Spatial analysis of the origin-destination flow of admissions for severe acute respiratory syndrome by COVID-19 in the Metropolitan Region of Rio de Janeiro

Detalhes bibliográficos
Autor(a) principal: Cavalcante, João Roberto
Data de Publicação: 2021
Outros Autores: Xavier, Diego Ricardo, Santos, Cleber Vinicius Brito dos, Pungartnik, Paula Cristina, Guimarães, Raphael Mendonça
Tipo de documento: preprint
Idioma: por
Título da fonte: SciELO Preprints
Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/2891
Resumo: This study analyzed the intercity flow of SRAG admissions by COVID-19 in the metropolitan region of Rio de Janeiro. We identified 12,676 inter-municipal hospitalizations for COVID-19 involving the municipality of Rio de Janeiro. Among these admissions, 11,288 (89.0%) were residents of the RM, 87% were residents of other cities in the RM and hospitalized in the MRJ and 13% residents of the MRJ and hospitalized in other municipalities in the RM. There is a negative correlation between the distance between cities and the origin-destination flow (r=0.62, p<0.001). MRJ imports more SRAG admissions by COVID-19 than it exports. This study highlights the importance of care networks for more severe cases that mainly require specialized care.
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spelling Spatial analysis of the origin-destination flow of admissions for severe acute respiratory syndrome by COVID-19 in the Metropolitan Region of Rio de JaneiroAnálise espacial do fluxo origem-destino das internações de Síndrome Respiratória Aguda Grave por COVID-19 na Região Metropolitana do Rio de JaneiroCovid-19análise espacialgestão em saúdeinfecções por coronavírusCovid-19spatial analysishealth managementcoronavirus infectionsThis study analyzed the intercity flow of SRAG admissions by COVID-19 in the metropolitan region of Rio de Janeiro. We identified 12,676 inter-municipal hospitalizations for COVID-19 involving the municipality of Rio de Janeiro. Among these admissions, 11,288 (89.0%) were residents of the RM, 87% were residents of other cities in the RM and hospitalized in the MRJ and 13% residents of the MRJ and hospitalized in other municipalities in the RM. There is a negative correlation between the distance between cities and the origin-destination flow (r=0.62, p<0.001). MRJ imports more SRAG admissions by COVID-19 than it exports. This study highlights the importance of care networks for more severe cases that mainly require specialized care.Este estudo analisou o fluxo intermunicipal das internações de SRAG por COVID-19 na região metropolitana do Rio de Janeiro. Foram identificadas 12.676 internações intermunicipais por COVID-19 envolvendo o município do Rio de Janeiro. Dentre estas internações, 11.288 (89,0%) eram residentes da RM, 87% residentes de outros municípios da RM e internados no MRJ e 13% residentes do MRJ e internados em outros municípios da RM. Há correlação negativa entre a distância entre os municípios e o fluxo origem-destino (r=0,62, p<0,001). O MRJ importa mais internações de SRAG por COVID-19 do que exporta. Este estudo evidencia a importância das redes de atendimento para casos mais graves que necessitem, principalmente, de atenção especializada.SciELO PreprintsSciELO PreprintsSciELO Preprints2021-09-02info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/289110.1590/1980-549720210054porhttps://preprints.scielo.org/index.php/scielo/article/view/2891/5108Copyright (c) 2021 João Roberto Cavalcante, Diego Ricardo Xavier, Cleber Vinicius Brito dos Santos, Paula Cristina Pungartnik, Raphael Mendonça Guimarãeshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCavalcante, João RobertoXavier, Diego Ricardo Santos, Cleber Vinicius Brito dosPungartnik, Paula CristinaGuimarães, Raphael Mendonçareponame:SciELO Preprintsinstname:SciELOinstacron:SCI2021-09-02T13:08:26Zoai:ops.preprints.scielo.org:preprint/2891Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2021-09-02T13:08:26SciELO Preprints - SciELOfalse
dc.title.none.fl_str_mv Spatial analysis of the origin-destination flow of admissions for severe acute respiratory syndrome by COVID-19 in the Metropolitan Region of Rio de Janeiro
Análise espacial do fluxo origem-destino das internações de Síndrome Respiratória Aguda Grave por COVID-19 na Região Metropolitana do Rio de Janeiro
title Spatial analysis of the origin-destination flow of admissions for severe acute respiratory syndrome by COVID-19 in the Metropolitan Region of Rio de Janeiro
spellingShingle Spatial analysis of the origin-destination flow of admissions for severe acute respiratory syndrome by COVID-19 in the Metropolitan Region of Rio de Janeiro
Cavalcante, João Roberto
Covid-19
análise espacial
gestão em saúde
infecções por coronavírus
Covid-19
spatial analysis
health management
coronavirus infections
title_short Spatial analysis of the origin-destination flow of admissions for severe acute respiratory syndrome by COVID-19 in the Metropolitan Region of Rio de Janeiro
title_full Spatial analysis of the origin-destination flow of admissions for severe acute respiratory syndrome by COVID-19 in the Metropolitan Region of Rio de Janeiro
title_fullStr Spatial analysis of the origin-destination flow of admissions for severe acute respiratory syndrome by COVID-19 in the Metropolitan Region of Rio de Janeiro
title_full_unstemmed Spatial analysis of the origin-destination flow of admissions for severe acute respiratory syndrome by COVID-19 in the Metropolitan Region of Rio de Janeiro
title_sort Spatial analysis of the origin-destination flow of admissions for severe acute respiratory syndrome by COVID-19 in the Metropolitan Region of Rio de Janeiro
author Cavalcante, João Roberto
author_facet Cavalcante, João Roberto
Xavier, Diego Ricardo
Santos, Cleber Vinicius Brito dos
Pungartnik, Paula Cristina
Guimarães, Raphael Mendonça
author_role author
author2 Xavier, Diego Ricardo
Santos, Cleber Vinicius Brito dos
Pungartnik, Paula Cristina
Guimarães, Raphael Mendonça
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Cavalcante, João Roberto
Xavier, Diego Ricardo
Santos, Cleber Vinicius Brito dos
Pungartnik, Paula Cristina
Guimarães, Raphael Mendonça
dc.subject.por.fl_str_mv Covid-19
análise espacial
gestão em saúde
infecções por coronavírus
Covid-19
spatial analysis
health management
coronavirus infections
topic Covid-19
análise espacial
gestão em saúde
infecções por coronavírus
Covid-19
spatial analysis
health management
coronavirus infections
description This study analyzed the intercity flow of SRAG admissions by COVID-19 in the metropolitan region of Rio de Janeiro. We identified 12,676 inter-municipal hospitalizations for COVID-19 involving the municipality of Rio de Janeiro. Among these admissions, 11,288 (89.0%) were residents of the RM, 87% were residents of other cities in the RM and hospitalized in the MRJ and 13% residents of the MRJ and hospitalized in other municipalities in the RM. There is a negative correlation between the distance between cities and the origin-destination flow (r=0.62, p<0.001). MRJ imports more SRAG admissions by COVID-19 than it exports. This study highlights the importance of care networks for more severe cases that mainly require specialized care.
publishDate 2021
dc.date.none.fl_str_mv 2021-09-02
dc.type.driver.fl_str_mv info:eu-repo/semantics/preprint
info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://preprints.scielo.org/index.php/scielo/preprint/view/2891
10.1590/1980-549720210054
url https://preprints.scielo.org/index.php/scielo/preprint/view/2891
identifier_str_mv 10.1590/1980-549720210054
dc.language.iso.fl_str_mv por
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dc.relation.none.fl_str_mv https://preprints.scielo.org/index.php/scielo/article/view/2891/5108
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
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dc.publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
dc.source.none.fl_str_mv reponame:SciELO Preprints
instname:SciELO
instacron:SCI
instname_str SciELO
instacron_str SCI
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collection SciELO Preprints
repository.name.fl_str_mv SciELO Preprints - SciELO
repository.mail.fl_str_mv scielo.submission@scielo.org
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