Cargando…

Human development, social vulnerability and COVID-19 in Brazil: a study of the social determinants of health

BACKGROUND: Coronavirus disease 2019 (COVID-19) was confirmed in Brazil in February 2020. Since then, the disease has spread throughout the country, reaching the poorest areas. This study analyzes the relationship between COVID-19 and the population’s living conditions. We aimed to identify social d...

Descripción completa

Detalles Bibliográficos
Autores principales: de Souza, Carlos Dornels Freire, Machado, Michael Ferreira, do Carmo, Rodrigo Feliciano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7456757/
https://www.ncbi.nlm.nih.gov/pubmed/32867851
http://dx.doi.org/10.1186/s40249-020-00743-x
_version_ 1783575857872240640
author de Souza, Carlos Dornels Freire
Machado, Michael Ferreira
do Carmo, Rodrigo Feliciano
author_facet de Souza, Carlos Dornels Freire
Machado, Michael Ferreira
do Carmo, Rodrigo Feliciano
author_sort de Souza, Carlos Dornels Freire
collection PubMed
description BACKGROUND: Coronavirus disease 2019 (COVID-19) was confirmed in Brazil in February 2020. Since then, the disease has spread throughout the country, reaching the poorest areas. This study analyzes the relationship between COVID-19 and the population’s living conditions. We aimed to identify social determinants related to the incidence, mortality, and case fatality rate of COVID-19 in Brazil, in 2020. METHODS: This is an ecological study evaluating the relationship between COVID-19 incidence, mortality, and case fatality rates and 49 social indicators of human development and social vulnerability. For the analysis, bivariate spatial correlation and multivariate and spatial regression models (spatial lag model and spatial error models) were used, considering a 95% confidence interval and a significance level of 5%. RESULTS: A total of 44.8% of municipalities registered confirmed cases of COVID-19 and 14.7% had deaths. We observed that 56.2% of municipalities with confirmed cases had very low human development (COVID-19 incidence rate: 59.00/100 000; mortality rate: 36.75/1 000 000), and 52.8% had very high vulnerability (COVID-19 incidence rate: 41.68/100 000; mortality rate: 27.46/1 000 000). The regression model showed 17 indicators associated with transmission of COVID-19 in Brazil. CONCLUSIONS: Although COVID-19 first arrived in the most developed and least vulnerable municipalities in Brazil, it has already reached locations that are farther from large urban centers, whose populations are exposed to a context of intense social vulnerability. Based on these findings, it is necessary to adopt measures that take local social aspects into account in order to contain the pandemic.
format Online
Article
Text
id pubmed-7456757
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-74567572020-08-31 Human development, social vulnerability and COVID-19 in Brazil: a study of the social determinants of health de Souza, Carlos Dornels Freire Machado, Michael Ferreira do Carmo, Rodrigo Feliciano Infect Dis Poverty Research Article BACKGROUND: Coronavirus disease 2019 (COVID-19) was confirmed in Brazil in February 2020. Since then, the disease has spread throughout the country, reaching the poorest areas. This study analyzes the relationship between COVID-19 and the population’s living conditions. We aimed to identify social determinants related to the incidence, mortality, and case fatality rate of COVID-19 in Brazil, in 2020. METHODS: This is an ecological study evaluating the relationship between COVID-19 incidence, mortality, and case fatality rates and 49 social indicators of human development and social vulnerability. For the analysis, bivariate spatial correlation and multivariate and spatial regression models (spatial lag model and spatial error models) were used, considering a 95% confidence interval and a significance level of 5%. RESULTS: A total of 44.8% of municipalities registered confirmed cases of COVID-19 and 14.7% had deaths. We observed that 56.2% of municipalities with confirmed cases had very low human development (COVID-19 incidence rate: 59.00/100 000; mortality rate: 36.75/1 000 000), and 52.8% had very high vulnerability (COVID-19 incidence rate: 41.68/100 000; mortality rate: 27.46/1 000 000). The regression model showed 17 indicators associated with transmission of COVID-19 in Brazil. CONCLUSIONS: Although COVID-19 first arrived in the most developed and least vulnerable municipalities in Brazil, it has already reached locations that are farther from large urban centers, whose populations are exposed to a context of intense social vulnerability. Based on these findings, it is necessary to adopt measures that take local social aspects into account in order to contain the pandemic. BioMed Central 2020-08-31 /pmc/articles/PMC7456757/ /pubmed/32867851 http://dx.doi.org/10.1186/s40249-020-00743-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
de Souza, Carlos Dornels Freire
Machado, Michael Ferreira
do Carmo, Rodrigo Feliciano
Human development, social vulnerability and COVID-19 in Brazil: a study of the social determinants of health
title Human development, social vulnerability and COVID-19 in Brazil: a study of the social determinants of health
title_full Human development, social vulnerability and COVID-19 in Brazil: a study of the social determinants of health
title_fullStr Human development, social vulnerability and COVID-19 in Brazil: a study of the social determinants of health
title_full_unstemmed Human development, social vulnerability and COVID-19 in Brazil: a study of the social determinants of health
title_short Human development, social vulnerability and COVID-19 in Brazil: a study of the social determinants of health
title_sort human development, social vulnerability and covid-19 in brazil: a study of the social determinants of health
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7456757/
https://www.ncbi.nlm.nih.gov/pubmed/32867851
http://dx.doi.org/10.1186/s40249-020-00743-x
work_keys_str_mv AT desouzacarlosdornelsfreire humandevelopmentsocialvulnerabilityandcovid19inbrazilastudyofthesocialdeterminantsofhealth
AT machadomichaelferreira humandevelopmentsocialvulnerabilityandcovid19inbrazilastudyofthesocialdeterminantsofhealth
AT docarmorodrigofeliciano humandevelopmentsocialvulnerabilityandcovid19inbrazilastudyofthesocialdeterminantsofhealth