ANALYSIS OF THE INTRA-URBAN SPATIALIZATION OF CONFIRMED CASES OF COVID-19 IN THE COMMUNITY OF TRÊS LAGOAS-MS IN 2020

Detalhes bibliográficos
Autor(a) principal: Dubos-Raoul, Marine
Data de Publicação: 2024
Outros Autores: Ferreira, Jhiovanna Eduarda Braghin, Borges, Diego da Silva, Silva, Mauro Henrique Soares, Decco, Hermiliano Felipe
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.
id UFU-7_3bdeb5127cd78a0f79a904d436eb8ace
oai_identifier_str oai:ojs.www.seer.ufu.br:article/73365
network_acronym_str UFU-7
network_name_str Hygeia (Uberlândia)
repository_id_str
spelling 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