Covid-19 healthcare facilities: accessibility contrasts in a Brazilian metropolitan city
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
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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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 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
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Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
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Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
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rsd.articles@gmail.com |
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