Influence of socioeconomic inequality on the distribution of hospitalizations and deaths from COVID-19 in Brazilian municipalities, 2020: an ecological study

Detalhes bibliográficos
Autor(a) principal: Silva, Gabriela Drummond Marques da
Data de Publicação: 2023
Outros Autores: Souza, Anelise Andrade de, Castro, Mônica Silva Monteiro de, Miranda, Wanessa Debôrtoli de, Jardim, Leticia Lemos, Sousa, Rômulo Paes de
Tipo de documento: preprint
Idioma: por
Título da fonte: SciELO Preprints
Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/5533
Resumo: Objective: to analyze the influence of socioeconomic inequality on COVID-19 distribution in Brazilian municipalities, controlling for effect of hospital infrastructure, comorbidities, and other variables. Methods: ecological study on hospitalizations and deaths from Covid-19 in 2020; outcome data obtained from Ministry of Health. Incidence ratio estimated via a generalized linear model with negative binomial distribution. Results: 291,073 hospitalizations and 139,953 deaths were identified; higher mortality rate in municipalities with highest proportion of non-white population (95%CI 1.01;1.16) and with more households with more than two people per room (95%CI 1.01;1.13); presence of sanitary sewage was protective (hospitalizations: 95%CI 0.87;0.99 – deaths: 95%CI 0.90;0.99) and higher proportion of population in subnormal agglomerations was a risk factor (hospitalizations: 95%CI 1.01;1.16 – deaths: 95%CI 1.09;1.21), with this variable interacting with the proportion of people with emergency assistance (hospitalizations: 95%CI 0.88;1.00 – deaths: 95%CI 0.89;0.98). Conclusion: Socioeconomic conditions affected illness and death from COVID-19 in Brazil
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spelling Influence of socioeconomic inequality on the distribution of hospitalizations and deaths from COVID-19 in Brazilian municipalities, 2020: an ecological studyInfluencia de la desigualdad socioeconómica en la distribución de hospitalizaciones y muertes por COVID-19 en municipios brasileños, 2020: un estudio ecológicoInfluência da desigualdade socioeconômica na distribuição das internações e dos óbitos por covid-19 em municípios brasileiros, 2020: um estudo ecológicoCoronavírusInternação HospitalarMortalidadeFatores SocioeconômicosEstudo EcológicoCoronavirusHospitalizationMortalitySocioeconomic FactorsEcological StudyCoronavirusHospitalizaciónMortalidadFactores SocioeconómicosEstudio EcológicoObjective: to analyze the influence of socioeconomic inequality on COVID-19 distribution in Brazilian municipalities, controlling for effect of hospital infrastructure, comorbidities, and other variables. Methods: ecological study on hospitalizations and deaths from Covid-19 in 2020; outcome data obtained from Ministry of Health. Incidence ratio estimated via a generalized linear model with negative binomial distribution. Results: 291,073 hospitalizations and 139,953 deaths were identified; higher mortality rate in municipalities with highest proportion of non-white population (95%CI 1.01;1.16) and with more households with more than two people per room (95%CI 1.01;1.13); presence of sanitary sewage was protective (hospitalizations: 95%CI 0.87;0.99 – deaths: 95%CI 0.90;0.99) and higher proportion of population in subnormal agglomerations was a risk factor (hospitalizations: 95%CI 1.01;1.16 – deaths: 95%CI 1.09;1.21), with this variable interacting with the proportion of people with emergency assistance (hospitalizations: 95%CI 0.88;1.00 – deaths: 95%CI 0.89;0.98). Conclusion: Socioeconomic conditions affected illness and death from COVID-19 in BrazilObjetivo: analizar influencia de desigualdad socioeconómica en distribución de COVID-19 en municipios brasileños, controlando por infraestructura hospitalaria, comorbilidades y otras variables. Métodos: estudio ecológico sobre hospitalizaciones y muertes por COVID-19 en 2020; datos de resultado del Ministerio de Salud; razón de incidencia estimada a través de modelo lineal generalizado con distribución binomial negativa. Resultados: 291.073 hospitalizaciones y 139.953 defunciones; mayor tasa de mortalidad en municipios con mayor proporción de población no blanca (IC95% 1,01;1,16) y con más hogares con más de dos personas por habitación (IC95% 1,01;1,13); alcantarillado sanitario resultó protector (hospitalizaciones: IC95% 0,87;0,99 – muertes: IC95% 0,90;0,99) y mayor proporción de población en aglomeraciones subnormales fue factor de riesgo (hospitalizaciones: IC95% 1,01;1,16 – muertes: IC95% 1,09;1,21), interactuando con proporción de personas con asistencia de emergencia (hospitalizaciones IC95% 0,88;1,00, defunciones IC95% 0,89;0,98). Conclusión: Condiciones socioeconómicas afectaron enfermedad y muerte por COVID-19.Objetivo: analisar a influência da desigualdade socioeconômica na distribuição da covid-19 nos maiores municípios brasileiros (> 100 mil habitantes), controlando, pelo efeito da infraestrutura hospitalar, comorbidades e outras variáveis. Métodos: estudo ecológico sobre internações e óbitos por covid-19 em 2020; dados de desfecho obtidos do Ministério da Saúde; a razão de incidência foi estimada via modelo linear generalizado. Resultados: identificados 291.073 internações e 139.953 óbitos; encontrou-se maior taxa de mortalidade nos municípios com maior população não branca (IC95% 1,01;1,16) e nos domicílios com mais de duas pessoas por cômodo (IC95% 1,01;1,13); para ambos desfechos, esgotamento sanitário foi protetivo(internações: IC95% 0,87;0,99 – óbitos: IC95% 0,90;0,99), e população em aglomerados subnormais revelou-se fator de risco (internações: IC95% 1,01;1,16 – óbitos: IC95% 1,09;1,21) com interação, com a proporção de pessoas a receber auxílio emergencial (internações: IC95%0,88;1,00 – óbitos: IC95% 0,89;0,98). Conclusão: condições socioeconômicas afetaram o adoecimento e morte por covid-19 no Brasil.SciELO PreprintsSciELO PreprintsSciELO Preprints2023-02-06info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/553310.1590/s2237-96222023000100021porhttps://preprints.scielo.org/index.php/scielo/article/view/5533/10678Copyright (c) 2023 Gabriela Drummond Marques da Silva, Anelise Andrade de Souza, Mônica Silva Monteiro de Castro, Wanessa Debôrtoli de Miranda, Leticia Lemos Jardim, Rômulo Paes de Sousahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSilva, Gabriela Drummond Marques daSouza, Anelise Andrade deCastro, Mônica Silva Monteiro deMiranda, Wanessa Debôrtoli deJardim, Leticia LemosSousa, Rômulo Paes dereponame:SciELO Preprintsinstname:Scientific Electronic Library Online (SCIELO)instacron:SCI2023-02-06T13:01:54Zoai:ops.preprints.scielo.org:preprint/5533Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2023-02-06T13:01:54SciELO Preprints - Scientific Electronic Library Online (SCIELO)false
dc.title.none.fl_str_mv Influence of socioeconomic inequality on the distribution of hospitalizations and deaths from COVID-19 in Brazilian municipalities, 2020: an ecological study
Influencia de la desigualdad socioeconómica en la distribución de hospitalizaciones y muertes por COVID-19 en municipios brasileños, 2020: un estudio ecológico
Influência da desigualdade socioeconômica na distribuição das internações e dos óbitos por covid-19 em municípios brasileiros, 2020: um estudo ecológico
title Influence of socioeconomic inequality on the distribution of hospitalizations and deaths from COVID-19 in Brazilian municipalities, 2020: an ecological study
spellingShingle Influence of socioeconomic inequality on the distribution of hospitalizations and deaths from COVID-19 in Brazilian municipalities, 2020: an ecological study
Silva, Gabriela Drummond Marques da
Coronavírus
Internação Hospitalar
Mortalidade
Fatores Socioeconômicos
Estudo Ecológico
Coronavirus
Hospitalization
Mortality
Socioeconomic Factors
Ecological Study
Coronavirus
Hospitalización
Mortalidad
Factores Socioeconómicos
Estudio Ecológico
title_short Influence of socioeconomic inequality on the distribution of hospitalizations and deaths from COVID-19 in Brazilian municipalities, 2020: an ecological study
title_full Influence of socioeconomic inequality on the distribution of hospitalizations and deaths from COVID-19 in Brazilian municipalities, 2020: an ecological study
title_fullStr Influence of socioeconomic inequality on the distribution of hospitalizations and deaths from COVID-19 in Brazilian municipalities, 2020: an ecological study
title_full_unstemmed Influence of socioeconomic inequality on the distribution of hospitalizations and deaths from COVID-19 in Brazilian municipalities, 2020: an ecological study
title_sort Influence of socioeconomic inequality on the distribution of hospitalizations and deaths from COVID-19 in Brazilian municipalities, 2020: an ecological study
author Silva, Gabriela Drummond Marques da
author_facet Silva, Gabriela Drummond Marques da
Souza, Anelise Andrade de
Castro, Mônica Silva Monteiro de
Miranda, Wanessa Debôrtoli de
Jardim, Leticia Lemos
Sousa, Rômulo Paes de
author_role author
author2 Souza, Anelise Andrade de
Castro, Mônica Silva Monteiro de
Miranda, Wanessa Debôrtoli de
Jardim, Leticia Lemos
Sousa, Rômulo Paes de
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Silva, Gabriela Drummond Marques da
Souza, Anelise Andrade de
Castro, Mônica Silva Monteiro de
Miranda, Wanessa Debôrtoli de
Jardim, Leticia Lemos
Sousa, Rômulo Paes de
dc.subject.por.fl_str_mv Coronavírus
Internação Hospitalar
Mortalidade
Fatores Socioeconômicos
Estudo Ecológico
Coronavirus
Hospitalization
Mortality
Socioeconomic Factors
Ecological Study
Coronavirus
Hospitalización
Mortalidad
Factores Socioeconómicos
Estudio Ecológico
topic Coronavírus
Internação Hospitalar
Mortalidade
Fatores Socioeconômicos
Estudo Ecológico
Coronavirus
Hospitalization
Mortality
Socioeconomic Factors
Ecological Study
Coronavirus
Hospitalización
Mortalidad
Factores Socioeconómicos
Estudio Ecológico
description Objective: to analyze the influence of socioeconomic inequality on COVID-19 distribution in Brazilian municipalities, controlling for effect of hospital infrastructure, comorbidities, and other variables. Methods: ecological study on hospitalizations and deaths from Covid-19 in 2020; outcome data obtained from Ministry of Health. Incidence ratio estimated via a generalized linear model with negative binomial distribution. Results: 291,073 hospitalizations and 139,953 deaths were identified; higher mortality rate in municipalities with highest proportion of non-white population (95%CI 1.01;1.16) and with more households with more than two people per room (95%CI 1.01;1.13); presence of sanitary sewage was protective (hospitalizations: 95%CI 0.87;0.99 – deaths: 95%CI 0.90;0.99) and higher proportion of population in subnormal agglomerations was a risk factor (hospitalizations: 95%CI 1.01;1.16 – deaths: 95%CI 1.09;1.21), with this variable interacting with the proportion of people with emergency assistance (hospitalizations: 95%CI 0.88;1.00 – deaths: 95%CI 0.89;0.98). Conclusion: Socioeconomic conditions affected illness and death from COVID-19 in Brazil
publishDate 2023
dc.date.none.fl_str_mv 2023-02-06
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10.1590/s2237-96222023000100021
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SciELO Preprints
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