Through the COVID-19 magnifying glass: an examination of disparities in the Brazilian capitals
Autor(a) principal: | |
---|---|
Data de Publicação: | 2020 |
Outros Autores: | , , , , , |
Tipo de documento: | preprint |
Idioma: | por |
Título da fonte: | SciELO Preprints |
Texto Completo: | https://preprints.scielo.org/index.php/scielo/preprint/view/1411 |
Resumo: | Introduction: To identify the correlation socioeconomic and health indicators with the progress of the COVID-19 epidemic in Brazilian capitals. Methods: Ecological study with cases data confirmed by COVID-19 registered from March to June/2020, Municipal Human Development Index, Gross Domestic Product per capita, percentage of households in subnormal agglomerates and Infant Mortality Rate. The advance of the epidemic was characterized by the growth of cases, and their correlation by Pearson's correlation matrix. Results: Was observed the growing increase trend of COVID-19 in all Brazil’s capitals. The incidence in March was higher in the capitals of the Southeast and in the other months in the North. The mortality rate was higher in Southeast’s capitals in the first three months and, in June, the rate of North’s capital is equals to the Southeast. Greater growth in COVID-19 cases was observed in the capitals of the North and Northeast in all the periods evaluated. This growth showed a positive correlation with the Infant Mortality Rate (r=0,609; p<0,001) and negative correlation with Municipal Human Development Index (r=-0,511; p=0,007). Conclusions: These findings signal regional differentials that act as a condition for the dynamics of COVID-19. The epidemic has been a magnifying glass for inequalities in the country, exposing historical inequities in the health of the brazilian population. The recognition of this scenario of inequalities in the dynamics of transmission COVID-19 offers a targeting for proposing measures that impact the social determinants and the urban environment. |
id |
SCI-1_8d86412fcc5a6e687e534b0b3fe33dfa |
---|---|
oai_identifier_str |
oai:ops.preprints.scielo.org:preprint/1411 |
network_acronym_str |
SCI-1 |
network_name_str |
SciELO Preprints |
repository_id_str |
|
spelling |
Through the COVID-19 magnifying glass: an examination of disparities in the Brazilian capitals Observando a través de la lupa del COVID-19: un examen de las disparidades en las capitales brasileñasObservando por meio da lupa da COVID-19: um exame das disparidades nas capitais brasileirasCOVID-19epidemiafatores socioeconomicosiniquidade em saúdeCOVID-19epidemicssocioeconomic factorsHealth Status DisparitiesCOVID-19epidemiaFactores SocioeconómicosInequidad en SaludIntroduction: To identify the correlation socioeconomic and health indicators with the progress of the COVID-19 epidemic in Brazilian capitals. Methods: Ecological study with cases data confirmed by COVID-19 registered from March to June/2020, Municipal Human Development Index, Gross Domestic Product per capita, percentage of households in subnormal agglomerates and Infant Mortality Rate. The advance of the epidemic was characterized by the growth of cases, and their correlation by Pearson's correlation matrix. Results: Was observed the growing increase trend of COVID-19 in all Brazil’s capitals. The incidence in March was higher in the capitals of the Southeast and in the other months in the North. The mortality rate was higher in Southeast’s capitals in the first three months and, in June, the rate of North’s capital is equals to the Southeast. Greater growth in COVID-19 cases was observed in the capitals of the North and Northeast in all the periods evaluated. This growth showed a positive correlation with the Infant Mortality Rate (r=0,609; p<0,001) and negative correlation with Municipal Human Development Index (r=-0,511; p=0,007). Conclusions: These findings signal regional differentials that act as a condition for the dynamics of COVID-19. The epidemic has been a magnifying glass for inequalities in the country, exposing historical inequities in the health of the brazilian population. The recognition of this scenario of inequalities in the dynamics of transmission COVID-19 offers a targeting for proposing measures that impact the social determinants and the urban environment.Introducción: Identificar la correlación entre indicadores socioeconómicos y de salud con el avance de la epidemia de COVID en las capitales brasileñas. Métodos: Estudio ecológico con datos de casos confirmados, de marzo a junio, Índice de Desarrollo Humano Municipal (IDHM), Producto Interno Bruto per cápita, porcentaje de hogares subnormales y Tasa de Mortalidad Infantil (TMI). El avance de la epidemia se caracterizó por el crecimiento de casos en el período y su correlación con variables socioeconómicas y de salud, mediante la matriz de correlación de Pearson. Resultados: Hubo una tendencia creciente al aumento de casos en todas las capitales. La incidencia en marzo fue mayor en las capitales del Sureste y, en otros meses, en el Norte. La tasa de mortalidad hasta mayo fue mayor en las capitales del sureste, y en junio similar en el norte y sureste. En cada período analizado se observó un mayor crecimiento de casos en las capitales del Norte y Nordeste. El crecimiento se correlacionó positivamente con IMT (r = 0,609; p <0,001) y negativo con MHDI (r = -0,511; p = 0,007). Discusión: La epidemia ha sido una lupa para las desigualdades en el país, exponiendo las inequidades en salud. El reconocimiento de los diferenciales regionales como condicionantes de la dinámica de COVID ofrece orientación para las medidas que se centran en sus determinantes sociales.Introdução: Identificar correlação entre indicadores socioeconômicos e de saúde com o avanço da epidemia de COVID nas capitais brasileiras. Métodos: Estudo ecológico com dados de casos confirmados, de março a junho, Índice de Desenvolvimento Humano Municipal (IDHM), Produto Interno Bruto per capita, percentual de domicílios subnormais e Taxa de Mortalidade Infantil (TMI). Caracterizou-se o avanço da epidemia pelo crescimento de casos no período, e, sua correlação com variáveis socioeconômicas e de saúde, pela matriz de correlação de Pearson. Resultados:Ocorrência crescente do aumento de casos em todas as capitais. O aumento em março foi maior nas capitais do Sudeste e, nos outros meses nas do Norte. A taxa de mortalidade até maio era maior em capitais do Sudeste, e em junho semelhante no Norte e Sudeste. Verificou-se, para cada período analisado, maior crescimento de casos nas capitais do Norte e Nordeste. O crescimento teve correlação positiva com a TMI (r = 0,609; p <0,001) e negativa com IDHM (r = -0,511; p = 0,007). Discussão: A epidemia tem sido uma lupa para as desigualdades no país, desnudando as iniquidades na saúde. O reconhecimento dos diferenciais regionais como condicionantes da dinâmica da COVID oferece direcionamento para medidas com foco em seus determinantes sociais.SciELO PreprintsSciELO PreprintsSciELO Preprints2020-11-04info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/141110.1590/SciELOPreprints.1411porhttps://preprints.scielo.org/index.php/scielo/article/view/1411/2219Copyright (c) 2020 Aline Dayrell, Amanda Cristina de Souza Andrade , Elaine Leandro Machado , Adriana Lúcia Meireles , Amanda Silva Magalhães , Eduarda do Prado Ribeiro , Waleska Teixeira Caiaffa https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessDayrell, AlineCristina de Souza Andrade , Amanda Leandro Machado , Elaine Lúcia Meireles , Adriana Silva Magalhães , Amanda do Prado Ribeiro , EduardaTeixeira Caiaffa , Waleskareponame:SciELO Preprintsinstname:SciELOinstacron:SCI2020-10-29T16:11:58Zoai:ops.preprints.scielo.org:preprint/1411Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2020-10-29T16:11:58SciELO Preprints - SciELOfalse |
dc.title.none.fl_str_mv |
Through the COVID-19 magnifying glass: an examination of disparities in the Brazilian capitals Observando a través de la lupa del COVID-19: un examen de las disparidades en las capitales brasileñas Observando por meio da lupa da COVID-19: um exame das disparidades nas capitais brasileiras |
title |
Through the COVID-19 magnifying glass: an examination of disparities in the Brazilian capitals |
spellingShingle |
Through the COVID-19 magnifying glass: an examination of disparities in the Brazilian capitals Dayrell, Aline COVID-19 epidemia fatores socioeconomicos iniquidade em saúde COVID-19 epidemics socioeconomic factors Health Status Disparities COVID-19 epidemia Factores Socioeconómicos Inequidad en Salud |
title_short |
Through the COVID-19 magnifying glass: an examination of disparities in the Brazilian capitals |
title_full |
Through the COVID-19 magnifying glass: an examination of disparities in the Brazilian capitals |
title_fullStr |
Through the COVID-19 magnifying glass: an examination of disparities in the Brazilian capitals |
title_full_unstemmed |
Through the COVID-19 magnifying glass: an examination of disparities in the Brazilian capitals |
title_sort |
Through the COVID-19 magnifying glass: an examination of disparities in the Brazilian capitals |
author |
Dayrell, Aline |
author_facet |
Dayrell, Aline Cristina de Souza Andrade , Amanda Leandro Machado , Elaine Lúcia Meireles , Adriana Silva Magalhães , Amanda do Prado Ribeiro , Eduarda Teixeira Caiaffa , Waleska |
author_role |
author |
author2 |
Cristina de Souza Andrade , Amanda Leandro Machado , Elaine Lúcia Meireles , Adriana Silva Magalhães , Amanda do Prado Ribeiro , Eduarda Teixeira Caiaffa , Waleska |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Dayrell, Aline Cristina de Souza Andrade , Amanda Leandro Machado , Elaine Lúcia Meireles , Adriana Silva Magalhães , Amanda do Prado Ribeiro , Eduarda Teixeira Caiaffa , Waleska |
dc.subject.por.fl_str_mv |
COVID-19 epidemia fatores socioeconomicos iniquidade em saúde COVID-19 epidemics socioeconomic factors Health Status Disparities COVID-19 epidemia Factores Socioeconómicos Inequidad en Salud |
topic |
COVID-19 epidemia fatores socioeconomicos iniquidade em saúde COVID-19 epidemics socioeconomic factors Health Status Disparities COVID-19 epidemia Factores Socioeconómicos Inequidad en Salud |
description |
Introduction: To identify the correlation socioeconomic and health indicators with the progress of the COVID-19 epidemic in Brazilian capitals. Methods: Ecological study with cases data confirmed by COVID-19 registered from March to June/2020, Municipal Human Development Index, Gross Domestic Product per capita, percentage of households in subnormal agglomerates and Infant Mortality Rate. The advance of the epidemic was characterized by the growth of cases, and their correlation by Pearson's correlation matrix. Results: Was observed the growing increase trend of COVID-19 in all Brazil’s capitals. The incidence in March was higher in the capitals of the Southeast and in the other months in the North. The mortality rate was higher in Southeast’s capitals in the first three months and, in June, the rate of North’s capital is equals to the Southeast. Greater growth in COVID-19 cases was observed in the capitals of the North and Northeast in all the periods evaluated. This growth showed a positive correlation with the Infant Mortality Rate (r=0,609; p<0,001) and negative correlation with Municipal Human Development Index (r=-0,511; p=0,007). Conclusions: These findings signal regional differentials that act as a condition for the dynamics of COVID-19. The epidemic has been a magnifying glass for inequalities in the country, exposing historical inequities in the health of the brazilian population. The recognition of this scenario of inequalities in the dynamics of transmission COVID-19 offers a targeting for proposing measures that impact the social determinants and the urban environment. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-11-04 |
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/1411 10.1590/SciELOPreprints.1411 |
url |
https://preprints.scielo.org/index.php/scielo/preprint/view/1411 |
identifier_str_mv |
10.1590/SciELOPreprints.1411 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/article/view/1411/2219 |
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_ |
1797047820693274624 |