INFLUENCES OF SOCIODEMOGRAPHIC, SOCIOECONOMIC AND URBANISTIC CONDITIONINGS ON THE IMPACTS OF COVID-19 IN MATO GROSSO, BRAZIL

Detalhes bibliográficos
Autor(a) principal: Aguilar, Ramon Lucato de
Data de Publicação: 2023
Tipo de documento: Artigo
Idioma: por
Título da fonte: Hygeia (Uberlândia)
Texto Completo: https://seer.ufu.br/index.php/hygeia/article/view/65686
Resumo: In view of the discordant approaches on the relationship between COVID-19 pandemic and physical, social and economic attributes of urban areas, the proposed research contributes to the advance in the clarification of an issue that proves to be cardinal for the planning of human settlements in the future, as it was investigated the relationship between transmission, hospitalization and deaths indicators with sociodemographic, socioeconomic and urban indicators in all municipalities in the state of Mato Grosso (Brazil), from the moment the first case was confirmed in the state – 16 March 2020 – until 31 December 2021. To this aim, regression analyses were performed and local spatial patterns were examined, before which the Principal Component Analysis (PCA) technique was used in order to identify the most significant explanatory variables. Significant positive correlations were found between variables associated with Diffusion and variables associated with socioeconomic factors, as well as between Diffusion and Importance of the municipality and indicators related to Morbidity (Mortality and Lethality). These, on the other hand, were negatively correlated with socioeconomic and density variables (with regard to intra-domiciliary agglomeration).
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spelling INFLUENCES OF SOCIODEMOGRAPHIC, SOCIOECONOMIC AND URBANISTIC CONDITIONINGS ON THE IMPACTS OF COVID-19 IN MATO GROSSO, BRAZILINFLUÊNCIAS DE CONDICIONANTES SOCIODEMOGRÁFICOS, SOCIOECONÔMICOS E URBANÍSTICOS SOBRE OS IMPACTOS DA COVID-19 EM MATO GROSSO, BRASILGeografia da SaúdeAnálise EspacialEpidemiologiaCOVID-19Mato GrossoHealth GeographySpatial AnalysisEpidemiologyCOVID-19Mato GrossoIn view of the discordant approaches on the relationship between COVID-19 pandemic and physical, social and economic attributes of urban areas, the proposed research contributes to the advance in the clarification of an issue that proves to be cardinal for the planning of human settlements in the future, as it was investigated the relationship between transmission, hospitalization and deaths indicators with sociodemographic, socioeconomic and urban indicators in all municipalities in the state of Mato Grosso (Brazil), from the moment the first case was confirmed in the state – 16 March 2020 – until 31 December 2021. To this aim, regression analyses were performed and local spatial patterns were examined, before which the Principal Component Analysis (PCA) technique was used in order to identify the most significant explanatory variables. Significant positive correlations were found between variables associated with Diffusion and variables associated with socioeconomic factors, as well as between Diffusion and Importance of the municipality and indicators related to Morbidity (Mortality and Lethality). These, on the other hand, were negatively correlated with socioeconomic and density variables (with regard to intra-domiciliary agglomeration).Em vista das abordagens discordantes sobre as relações entre a pandemia de COVID-19 e características físicas, sociais e econômicas de áreas urbanas, a pesquisa proposta contribui para o avanço no esclarecimento de uma questão que se mostra cardeal para o planejamento de assentamentos humanos no futuro, ao investigar as relações entre indicadores sobre transmissão, hospitalização e óbitos associados à doença com indicadores sociodemográficos, socioeconômicos e urbanísticos em todos os municípios do estado de Mato Grosso (Brasil), desde o momento em que se confirmou o primeiro caso da afecção no estado – 16 de março de 2020 – até 31 de dezembro de 2021. Para tanto, foram efetuadas análises de regressão e examinados padrões espaciais locais, antes dos quais foi empregada técnica de Análise de Componentes Principais (ACP) a fim de se identificarem as variáveis explanatórias mais significativas. Encontraram-se correlações positivas significativas entre variáveis associadas à Difusão e variáveis associadas a fatores socioeconômicos, assim como entre Difusão e Importância do município e indicadores relativos à Morbidade (Mortalidade e Letalidade). Estes, por outro lado, foram negativamente correlacionados às variáveis socioeconômicas e de densidade (no que se refere à aglomeração intradomiciliar).Universidade Federal de Uberlândia2023-05-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/hygeia/article/view/6568610.14393/Hygeia1965686Hygeia - Revista Brasileira de Geografia Médica e da Saúde; v. 19 (2023); e19131980-1726reponame:Hygeia (Uberlândia)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUporhttps://seer.ufu.br/index.php/hygeia/article/view/65686/36064Copyright (c) 2023 Ramon Lucato de Aguilarinfo:eu-repo/semantics/openAccessAguilar, Ramon Lucato de2023-05-09T20:02:50Zoai:ojs.www.seer.ufu.br:article/65686Revistahttps://seer.ufu.br/index.php/hygeiaPUBhttps://seer.ufu.br/index.php/hygeia/oaisamuel@ufu.br||flavia.santos@ufu.br1980-17261980-1726opendoar:2023-05-09T20:02:50Hygeia (Uberlândia) - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv INFLUENCES OF SOCIODEMOGRAPHIC, SOCIOECONOMIC AND URBANISTIC CONDITIONINGS ON THE IMPACTS OF COVID-19 IN MATO GROSSO, BRAZIL
INFLUÊNCIAS DE CONDICIONANTES SOCIODEMOGRÁFICOS, SOCIOECONÔMICOS E URBANÍSTICOS SOBRE OS IMPACTOS DA COVID-19 EM MATO GROSSO, BRASIL
title INFLUENCES OF SOCIODEMOGRAPHIC, SOCIOECONOMIC AND URBANISTIC CONDITIONINGS ON THE IMPACTS OF COVID-19 IN MATO GROSSO, BRAZIL
spellingShingle INFLUENCES OF SOCIODEMOGRAPHIC, SOCIOECONOMIC AND URBANISTIC CONDITIONINGS ON THE IMPACTS OF COVID-19 IN MATO GROSSO, BRAZIL
Aguilar, Ramon Lucato de
Geografia da Saúde
Análise Espacial
Epidemiologia
COVID-19
Mato Grosso
Health Geography
Spatial Analysis
Epidemiology
COVID-19
Mato Grosso
title_short INFLUENCES OF SOCIODEMOGRAPHIC, SOCIOECONOMIC AND URBANISTIC CONDITIONINGS ON THE IMPACTS OF COVID-19 IN MATO GROSSO, BRAZIL
title_full INFLUENCES OF SOCIODEMOGRAPHIC, SOCIOECONOMIC AND URBANISTIC CONDITIONINGS ON THE IMPACTS OF COVID-19 IN MATO GROSSO, BRAZIL
title_fullStr INFLUENCES OF SOCIODEMOGRAPHIC, SOCIOECONOMIC AND URBANISTIC CONDITIONINGS ON THE IMPACTS OF COVID-19 IN MATO GROSSO, BRAZIL
title_full_unstemmed INFLUENCES OF SOCIODEMOGRAPHIC, SOCIOECONOMIC AND URBANISTIC CONDITIONINGS ON THE IMPACTS OF COVID-19 IN MATO GROSSO, BRAZIL
title_sort INFLUENCES OF SOCIODEMOGRAPHIC, SOCIOECONOMIC AND URBANISTIC CONDITIONINGS ON THE IMPACTS OF COVID-19 IN MATO GROSSO, BRAZIL
author Aguilar, Ramon Lucato de
author_facet Aguilar, Ramon Lucato de
author_role author
dc.contributor.author.fl_str_mv Aguilar, Ramon Lucato de
dc.subject.por.fl_str_mv Geografia da Saúde
Análise Espacial
Epidemiologia
COVID-19
Mato Grosso
Health Geography
Spatial Analysis
Epidemiology
COVID-19
Mato Grosso
topic Geografia da Saúde
Análise Espacial
Epidemiologia
COVID-19
Mato Grosso
Health Geography
Spatial Analysis
Epidemiology
COVID-19
Mato Grosso
description In view of the discordant approaches on the relationship between COVID-19 pandemic and physical, social and economic attributes of urban areas, the proposed research contributes to the advance in the clarification of an issue that proves to be cardinal for the planning of human settlements in the future, as it was investigated the relationship between transmission, hospitalization and deaths indicators with sociodemographic, socioeconomic and urban indicators in all municipalities in the state of Mato Grosso (Brazil), from the moment the first case was confirmed in the state – 16 March 2020 – until 31 December 2021. To this aim, regression analyses were performed and local spatial patterns were examined, before which the Principal Component Analysis (PCA) technique was used in order to identify the most significant explanatory variables. Significant positive correlations were found between variables associated with Diffusion and variables associated with socioeconomic factors, as well as between Diffusion and Importance of the municipality and indicators related to Morbidity (Mortality and Lethality). These, on the other hand, were negatively correlated with socioeconomic and density variables (with regard to intra-domiciliary agglomeration).
publishDate 2023
dc.date.none.fl_str_mv 2023-05-09
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.ufu.br/index.php/hygeia/article/view/65686
10.14393/Hygeia1965686
url https://seer.ufu.br/index.php/hygeia/article/view/65686
identifier_str_mv 10.14393/Hygeia1965686
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/hygeia/article/view/65686/36064
dc.rights.driver.fl_str_mv Copyright (c) 2023 Ramon Lucato de Aguilar
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 Ramon Lucato de Aguilar
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Uberlândia
publisher.none.fl_str_mv Universidade Federal de Uberlândia
dc.source.none.fl_str_mv Hygeia - Revista Brasileira de Geografia Médica e da Saúde; v. 19 (2023); e1913
1980-1726
reponame:Hygeia (Uberlândia)
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Hygeia (Uberlândia)
collection Hygeia (Uberlândia)
repository.name.fl_str_mv Hygeia (Uberlândia) - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv samuel@ufu.br||flavia.santos@ufu.br
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