Health Status Disparities
Social Determinants of Health
Pandemic
Economic Status
topic COVID-19
Disparidades nos Níveis de Saúde
Determinantes Sociais de Saúde
Pandemia
Status Socioeconômico
COVID-19
Health Status Disparities
Social Determinants of Health
Pandemic
Economic Status
description Objective: To assess the impact and correlation of socioeconomic vulnerability on COVID-19 outcomes and social distancing in Brazil. Methods: The Gini Coefficient (GC), the Social Vulnerability Index (SVI), epidemiological data on COVID-19 epidemic in Brazil, and the Social Distancing Index (SDI) were retrieved from online databases and assessed for each Brazilian state. Data was statistically analyzed through non-parametric tests and multiple linear regressions. Results: The mean values for the GC and SVI were 0.495 and 0.261, respectively. A positive statistically significant correlation between the socioeconomic indicators and the three variables related to the COVID-19 outbreak was found. States with very low social vulnerability presented fewer deaths per 100 thousand inhabitants due to COVID-19 than states with moderate social vulnerability. SVI was a predictor of accumulated cases, confirmed deaths, and social distancing in Brazilian states during COVID-19. Conclusions: The COVID-19 outcomes and SDI in Brazilian states are correlated to the socioeconomic condition. The pandemic impacts are more severe in less favored communities.
publishDate 2020
dc.date.none.fl_str_mv 2020-08-21
dc.type.driver.fl_str_mv info:eu-repo/semantics/preprint
info:eu-repo/semantics/publishedVersion
format preprint
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://preprints.scielo.org/index.php/scielo/preprint/view/1126
10.1590/SciELOPreprints.1126
url https://preprints.scielo.org/index.php/scielo/preprint/view/1126
identifier_str_mv 10.1590/SciELOPreprints.1126
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://preprints.scielo.org/index.php/scielo/article/view/1126/1682
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
dc.source.none.fl_str_mv reponame:SciELO Preprints
instname:SciELO
instacron:SCI
instname_str SciELO
instacron_str SCI
institution SCI
reponame_str SciELO Preprints
collection SciELO Preprints
repository.name.fl_str_mv SciELO Preprints - SciELO
repository.mail.fl_str_mv scielo.submission@scielo.org
_version_ 1797047819957174272