Influence of socioeconomic inequality on the distribution of hospitalizations and deaths from COVID-19 in Brazilian municipalities, 2020: an ecological study
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , |
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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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 |
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/5533 10.1590/s2237-96222023000100021 |
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https://preprints.scielo.org/index.php/scielo/preprint/view/5533 |
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10.1590/s2237-96222023000100021 |
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https://preprints.scielo.org/index.php/scielo/article/view/5533/10678 |
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https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
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https://creativecommons.org/licenses/by/4.0 |
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openAccess |
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SciELO Preprints SciELO Preprints SciELO Preprints |
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SciELO Preprints SciELO Preprints SciELO Preprints |
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SciELO Preprints |
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SciELO Preprints - Scientific Electronic Library Online (SCIELO) |
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