Análise de dependência espacial da taxa de mortalidade por Covid-19 nos municípios brasileiros

This article aims to analyze the distribution of deaths by COVID-19 in Brazilian municipalities and its relationship with socioeconomic aspects (income) until the data of July 14, 2020. A methodology was based on the selection of spatial autocorrelation based on the Global Index Moran and the Local...

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Autores principales:	Vítor Hugo Campelo Pereira, Glairton Cardoso Rocha, Marco Túlio Mendonça Diniz, Marcos Antonio Cavalcante de Oliveira Júnior
Formato:	article
Lenguaje:	EN FR PT
Publicado:	Confins 2021
Materias:	spatial autocorrelation MHDI income mortality COVID-19. Geography. Anthropology. Recreation G
Acceso en línea:	https://doaj.org/article/477c7c0dc98f40f891b66b84e5d3186e
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spelling	oai:doaj.org-article:477c7c0dc98f40f891b66b84e5d3186e2021-12-02T10:58:45ZAnálise de dependência espacial da taxa de mortalidade por Covid-19 nos municípios brasileiros1958-921210.4000/confins.40509https://doaj.org/article/477c7c0dc98f40f891b66b84e5d3186e2021-11-01T00:00:00Zhttp://journals.openedition.org/confins/40509https://doaj.org/toc/1958-9212This article aims to analyze the distribution of deaths by COVID-19 in Brazilian municipalities and its relationship with socioeconomic aspects (income) until the data of July 14, 2020. A methodology was based on the selection of spatial autocorrelation based on the Global Index Moran and the Local Moran Index (LISA) in its univariate and bivariate forms. A univariate form was used to investigate the distribution of the Mortality Rate by COVID-19 (CMD), while the bivariate form was used to verify spatial autocorrelation between the variables TMC (dependent variable) and MHDI Income (independent variable) in Brazilian municipalities until the data of July 14, 2020. The results show the presence of clusters formed from groups of municipalities with high CMD values, mainly in the North and Northeast regions of Brazil. In addition, a negative autocorrelation was found between the variables TMC and MHDI Income, with emphasis on large territorial portions of the North and Northeast regions. The number of cases of COVID-19 in a geographical area and the income of its population are essential factors for understanding the distribution of habits related to this disease.Vítor Hugo Campelo PereiraGlairton Cardoso RochaMarco Túlio Mendonça DinizMarcos Antonio Cavalcante de Oliveira JúniorConfinsarticlespatial autocorrelationMHDIincomemortalityCOVID-19.Geography. Anthropology. RecreationGENFRPTConfins, Vol 52 (2021)
institution	DOAJ
collection	DOAJ
language	EN FR PT
topic	spatial autocorrelation MHDI income mortality COVID-19. Geography. Anthropology. Recreation G
spellingShingle	spatial autocorrelation MHDI income mortality COVID-19. Geography. Anthropology. Recreation G Vítor Hugo Campelo Pereira Glairton Cardoso Rocha Marco Túlio Mendonça Diniz Marcos Antonio Cavalcante de Oliveira Júnior Análise de dependência espacial da taxa de mortalidade por Covid-19 nos municípios brasileiros
description	This article aims to analyze the distribution of deaths by COVID-19 in Brazilian municipalities and its relationship with socioeconomic aspects (income) until the data of July 14, 2020. A methodology was based on the selection of spatial autocorrelation based on the Global Index Moran and the Local Moran Index (LISA) in its univariate and bivariate forms. A univariate form was used to investigate the distribution of the Mortality Rate by COVID-19 (CMD), while the bivariate form was used to verify spatial autocorrelation between the variables TMC (dependent variable) and MHDI Income (independent variable) in Brazilian municipalities until the data of July 14, 2020. The results show the presence of clusters formed from groups of municipalities with high CMD values, mainly in the North and Northeast regions of Brazil. In addition, a negative autocorrelation was found between the variables TMC and MHDI Income, with emphasis on large territorial portions of the North and Northeast regions. The number of cases of COVID-19 in a geographical area and the income of its population are essential factors for understanding the distribution of habits related to this disease.
format	article
author	Vítor Hugo Campelo Pereira Glairton Cardoso Rocha Marco Túlio Mendonça Diniz Marcos Antonio Cavalcante de Oliveira Júnior
author_facet	Vítor Hugo Campelo Pereira Glairton Cardoso Rocha Marco Túlio Mendonça Diniz Marcos Antonio Cavalcante de Oliveira Júnior
author_sort	Vítor Hugo Campelo Pereira
title	Análise de dependência espacial da taxa de mortalidade por Covid-19 nos municípios brasileiros
title_short	Análise de dependência espacial da taxa de mortalidade por Covid-19 nos municípios brasileiros
title_full	Análise de dependência espacial da taxa de mortalidade por Covid-19 nos municípios brasileiros
title_fullStr	Análise de dependência espacial da taxa de mortalidade por Covid-19 nos municípios brasileiros
title_full_unstemmed	Análise de dependência espacial da taxa de mortalidade por Covid-19 nos municípios brasileiros
title_sort	análise de dependência espacial da taxa de mortalidade por covid-19 nos municípios brasileiros
publisher	Confins
publishDate	2021
url	https://doaj.org/article/477c7c0dc98f40f891b66b84e5d3186e
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Análise de dependência espacial da taxa de mortalidade por Covid-19 nos municípios brasileiros

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