ANALYSIS OF THE INTRA-URBAN SPATIALIZATION OF CONFIRMED CASES OF COVID-19 IN THE COMMUNITY OF TRÊS LAGOAS-MS IN 2020
Autor(a) principal: | |
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Data de Publicação: | 2024 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Hygeia (Uberlândia) |
Texto Completo: | https://seer.ufu.br/index.php/hygeia/article/view/73365 |
Resumo: | The Covid-19 pandemic quickly spread around the world. Governments adopted measures of restriction and social distancing in order to contain the spread of the virus and thus avoid overloading health systems, where such measures were not taken, or were taken partially, which resulted in greater circulation of the virus. This study aims to analyse the spatialization of confirmed COVID-19 cases in the different neighbourhoods of the city of Três Lagoas-MS according to their socio-economic characteristics. Data notified and reported by the Três Lagoas Municipal Health Department (SMS) was tabulated and organized. Data for the year 2020 (05/2020 to 01/2021) was chosen, referring to positive cases, deaths and incidence on a neighborhood scale. In order to understand and explain this spatialization, we tried to cross-reference the data provided by the Brazilian Institute of Geography and Statistics (IBGE), with regard to demographics by neighbourhood, nominal monthly income per capita and situation by color or race. By spatializing the incidence rate, it was possible to see the neighbourhoods where the incidence rates were highest. By cross-referencing the income and race data, it was possible to see that the virus first hit the neighborhoods where the higher social classes live and then spread more widely. In this way, it was possible to see that the characteristics of the territory define the spread of the virus in space and that the urban territorial organization ends up creating spatial inequalities and consequently having repercussions on the less favored social groups in the expansion of Covid-19. |
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ANALYSIS OF THE INTRA-URBAN SPATIALIZATION OF CONFIRMED CASES OF COVID-19 IN THE COMMUNITY OF TRÊS LAGOAS-MS IN 2020ANÁLISE DA ESPACIALIZAÇÃO INTRAURBANA DOS CASOS CONFIRMADOS DE COVID-19 EM TRÊS LAGOAS-MS NO ANO DE 2020PandemiaMapeamentoDesigualdades socioespaciaisPandemicMappingSocio-spatial inequalitiesThe Covid-19 pandemic quickly spread around the world. Governments adopted measures of restriction and social distancing in order to contain the spread of the virus and thus avoid overloading health systems, where such measures were not taken, or were taken partially, which resulted in greater circulation of the virus. This study aims to analyse the spatialization of confirmed COVID-19 cases in the different neighbourhoods of the city of Três Lagoas-MS according to their socio-economic characteristics. Data notified and reported by the Três Lagoas Municipal Health Department (SMS) was tabulated and organized. Data for the year 2020 (05/2020 to 01/2021) was chosen, referring to positive cases, deaths and incidence on a neighborhood scale. In order to understand and explain this spatialization, we tried to cross-reference the data provided by the Brazilian Institute of Geography and Statistics (IBGE), with regard to demographics by neighbourhood, nominal monthly income per capita and situation by color or race. By spatializing the incidence rate, it was possible to see the neighbourhoods where the incidence rates were highest. By cross-referencing the income and race data, it was possible to see that the virus first hit the neighborhoods where the higher social classes live and then spread more widely. In this way, it was possible to see that the characteristics of the territory define the spread of the virus in space and that the urban territorial organization ends up creating spatial inequalities and consequently having repercussions on the less favored social groups in the expansion of Covid-19.A pandemia de Covid-19 rapidamente se alastrou pelo mundo, Governos adotaram medidas de restrição e de distanciamento social com intuito de conter a propagação do vírus e assim evitar a sobrecarga dos sistemas de saúde, onde tais medidas não foram tomadas, ou foram tomadas de maneira parcial, o que teve como consequências uma circulação maior do vírus. O presente trabalho propõe analisar a espacialização dos casos confirmados de Covid-19 nos diferentes bairros da cidade de Três Lagoas-MS em função das características socioeconômicas de cada. Foram tabulados e organizados dados notificados e comunicados pela Secretaria Municipal de Saúde (SMS) de Três Lagoas-MS. Foram escolhidos os dados relativos ao ano 2020 (05/2020 até 01/2021), referente aos casos positivos, óbitos e incidência na escala dos bairros. Para entender e explicar tal espacialização, buscamos cruzar com os dados disponibilizados pelo Instituto Brasileiro de Geografia e Estatística (IBGE), no que se referem a demografia por bairros, rendimento nominal mensal per capita e situação por cor ou raça. Com a realização de uma espacialização da taxa de incidência foi possível visualizar os bairros onde as taxas de incidência se destacaram mais. Cruzando com os dados de renda e raça foi possível verificar que o vírus atingiu primeiro os bairros onde residem classes sociais mais altas para depois se espalhar mais amplamente. Desta forma, foi possível verificar que as características próprias ao território definem a difusão do vírus no espaço e que a organização territorial urbana acaba criar desigualdades espaciais e por consequente se repercutir nos grupos sociais menos favorecidos na expansão da Covid-19.Universidade Federal de Uberlândia2024-05-14info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/hygeia/article/view/7336510.14393/Hygeia73365Hygeia - Revista Brasileira de Geografia Médica e da Saúde; Edição Especial: XI Simpósio Nacional de Geografia da Saúde (GEOSAÚDE); e733651980-1726reponame:Hygeia (Uberlândia)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUporhttps://seer.ufu.br/index.php/hygeia/article/view/73365/38751Copyright (c) 2024 Marine Dubos-Raoul, Jhiovanna Eduarda Braghin Ferreira, Diego da Silva Borges, Mauro Henrique Soares Silva, Hermiliano Felipe Deccoinfo:eu-repo/semantics/openAccessDubos-Raoul, MarineFerreira, Jhiovanna Eduarda BraghinBorges, Diego da SilvaSilva, Mauro Henrique SoaresDecco, Hermiliano Felipe2024-05-14T20:41:30Zoai:ojs.www.seer.ufu.br:article/73365Revistahttps://seer.ufu.br/index.php/hygeiaPUBhttps://seer.ufu.br/index.php/hygeia/oaisamuel@ufu.br||flavia.santos@ufu.br1980-17261980-1726opendoar:2024-05-14T20:41:30Hygeia (Uberlândia) - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
ANALYSIS OF THE INTRA-URBAN SPATIALIZATION OF CONFIRMED CASES OF COVID-19 IN THE COMMUNITY OF TRÊS LAGOAS-MS IN 2020 ANÁLISE DA ESPACIALIZAÇÃO INTRAURBANA DOS CASOS CONFIRMADOS DE COVID-19 EM TRÊS LAGOAS-MS NO ANO DE 2020 |
title |
ANALYSIS OF THE INTRA-URBAN SPATIALIZATION OF CONFIRMED CASES OF COVID-19 IN THE COMMUNITY OF TRÊS LAGOAS-MS IN 2020 |
spellingShingle |
ANALYSIS OF THE INTRA-URBAN SPATIALIZATION OF CONFIRMED CASES OF COVID-19 IN THE COMMUNITY OF TRÊS LAGOAS-MS IN 2020 Dubos-Raoul, Marine Pandemia Mapeamento Desigualdades socioespaciais Pandemic Mapping Socio-spatial inequalities |
title_short |
ANALYSIS OF THE INTRA-URBAN SPATIALIZATION OF CONFIRMED CASES OF COVID-19 IN THE COMMUNITY OF TRÊS LAGOAS-MS IN 2020 |
title_full |
ANALYSIS OF THE INTRA-URBAN SPATIALIZATION OF CONFIRMED CASES OF COVID-19 IN THE COMMUNITY OF TRÊS LAGOAS-MS IN 2020 |
title_fullStr |
ANALYSIS OF THE INTRA-URBAN SPATIALIZATION OF CONFIRMED CASES OF COVID-19 IN THE COMMUNITY OF TRÊS LAGOAS-MS IN 2020 |
title_full_unstemmed |
ANALYSIS OF THE INTRA-URBAN SPATIALIZATION OF CONFIRMED CASES OF COVID-19 IN THE COMMUNITY OF TRÊS LAGOAS-MS IN 2020 |
title_sort |
ANALYSIS OF THE INTRA-URBAN SPATIALIZATION OF CONFIRMED CASES OF COVID-19 IN THE COMMUNITY OF TRÊS LAGOAS-MS IN 2020 |
author |
Dubos-Raoul, Marine |
author_facet |
Dubos-Raoul, Marine Ferreira, Jhiovanna Eduarda Braghin Borges, Diego da Silva Silva, Mauro Henrique Soares Decco, Hermiliano Felipe |
author_role |
author |
author2 |
Ferreira, Jhiovanna Eduarda Braghin Borges, Diego da Silva Silva, Mauro Henrique Soares Decco, Hermiliano Felipe |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Dubos-Raoul, Marine Ferreira, Jhiovanna Eduarda Braghin Borges, Diego da Silva Silva, Mauro Henrique Soares Decco, Hermiliano Felipe |
dc.subject.por.fl_str_mv |
Pandemia Mapeamento Desigualdades socioespaciais Pandemic Mapping Socio-spatial inequalities |
topic |
Pandemia Mapeamento Desigualdades socioespaciais Pandemic Mapping Socio-spatial inequalities |
description |
The Covid-19 pandemic quickly spread around the world. Governments adopted measures of restriction and social distancing in order to contain the spread of the virus and thus avoid overloading health systems, where such measures were not taken, or were taken partially, which resulted in greater circulation of the virus. This study aims to analyse the spatialization of confirmed COVID-19 cases in the different neighbourhoods of the city of Três Lagoas-MS according to their socio-economic characteristics. Data notified and reported by the Três Lagoas Municipal Health Department (SMS) was tabulated and organized. Data for the year 2020 (05/2020 to 01/2021) was chosen, referring to positive cases, deaths and incidence on a neighborhood scale. In order to understand and explain this spatialization, we tried to cross-reference the data provided by the Brazilian Institute of Geography and Statistics (IBGE), with regard to demographics by neighbourhood, nominal monthly income per capita and situation by color or race. By spatializing the incidence rate, it was possible to see the neighbourhoods where the incidence rates were highest. By cross-referencing the income and race data, it was possible to see that the virus first hit the neighborhoods where the higher social classes live and then spread more widely. In this way, it was possible to see that the characteristics of the territory define the spread of the virus in space and that the urban territorial organization ends up creating spatial inequalities and consequently having repercussions on the less favored social groups in the expansion of Covid-19. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-05-14 |
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/73365 10.14393/Hygeia73365 |
url |
https://seer.ufu.br/index.php/hygeia/article/view/73365 |
identifier_str_mv |
10.14393/Hygeia73365 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.ufu.br/index.php/hygeia/article/view/73365/38751 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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; Edição Especial: XI Simpósio Nacional de Geografia da Saúde (GEOSAÚDE); e73365 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 |
_version_ |
1799944281674219520 |