Initial analysis of the spatial correlation between the incidence of COVID-19 and human development in the municipalities of the state of Ceará, in Brazil

Detalhes bibliográficos
Autor(a) principal: Maciel, Jacques Antonio Cavalcante
Data de Publicação: 2020
Outros Autores: Castro-Silva, Igor Iuco, Farias, Mariana Ramalho de
Tipo de documento: preprint
Idioma: por
Título da fonte: SciELO Preprints
Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/584
Resumo: Objective: To analyze the spatial distribution of the incidence of COVID-19 and its correlation with the municipal human development index (MHDI) of the municipalities of Ceará. Methods: This is an ecological study with data recovered from the 15th to the 19th epidemiological week of the year 2020 using the MHDI and the COVID-19 incidence coefficient for each municipality as variables. The univariate and the bivariate spatial correlation were analyzed using the TerraView and GeoDa software. Results: The incidence of COVID-19 has spatial dependence with moderate positive correlation and the formation of high-high clusters located in the metropolitan region of Fortaleza and municipalities in the North region. The lowest incidence was a low-low cluster in the South and West regions. There was a positive bivariate correlation between MHDI and the incidence of COVID-19 with the formation of a cluster in the metropolitan region of Fortaleza. Conclusion: The uneven mapping of COVID-19 and its relationship with MHDI in Ceará can contribute with actions for the regional fight against the pandemic. 
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spelling Initial analysis of the spatial correlation between the incidence of COVID-19 and human development in the municipalities of the state of Ceará, in Brazil Análise inicial da correlação espacial entre a incidência de COVID-19 e o desenvolvimento humano nos municípios do estado do Ceará no BrasilCoronavírusVírus da SARSIndicadores de desenvolvimentoMapeamento geográficoCoronavirusSARS virusDevelopment indicatorsGeographic mappingObjective: To analyze the spatial distribution of the incidence of COVID-19 and its correlation with the municipal human development index (MHDI) of the municipalities of Ceará. Methods: This is an ecological study with data recovered from the 15th to the 19th epidemiological week of the year 2020 using the MHDI and the COVID-19 incidence coefficient for each municipality as variables. The univariate and the bivariate spatial correlation were analyzed using the TerraView and GeoDa software. Results: The incidence of COVID-19 has spatial dependence with moderate positive correlation and the formation of high-high clusters located in the metropolitan region of Fortaleza and municipalities in the North region. The lowest incidence was a low-low cluster in the South and West regions. There was a positive bivariate correlation between MHDI and the incidence of COVID-19 with the formation of a cluster in the metropolitan region of Fortaleza. Conclusion: The uneven mapping of COVID-19 and its relationship with MHDI in Ceará can contribute with actions for the regional fight against the pandemic. Objetivo: Analisar a distribuição espacial da incidência de Covid-19 e sua correlação com o índice de desenvolvimento humano municipal (IDHM) dos municípios do Ceará. Métodos: Trata-se de um estudo ecológico com dados recuperados da 15ª e da 19ª semana epidemiológica do ano de 2020 utilizando como variáveis o IDHM e o coeficiente de incidência de Covid-19 para cada município. Foi analisada a correlação espacial uni e bivariada por meio dos softwares TerraView e GeoDa. Resultados: A incidência da Covid-19 possui dependência espacial com correlação positiva moderada e formação de clusters do tipo alto-alto localizados na região metropolitana de Fortaleza e municípios da região norte. As menores incidências foram cluster tipo baixo-baixo na região sul e na região oeste. Houve correlação bivariada positiva entre IDHM e incidência de Covid-19 com formação de cluster na região metropolitana de Fortaleza. Conclusão: O mapeamento desigual de Covid-19 e sua relação com IDHM no Ceará podem contribuir com ações de enfrentamento regional à pandemia. SciELO PreprintsSciELO PreprintsSciELO Preprints2020-05-27info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/58410.1590/1980-549720200057porhttps://preprints.scielo.org/index.php/scielo/article/view/584/755Copyright (c) 2020 Jacques Antonio Cavalcante Maciel, Castro-Silva Castro-Silva, Mariana Ramalho de Fariashttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessMaciel, Jacques Antonio CavalcanteCastro-Silva, Igor Iuco Farias, Mariana Ramalho de reponame:SciELO Preprintsinstname:SciELOinstacron:SCI2020-05-26T19:35:45Zoai:ops.preprints.scielo.org:preprint/584Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2020-05-26T19:35:45SciELO Preprints - SciELOfalse
dc.title.none.fl_str_mv Initial analysis of the spatial correlation between the incidence of COVID-19 and human development in the municipalities of the state of Ceará, in Brazil
Análise inicial da correlação espacial entre a incidência de COVID-19 e o desenvolvimento humano nos municípios do estado do Ceará no Brasil
title Initial analysis of the spatial correlation between the incidence of COVID-19 and human development in the municipalities of the state of Ceará, in Brazil
spellingShingle Initial analysis of the spatial correlation between the incidence of COVID-19 and human development in the municipalities of the state of Ceará, in Brazil
Maciel, Jacques Antonio Cavalcante
Coronavírus
Vírus da SARS
Indicadores de desenvolvimento
Mapeamento geográfico
Coronavirus
SARS virus
Development indicators
Geographic mapping
title_short Initial analysis of the spatial correlation between the incidence of COVID-19 and human development in the municipalities of the state of Ceará, in Brazil
title_full Initial analysis of the spatial correlation between the incidence of COVID-19 and human development in the municipalities of the state of Ceará, in Brazil
title_fullStr Initial analysis of the spatial correlation between the incidence of COVID-19 and human development in the municipalities of the state of Ceará, in Brazil
title_full_unstemmed Initial analysis of the spatial correlation between the incidence of COVID-19 and human development in the municipalities of the state of Ceará, in Brazil
title_sort Initial analysis of the spatial correlation between the incidence of COVID-19 and human development in the municipalities of the state of Ceará, in Brazil
author Maciel, Jacques Antonio Cavalcante
author_facet Maciel, Jacques Antonio Cavalcante
Castro-Silva, Igor Iuco
Farias, Mariana Ramalho de
author_role author
author2 Castro-Silva, Igor Iuco
Farias, Mariana Ramalho de
author2_role author
author
dc.contributor.author.fl_str_mv Maciel, Jacques Antonio Cavalcante
Castro-Silva, Igor Iuco
Farias, Mariana Ramalho de
dc.subject.por.fl_str_mv Coronavírus
Vírus da SARS
Indicadores de desenvolvimento
Mapeamento geográfico
Coronavirus
SARS virus
Development indicators
Geographic mapping
topic Coronavírus
Vírus da SARS
Indicadores de desenvolvimento
Mapeamento geográfico
Coronavirus
SARS virus
Development indicators
Geographic mapping
description Objective: To analyze the spatial distribution of the incidence of COVID-19 and its correlation with the municipal human development index (MHDI) of the municipalities of Ceará. Methods: This is an ecological study with data recovered from the 15th to the 19th epidemiological week of the year 2020 using the MHDI and the COVID-19 incidence coefficient for each municipality as variables. The univariate and the bivariate spatial correlation were analyzed using the TerraView and GeoDa software. Results: The incidence of COVID-19 has spatial dependence with moderate positive correlation and the formation of high-high clusters located in the metropolitan region of Fortaleza and municipalities in the North region. The lowest incidence was a low-low cluster in the South and West regions. There was a positive bivariate correlation between MHDI and the incidence of COVID-19 with the formation of a cluster in the metropolitan region of Fortaleza. Conclusion: The uneven mapping of COVID-19 and its relationship with MHDI in Ceará can contribute with actions for the regional fight against the pandemic. 
publishDate 2020
dc.date.none.fl_str_mv 2020-05-27
dc.type.driver.fl_str_mv info:eu-repo/semantics/preprint
info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://preprints.scielo.org/index.php/scielo/preprint/view/584
10.1590/1980-549720200057
url https://preprints.scielo.org/index.php/scielo/preprint/view/584
identifier_str_mv 10.1590/1980-549720200057
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://preprints.scielo.org/index.php/scielo/article/view/584/755
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
dc.source.none.fl_str_mv reponame:SciELO Preprints
instname:SciELO
instacron:SCI
instname_str SciELO
instacron_str SCI
institution SCI
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repository.name.fl_str_mv SciELO Preprints - SciELO
repository.mail.fl_str_mv scielo.submission@scielo.org
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