GEOPROCESSING APPLIED TO HEALTH GEOGRAPHY: ANALYSIS OF DEATHS BY COVID-19 IN THE URBAN AREA OF SANTA MARIA/RS, IN 2020

Detalhes bibliográficos
Autor(a) principal: Rizzatti, Maurício
Data de Publicação: 2022
Outros Autores: Batista, Natália Lampert, Spode, Pedro Leonardo Cezar, Faria, Rivaldo Mauro de
Tipo de documento: Artigo
Idioma: por
Título da fonte: Caminhos de Geografia
Texto Completo: https://seer.ufu.br/index.php/caminhosdegeografia/article/view/60418
Resumo: Cartography and Geoprocessing are fundamental for the compression of spatial data, in addition to the understanding of the distributions of phenomena that occur in space. Epidemiological and health issues, through this bias, can be studied with much property and depth from these areas of knowledge. Thus, this work has the general objective of analyzing the spatial distribution of deaths by COVID-19 in the intra-urban scale of Santa Maria, RS, in 2020, using Geoprocessing tools. It was observed that the spatial behavior of deaths by COVID-19 occurred in neighborhoods with the highest population and movement of people, in addition, from September 2020 on, there was a generalization of deaths across all regions of the city. Therefore, the methodology and discussion presented in this work allowed an understanding of the dynamics of the new Coronavirus in the urban scale of Santa Maria, RS, with information provided by the Epidemiological Surveillance of the municipality.
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spelling GEOPROCESSING APPLIED TO HEALTH GEOGRAPHY: ANALYSIS OF DEATHS BY COVID-19 IN THE URBAN AREA OF SANTA MARIA/RS, IN 2020GEOPROCESSAMENTO APLICADO À GEOGRAFIA DA SAÚDE: ANÁLISE DOS ÓBITOS POR COVID-19 NA ÁREA URBANA DE SANTA MARIA/RS, EM 2020PandemiaCartografiaVulnerabilidadeMortesMortalidadePandemicCartographyVulnerabilityDeathsMortalityCartography and Geoprocessing are fundamental for the compression of spatial data, in addition to the understanding of the distributions of phenomena that occur in space. Epidemiological and health issues, through this bias, can be studied with much property and depth from these areas of knowledge. Thus, this work has the general objective of analyzing the spatial distribution of deaths by COVID-19 in the intra-urban scale of Santa Maria, RS, in 2020, using Geoprocessing tools. It was observed that the spatial behavior of deaths by COVID-19 occurred in neighborhoods with the highest population and movement of people, in addition, from September 2020 on, there was a generalization of deaths across all regions of the city. Therefore, the methodology and discussion presented in this work allowed an understanding of the dynamics of the new Coronavirus in the urban scale of Santa Maria, RS, with information provided by the Epidemiological Surveillance of the municipality.A Cartografia e o Geoprocessamento são fundamentais para a compressão de dados espaciais, além do entendimento das distribuições de fenômenos que ocorrem no espaço. Questões epidemiológicas e de saúde, por esse viés, podem ser estudadas com muita propriedade e profundidade a partir dessas áreas do conhecimento. Dessa maneira, este trabalho tem como objetivo geral analisar a distribuição espacial dos óbitos por COVID-19, na escala intraurbana de Santa Maria, RS, no ano de 2020, por meio de ferramentas de Geoprocessamento. Observou-se que o comportamento espacial dos óbitos por COVID-19 se deu nos bairros de maior população e circulação de pessoas, além disso, a partir do mês de setembro de 2020, percebeu-se uma generalização dos óbitos por todas as regiões da cidade. Portanto, a metodologia e discussão apresentadas neste trabalho permitiram uma compreensão da dinâmica do novo Coronavírus na escala urbana de Santa Maria, RS, com informações disponibilizadas pela Vigilância Epidemiológica do município.EDUFU - Editora da Universidade Federal de Uberlândia2022-10-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado pelos paresapplication/pdfhttps://seer.ufu.br/index.php/caminhosdegeografia/article/view/6041810.14393/RCG238960418Caminhos de Geografia; Vol. 23 No. 89 (2022): Outubro; 241-259Caminhos de Geografia; Vol. 23 Núm. 89 (2022): Outubro; 241-259Caminhos de Geografia; v. 23 n. 89 (2022): Outubro; 241-2591678-6343reponame:Caminhos de Geografiainstname:Universidade Federal de Uberlândia (UFU)instacron:UFUporhttps://seer.ufu.br/index.php/caminhosdegeografia/article/view/60418/34768Copyright (c) 2022 Maurício Rizzatti, Natália Lampert Batista, Pedro Leonardo Cezar Spode, Rivaldo Mauro de Fariahttp://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessRizzatti, MaurícioBatista, Natália LampertSpode, Pedro Leonardo CezarFaria, Rivaldo Mauro de2022-10-11T13:56:10Zoai:ojs.www.seer.ufu.br:article/60418Revistahttps://seer.ufu.br/index.php/caminhosdegeografia/indexPUBhttp://www.seer.ufu.br/index.php/caminhosdegeografia/oaiflaviasantosgeo@gmail.com1678-63431678-6343opendoar:2022-10-11T13:56:10Caminhos de Geografia - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv GEOPROCESSING APPLIED TO HEALTH GEOGRAPHY: ANALYSIS OF DEATHS BY COVID-19 IN THE URBAN AREA OF SANTA MARIA/RS, IN 2020
GEOPROCESSAMENTO APLICADO À GEOGRAFIA DA SAÚDE: ANÁLISE DOS ÓBITOS POR COVID-19 NA ÁREA URBANA DE SANTA MARIA/RS, EM 2020
title GEOPROCESSING APPLIED TO HEALTH GEOGRAPHY: ANALYSIS OF DEATHS BY COVID-19 IN THE URBAN AREA OF SANTA MARIA/RS, IN 2020
spellingShingle GEOPROCESSING APPLIED TO HEALTH GEOGRAPHY: ANALYSIS OF DEATHS BY COVID-19 IN THE URBAN AREA OF SANTA MARIA/RS, IN 2020
Rizzatti, Maurício
Pandemia
Cartografia
Vulnerabilidade
Mortes
Mortalidade
Pandemic
Cartography
Vulnerability
Deaths
Mortality
title_short GEOPROCESSING APPLIED TO HEALTH GEOGRAPHY: ANALYSIS OF DEATHS BY COVID-19 IN THE URBAN AREA OF SANTA MARIA/RS, IN 2020
title_full GEOPROCESSING APPLIED TO HEALTH GEOGRAPHY: ANALYSIS OF DEATHS BY COVID-19 IN THE URBAN AREA OF SANTA MARIA/RS, IN 2020
title_fullStr GEOPROCESSING APPLIED TO HEALTH GEOGRAPHY: ANALYSIS OF DEATHS BY COVID-19 IN THE URBAN AREA OF SANTA MARIA/RS, IN 2020
title_full_unstemmed GEOPROCESSING APPLIED TO HEALTH GEOGRAPHY: ANALYSIS OF DEATHS BY COVID-19 IN THE URBAN AREA OF SANTA MARIA/RS, IN 2020
title_sort GEOPROCESSING APPLIED TO HEALTH GEOGRAPHY: ANALYSIS OF DEATHS BY COVID-19 IN THE URBAN AREA OF SANTA MARIA/RS, IN 2020
author Rizzatti, Maurício
author_facet Rizzatti, Maurício
Batista, Natália Lampert
Spode, Pedro Leonardo Cezar
Faria, Rivaldo Mauro de
author_role author
author2 Batista, Natália Lampert
Spode, Pedro Leonardo Cezar
Faria, Rivaldo Mauro de
author2_role author
author
author
dc.contributor.author.fl_str_mv Rizzatti, Maurício
Batista, Natália Lampert
Spode, Pedro Leonardo Cezar
Faria, Rivaldo Mauro de
dc.subject.por.fl_str_mv Pandemia
Cartografia
Vulnerabilidade
Mortes
Mortalidade
Pandemic
Cartography
Vulnerability
Deaths
Mortality
topic Pandemia
Cartografia
Vulnerabilidade
Mortes
Mortalidade
Pandemic
Cartography
Vulnerability
Deaths
Mortality
description Cartography and Geoprocessing are fundamental for the compression of spatial data, in addition to the understanding of the distributions of phenomena that occur in space. Epidemiological and health issues, through this bias, can be studied with much property and depth from these areas of knowledge. Thus, this work has the general objective of analyzing the spatial distribution of deaths by COVID-19 in the intra-urban scale of Santa Maria, RS, in 2020, using Geoprocessing tools. It was observed that the spatial behavior of deaths by COVID-19 occurred in neighborhoods with the highest population and movement of people, in addition, from September 2020 on, there was a generalization of deaths across all regions of the city. Therefore, the methodology and discussion presented in this work allowed an understanding of the dynamics of the new Coronavirus in the urban scale of Santa Maria, RS, with information provided by the Epidemiological Surveillance of the municipality.
publishDate 2022
dc.date.none.fl_str_mv 2022-10-10
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Avaliado pelos pares
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.ufu.br/index.php/caminhosdegeografia/article/view/60418
10.14393/RCG238960418
url https://seer.ufu.br/index.php/caminhosdegeografia/article/view/60418
identifier_str_mv 10.14393/RCG238960418
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/caminhosdegeografia/article/view/60418/34768
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv EDUFU - Editora da Universidade Federal de Uberlândia
publisher.none.fl_str_mv EDUFU - Editora da Universidade Federal de Uberlândia
dc.source.none.fl_str_mv Caminhos de Geografia; Vol. 23 No. 89 (2022): Outubro; 241-259
Caminhos de Geografia; Vol. 23 Núm. 89 (2022): Outubro; 241-259
Caminhos de Geografia; v. 23 n. 89 (2022): Outubro; 241-259
1678-6343
reponame:Caminhos de Geografia
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Caminhos de Geografia
collection Caminhos de Geografia
repository.name.fl_str_mv Caminhos de Geografia - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv flaviasantosgeo@gmail.com
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