Income inequality and risk of infection and death by COVID-19 in Brazil

Detalhes bibliográficos
Autor(a) principal: Demenech, Lauro Miranda
Data de Publicação: 2020
Outros Autores: Dumith, Samuel C., Vieira, Maria Eduarda Centena Duarte, Neiva-Silva, Lucas
Tipo de documento: preprint
Idioma: por
Título da fonte: SciELO Preprints
Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/1117
Resumo: Objective: To assess, through space-time analyses, whether the economic inequality of the Federative Units (FU) in Brazil can be associated with the risk of infection and death by COVID-19. Methods: This was an ecological study, based on secondary data on incidence and mortality rates for COVID-19. Data were analyzed at the state level, having the Gini coefficient as the main independent variable. Records of twelve days were used, spaced one week each, between April 21 and June 07, 2020. The weekly rate variation was calculated through Prais-Winsten regression, aiming measuring evolution of the pandemic in each FU. Spearman correlation test was used to assess correlation between the rates and their weekly evolution and the independent variables. Lastly, a spatial dependence diagnosis was conducted, and a Spatial Regression lag model was used when applicable. Results: Incidence and mortality rates of COVID-19 increased in all Brazilian FUs, being more pronounced among those with greater economic inequality. Association between Gini coefficient and COVID-19 incidence and mortality  rates remained even when demographic and spatial aspects were taken into account. Conclusions: Economic inequality can play an important role in the impact of COVID-19 in Brazilian territory, through absolute and contextual effects. Structural policies to reduce inequality are essential to face this and future health crises in Brazil.
id SCI-1_0371cf652611c928012d24f5ae791064
oai_identifier_str oai:ops.preprints.scielo.org:preprint/1117
network_acronym_str SCI-1
network_name_str SciELO Preprints
repository_id_str
spelling Income inequality and risk of infection and death by COVID-19 in BrazilDesigualdade econômica e risco de infecção e morte por COVID-19 no BrasilCOVID-19pandemiadesigualdade em saúdedeterminantes sociais da saúdecoeficiente de GiniCOVID-19pandemichealth inequalitysocial determinants of healthGini coefficientObjective: To assess, through space-time analyses, whether the economic inequality of the Federative Units (FU) in Brazil can be associated with the risk of infection and death by COVID-19. Methods: This was an ecological study, based on secondary data on incidence and mortality rates for COVID-19. Data were analyzed at the state level, having the Gini coefficient as the main independent variable. Records of twelve days were used, spaced one week each, between April 21 and June 07, 2020. The weekly rate variation was calculated through Prais-Winsten regression, aiming measuring evolution of the pandemic in each FU. Spearman correlation test was used to assess correlation between the rates and their weekly evolution and the independent variables. Lastly, a spatial dependence diagnosis was conducted, and a Spatial Regression lag model was used when applicable. Results: Incidence and mortality rates of COVID-19 increased in all Brazilian FUs, being more pronounced among those with greater economic inequality. Association between Gini coefficient and COVID-19 incidence and mortality  rates remained even when demographic and spatial aspects were taken into account. Conclusions: Economic inequality can play an important role in the impact of COVID-19 in Brazilian territory, through absolute and contextual effects. Structural policies to reduce inequality are essential to face this and future health crises in Brazil.Objetivo: Avaliar, por meio de análise espaço-temporal, se a desigualdade econômica das Unidades Federativas (UF) do Brasil pode estar associada com o risco de infecção e morte por COVID-19. Métodos: Trata-se de um estudo ecológico, a partir de dados secundários das taxas de incidência e mortalidade para COVID-19. Os dados foram analisados em nível estadual, tendo como principal variável independente o coeficiente de Gini. Foram utilizados os registros de doze dias, espaçados em uma semana cada, entre 21 de abril e 07 de julho de 2020. A variação semanal das taxas foi calculada através de regressão de Prais-Winsten, com o objetivo de medir a evolução da pandemia em cada UF. O teste de correlação de Spearman foi utilizado para avaliar a correlação entre as taxas e suas evoluções semanais e as variáveis independentes. Por fim, foi realizado diagnóstico de dependência espacial dos dados, e utilizado modelo de defasagem da Regressão Espacial quando aplicável. Resultados: As taxas de incidência e mortalidade por COVID-19 foram crescentes em todas UFs brasileiras, tendo sido mais acentuada entre aquelas com maior desigualdade econômica. A associação entre coeficiente de Gini e incidência e mortalidade por COVID-19 se manteve mesmo quando levados em consideração aspectos demográficos e espaciais. Conclusões: A desigualdade econômica pode exercer papel importante no impacto da COVID-19 em território brasileiro, através de efeitos absolutos e contextuais. Políticas estruturais para a redução da desigualdade são fundamentais para o enfrentamento desta e de futuras crises sanitárias no Brasil.SciELO PreprintsSciELO PreprintsSciELO Preprints2020-08-19info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/111710.1590/1980-549720200095porhttps://preprints.scielo.org/index.php/scielo/article/view/1117/1666Copyright (c) 2020 Lauro Miranda Demenech, Samuel C. Dumith, Maria Eduarda Centena Duarte Vieira, Lucas Neiva-Silvahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessDemenech, Lauro Miranda Dumith, Samuel C. Vieira, Maria Eduarda Centena Duarte Neiva-Silva, Lucas reponame:SciELO Preprintsinstname:SciELOinstacron:SCI2020-08-19T19:00:19Zoai:ops.preprints.scielo.org:preprint/1117Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2020-08-19T19:00:19SciELO Preprints - SciELOfalse
dc.title.none.fl_str_mv Income inequality and risk of infection and death by COVID-19 in Brazil
Desigualdade econômica e risco de infecção e morte por COVID-19 no Brasil
title Income inequality and risk of infection and death by COVID-19 in Brazil
spellingShingle Income inequality and risk of infection and death by COVID-19 in Brazil
Demenech, Lauro Miranda
COVID-19
pandemia
desigualdade em saúde
determinantes sociais da saúde
coeficiente de Gini
COVID-19
pandemic
health inequality
social determinants of health
Gini coefficient
title_short Income inequality and risk of infection and death by COVID-19 in Brazil
title_full Income inequality and risk of infection and death by COVID-19 in Brazil
title_fullStr Income inequality and risk of infection and death by COVID-19 in Brazil
title_full_unstemmed Income inequality and risk of infection and death by COVID-19 in Brazil
title_sort Income inequality and risk of infection and death by COVID-19 in Brazil
author Demenech, Lauro Miranda
author_facet Demenech, Lauro Miranda
Dumith, Samuel C.
Vieira, Maria Eduarda Centena Duarte
Neiva-Silva, Lucas
author_role author
author2 Dumith, Samuel C.
Vieira, Maria Eduarda Centena Duarte
Neiva-Silva, Lucas
author2_role author
author
author
dc.contributor.author.fl_str_mv Demenech, Lauro Miranda
Dumith, Samuel C.
Vieira, Maria Eduarda Centena Duarte
Neiva-Silva, Lucas
dc.subject.por.fl_str_mv COVID-19
pandemia
desigualdade em saúde
determinantes sociais da saúde
coeficiente de Gini
COVID-19
pandemic
health inequality
social determinants of health
Gini coefficient
topic COVID-19
pandemia
desigualdade em saúde
determinantes sociais da saúde
coeficiente de Gini
COVID-19
pandemic
health inequality
social determinants of health
Gini coefficient
description Objective: To assess, through space-time analyses, whether the economic inequality of the Federative Units (FU) in Brazil can be associated with the risk of infection and death by COVID-19. Methods: This was an ecological study, based on secondary data on incidence and mortality rates for COVID-19. Data were analyzed at the state level, having the Gini coefficient as the main independent variable. Records of twelve days were used, spaced one week each, between April 21 and June 07, 2020. The weekly rate variation was calculated through Prais-Winsten regression, aiming measuring evolution of the pandemic in each FU. Spearman correlation test was used to assess correlation between the rates and their weekly evolution and the independent variables. Lastly, a spatial dependence diagnosis was conducted, and a Spatial Regression lag model was used when applicable. Results: Incidence and mortality rates of COVID-19 increased in all Brazilian FUs, being more pronounced among those with greater economic inequality. Association between Gini coefficient and COVID-19 incidence and mortality  rates remained even when demographic and spatial aspects were taken into account. Conclusions: Economic inequality can play an important role in the impact of COVID-19 in Brazilian territory, through absolute and contextual effects. Structural policies to reduce inequality are essential to face this and future health crises in Brazil.
publishDate 2020
dc.date.none.fl_str_mv 2020-08-19
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/1117
10.1590/1980-549720200095
url https://preprints.scielo.org/index.php/scielo/preprint/view/1117
identifier_str_mv 10.1590/1980-549720200095
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://preprints.scielo.org/index.php/scielo/article/view/1117/1666
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_ 1797047819942494208