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

OBJECTIVE: to analyze the influence of socioeconomic inequality on COVID-19 distribution in larger Brazilian municipalities, controlling for effect of hospital infrastructure, comorbidities and other variables. METHODS: this was an ecological study of COVID-19 hospitalizations and deaths in 2020; ou...

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Autores principales: da Silva, Gabriela Drummond Marques, de Souza, Anelise Andrade, de Castro, Mônica Silva Monteiro, de Miranda, Wanessa Debôrtoli, Jardim, Leticia Lemos, de Sousa, Rômulo Paes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Secretaria de Vigilância em Saúde - Ministério da Saúde do Brasil 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9926519/
https://www.ncbi.nlm.nih.gov/pubmed/36790266
http://dx.doi.org/10.1590/S2237-96222023000100021
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author da Silva, Gabriela Drummond Marques
de Souza, Anelise Andrade
de Castro, Mônica Silva Monteiro
de Miranda, Wanessa Debôrtoli
Jardim, Leticia Lemos
de Sousa, Rômulo Paes
author_facet da Silva, Gabriela Drummond Marques
de Souza, Anelise Andrade
de Castro, Mônica Silva Monteiro
de Miranda, Wanessa Debôrtoli
Jardim, Leticia Lemos
de Sousa, Rômulo Paes
author_sort da Silva, Gabriela Drummond Marques
collection PubMed
description OBJECTIVE: to analyze the influence of socioeconomic inequality on COVID-19 distribution in larger Brazilian municipalities, controlling for effect of hospital infrastructure, comorbidities and other variables. METHODS: this was an ecological study of COVID-19 hospitalizations and deaths in 2020; outcome data were obtained from the Ministry of Health; incidence ratios were estimated using a generalized linear model. RESULTS: we identified 291,073 hospitalizations and 139,953 deaths; we found higher mortality rates in municipalities with a higher proportion of non-White people (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 sewerage systems was protective for both outcomes (hospitalizations: 95%CI 0.87;0.99 – deaths: 95%CI 0.90;0.99), while a higher proportion of the population in subnormal housing clusters 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 receiving Emergency Aid (hospitalizations: 95%CI 0.88;1.00 – deaths: 95%CI 0.89;0.98). CONCLUSION: socioeconomic conditions affected illness and death due to COVID-19 in Brazil.
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spelling pubmed-99265192023-02-15 Influence of socioeconomic inequality on the distribution of COVID-19 hospitalizations and deaths in Brazilian municipalities, 2020: an ecological study da Silva, Gabriela Drummond Marques de Souza, Anelise Andrade de Castro, Mônica Silva Monteiro de Miranda, Wanessa Debôrtoli Jardim, Leticia Lemos de Sousa, Rômulo Paes Epidemiol Serv Saude Original Article OBJECTIVE: to analyze the influence of socioeconomic inequality on COVID-19 distribution in larger Brazilian municipalities, controlling for effect of hospital infrastructure, comorbidities and other variables. METHODS: this was an ecological study of COVID-19 hospitalizations and deaths in 2020; outcome data were obtained from the Ministry of Health; incidence ratios were estimated using a generalized linear model. RESULTS: we identified 291,073 hospitalizations and 139,953 deaths; we found higher mortality rates in municipalities with a higher proportion of non-White people (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 sewerage systems was protective for both outcomes (hospitalizations: 95%CI 0.87;0.99 – deaths: 95%CI 0.90;0.99), while a higher proportion of the population in subnormal housing clusters 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 receiving Emergency Aid (hospitalizations: 95%CI 0.88;1.00 – deaths: 95%CI 0.89;0.98). CONCLUSION: socioeconomic conditions affected illness and death due to COVID-19 in Brazil. Secretaria de Vigilância em Saúde - Ministério da Saúde do Brasil 2023-02-10 /pmc/articles/PMC9926519/ /pubmed/36790266 http://dx.doi.org/10.1590/S2237-96222023000100021 Text en https://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
da Silva, Gabriela Drummond Marques
de Souza, Anelise Andrade
de Castro, Mônica Silva Monteiro
de Miranda, Wanessa Debôrtoli
Jardim, Leticia Lemos
de Sousa, Rômulo Paes
Influence of socioeconomic inequality on the distribution of COVID-19 hospitalizations and deaths in Brazilian municipalities, 2020: an ecological study
title Influence of socioeconomic inequality on the distribution of COVID-19 hospitalizations and deaths in Brazilian municipalities, 2020: an ecological study
title_full Influence of socioeconomic inequality on the distribution of COVID-19 hospitalizations and deaths in Brazilian municipalities, 2020: an ecological study
title_fullStr Influence of socioeconomic inequality on the distribution of COVID-19 hospitalizations and deaths in Brazilian municipalities, 2020: an ecological study
title_full_unstemmed Influence of socioeconomic inequality on the distribution of COVID-19 hospitalizations and deaths in Brazilian municipalities, 2020: an ecological study
title_short Influence of socioeconomic inequality on the distribution of COVID-19 hospitalizations and deaths in Brazilian municipalities, 2020: an ecological study
title_sort influence of socioeconomic inequality on the distribution of covid-19 hospitalizations and deaths in brazilian municipalities, 2020: an ecological study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9926519/
https://www.ncbi.nlm.nih.gov/pubmed/36790266
http://dx.doi.org/10.1590/S2237-96222023000100021
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