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...

Full description

Bibliographic Details
Main Authors: Vítor Hugo Campelo Pereira, Glairton Cardoso Rocha, Marco Túlio Mendonça Diniz, Marcos Antonio Cavalcante de Oliveira Júnior
Format: Article
Language:English
Published: Confins
Series:Confins
Subjects:
Online Access:https://journals.openedition.org/confins/40509
_version_ 1797223123420971008
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
collection DOAJ
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.
first_indexed 2024-03-08T01:33:02Z
format Article
id doaj.art-c916d4b2741442da8c9c921f1af51f80
institution Directory Open Access Journal
issn 1958-9212
language English
last_indexed 2024-04-24T13:32:13Z
publisher Confins
record_format Article
series Confins
spelling doaj.art-c916d4b2741442da8c9c921f1af51f802024-04-04T09:29:37ZengConfinsConfins1958-92125210.4000/confins.40509Análise de dependência espacial da taxa de mortalidade por Covid-19 nos municípios brasileirosVítor Hugo Campelo PereiraGlairton Cardoso RochaMarco Túlio Mendonça DinizMarcos Antonio Cavalcante de Oliveira JúniorThis 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.https://journals.openedition.org/confins/40509incomespatial autocorrelationMHDImortalityCOVID-19.
spellingShingle 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
Confins
income
spatial autocorrelation
MHDI
mortality
COVID-19.
title 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_short Análise de dependência espacial da taxa de mortalidade por Covid-19 nos municípios brasileiros
title_sort analise de dependencia espacial da taxa de mortalidade por covid 19 nos municipios brasileiros
topic income
spatial autocorrelation
MHDI
mortality
COVID-19.
url https://journals.openedition.org/confins/40509
work_keys_str_mv AT vitorhugocampelopereira analisededependenciaespacialdataxademortalidadeporcovid19nosmunicipiosbrasileiros
AT glairtoncardosorocha analisededependenciaespacialdataxademortalidadeporcovid19nosmunicipiosbrasileiros
AT marcotuliomendoncadiniz analisededependenciaespacialdataxademortalidadeporcovid19nosmunicipiosbrasileiros
AT marcosantoniocavalcantedeoliveirajunior analisededependenciaespacialdataxademortalidadeporcovid19nosmunicipiosbrasileiros