Covid-19 healthcare facilities: accessibility contrasts in a Brazilian metropolitan city

Detalhes bibliográficos
Autor(a) principal: Marin, Luciano Heitor Gallegos
Data de Publicação: 2022
Outros Autores: Sales, Bruno da Silva, Araújo , Jorge Luiz Bezerra de, Marin, Regina Paiva Melo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/26981
Resumo: The Covid-19 outbreak changed the dynamic in cities around the world. To avoid the collapse in the healthcare system, several cities restricted or forbid people’s mobility to diminish the Covid-19 contagion. Meanwhile, a number of researchers developed online initiatives such as websites, apps and chatbots, to inform and guide people about the Covid-19 and its effects. In this paper, we combine data gathered from a dialogue chatbot that indicates healthcare facilities to individuals, with Covid-19 daily reports on new cases and mortality and demographic and socioeconomic factors to carry out analysis on geography and Covid-19 healthcare facilities in a major metropolitan city in Brazil. Results show that less wealthier areas are more populous, report high Covid-19 contagion level and request healthcare facilities locations more often. These findings shed light on Covid-19 healthcare facilities mobility patterns, which is influenced by area features and can be used to design and plan more equitable and accessible cities.
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spelling Covid-19 healthcare facilities: accessibility contrasts in a Brazilian metropolitan cityInstalaciones de salud para Covid-19: contrastes de accesibilidad en una ciudad metropolitana brasileñaUnidades de saúde para Covid-19: contrastes de acessibilidade em uma cidade metropolitana brasileiraCovid-19Unidades de saúdeDesigualdadeData science.Covid-19Establecimientos de saludDesigualdadCiencia de datos.Covid-19Healthcare facilitiesInequalityData science.The Covid-19 outbreak changed the dynamic in cities around the world. To avoid the collapse in the healthcare system, several cities restricted or forbid people’s mobility to diminish the Covid-19 contagion. Meanwhile, a number of researchers developed online initiatives such as websites, apps and chatbots, to inform and guide people about the Covid-19 and its effects. In this paper, we combine data gathered from a dialogue chatbot that indicates healthcare facilities to individuals, with Covid-19 daily reports on new cases and mortality and demographic and socioeconomic factors to carry out analysis on geography and Covid-19 healthcare facilities in a major metropolitan city in Brazil. Results show that less wealthier areas are more populous, report high Covid-19 contagion level and request healthcare facilities locations more often. These findings shed light on Covid-19 healthcare facilities mobility patterns, which is influenced by area features and can be used to design and plan more equitable and accessible cities.El brote de Covid-19 ha cambiado la dinámica en las ciudades de todo el mundo. Para evitar el colapso del sistema de salud, muchas ciudades han restringido o prohibido la movilidad de las personas para reducir el contagio de Covid-19. Mientras tanto, varios investigadores han desarrollado iniciativas en línea como sitios web, aplicaciones y chatbots para informar y educar a las personas sobre el Covid-19 y sus efectos. En este artículo, combinamos datos recopilados de un chatbot que tiene la capacidad de referir centros de atención médica a individuos, con informes diarios de Covid-19 sobre nuevos casos y mortalidad, y factores demográficos y socioeconómicos para realizar análisis geográficos y de centros de atención médica de Covid-19 en una gran metrópoli de Brasil. Los resultados muestran que las zonas menos acomodadas están más pobladas, reportan un alto nivel de contagio de Covid-19 y solicitan indicaciones más frecuentes a las unidades de salud. Estos hallazgos arrojan luz sobre los patrones de movilidad de los establecimientos de salud de Covid-19, que están influenciados por las características del área y pueden utilizarse para diseñar y planificar ciudades más equitativas y accesibles.O surto de Covid-19 mudou a dinâmica nas cidades ao redor do mundo. Para evitar o colapso do sistema de saúde, muitas cidades restringiram ou proibiram a mobilidade das pessoas para diminuir o contágio da Covid-19. Enquanto isso, vários pesquisadores desenvolveram iniciativas online, como sites, aplicativos e chatbots, para informar e orientar as pessoas sobre o Covid-19 e seus efeitos. Neste artigo, combinamos dados coletados de um chatbot que possui a capacidade de indicar unidades de atendimento de saúde para indivíduos, com relatórios diários de Covid-19 sobre novos casos e mortalidade e fatores demográficos e socioeconômicos para realizar análises geográficas e unidades de saúde de Covid-19 em uma grande metrópole do Brasil. Os resultados mostram que as áreas menos abastadas são mais populosas, relatam alto nível de contágio de Covid-19 e solicitam com mais frequência indicações de unidades de saúde. Essas descobertas lançam luz sobre os padrões de mobilidade das unidades de saúde da Covid-19, que são influenciados pelas características da área e podem ser usados para projetar e planejar cidades mais equitativas e acessíveis.Research, Society and Development2022-03-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2698110.33448/rsd-v11i4.26981Research, Society and Development; Vol. 11 No. 4; e8811426981Research, Society and Development; Vol. 11 Núm. 4; e8811426981Research, Society and Development; v. 11 n. 4; e88114269812525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIenghttps://rsdjournal.org/index.php/rsd/article/view/26981/23697Copyright (c) 2022 Luciano Heitor Gallegos Marin; Bruno da Silva Sales; Jorge Luiz Bezerra de Araújo ; Regina Paiva Melo Marinhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessMarin, Luciano Heitor Gallegos Sales, Bruno da Silva Araújo , Jorge Luiz Bezerra de Marin, Regina Paiva Melo 2022-03-27T17:17:09Zoai:ojs.pkp.sfu.ca:article/26981Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:44:51.777102Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Covid-19 healthcare facilities: accessibility contrasts in a Brazilian metropolitan city
Instalaciones de salud para Covid-19: contrastes de accesibilidad en una ciudad metropolitana brasileña
Unidades de saúde para Covid-19: contrastes de acessibilidade em uma cidade metropolitana brasileira
title Covid-19 healthcare facilities: accessibility contrasts in a Brazilian metropolitan city
spellingShingle Covid-19 healthcare facilities: accessibility contrasts in a Brazilian metropolitan city
Marin, Luciano Heitor Gallegos
Covid-19
Unidades de saúde
Desigualdade
Data science.
Covid-19
Establecimientos de salud
Desigualdad
Ciencia de datos.
Covid-19
Healthcare facilities
Inequality
Data science.
title_short Covid-19 healthcare facilities: accessibility contrasts in a Brazilian metropolitan city
title_full Covid-19 healthcare facilities: accessibility contrasts in a Brazilian metropolitan city
title_fullStr Covid-19 healthcare facilities: accessibility contrasts in a Brazilian metropolitan city
title_full_unstemmed Covid-19 healthcare facilities: accessibility contrasts in a Brazilian metropolitan city
title_sort Covid-19 healthcare facilities: accessibility contrasts in a Brazilian metropolitan city
author Marin, Luciano Heitor Gallegos
author_facet Marin, Luciano Heitor Gallegos
Sales, Bruno da Silva
Araújo , Jorge Luiz Bezerra de
Marin, Regina Paiva Melo
author_role author
author2 Sales, Bruno da Silva
Araújo , Jorge Luiz Bezerra de
Marin, Regina Paiva Melo
author2_role author
author
author
dc.contributor.author.fl_str_mv Marin, Luciano Heitor Gallegos
Sales, Bruno da Silva
Araújo , Jorge Luiz Bezerra de
Marin, Regina Paiva Melo
dc.subject.por.fl_str_mv Covid-19
Unidades de saúde
Desigualdade
Data science.
Covid-19
Establecimientos de salud
Desigualdad
Ciencia de datos.
Covid-19
Healthcare facilities
Inequality
Data science.
topic Covid-19
Unidades de saúde
Desigualdade
Data science.
Covid-19
Establecimientos de salud
Desigualdad
Ciencia de datos.
Covid-19
Healthcare facilities
Inequality
Data science.
description The Covid-19 outbreak changed the dynamic in cities around the world. To avoid the collapse in the healthcare system, several cities restricted or forbid people’s mobility to diminish the Covid-19 contagion. Meanwhile, a number of researchers developed online initiatives such as websites, apps and chatbots, to inform and guide people about the Covid-19 and its effects. In this paper, we combine data gathered from a dialogue chatbot that indicates healthcare facilities to individuals, with Covid-19 daily reports on new cases and mortality and demographic and socioeconomic factors to carry out analysis on geography and Covid-19 healthcare facilities in a major metropolitan city in Brazil. Results show that less wealthier areas are more populous, report high Covid-19 contagion level and request healthcare facilities locations more often. These findings shed light on Covid-19 healthcare facilities mobility patterns, which is influenced by area features and can be used to design and plan more equitable and accessible cities.
publishDate 2022
dc.date.none.fl_str_mv 2022-03-11
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://rsdjournal.org/index.php/rsd/article/view/26981
10.33448/rsd-v11i4.26981
url https://rsdjournal.org/index.php/rsd/article/view/26981
identifier_str_mv 10.33448/rsd-v11i4.26981
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/26981/23697
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 11 No. 4; e8811426981
Research, Society and Development; Vol. 11 Núm. 4; e8811426981
Research, Society and Development; v. 11 n. 4; e8811426981
2525-3409
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