GEOPROCESSING APPLIED TO HEALTH GEOGRAPHY: ANALYSIS OF DEATHS BY COVID-19 IN THE URBAN AREA OF SANTA MARIA/RS, IN 2020
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
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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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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1797067018824843264 |