Spatial correlation of covid-19 with intensive care unit beds in Paraná

Detalhes bibliográficos
Autor(a) principal: Covre,Eduardo Rocha
Data de Publicação: 2022
Outros Autores: Pereira,Natan David, Oliveira,Natan Nascimento de, Charlo,Patrícia Bossolani, Oliveira,Magda Lúcia Félix de, Oliveira,Rosana Rosseto de, Carreira,Lígia, Facchini,Luiz Augusto, Vissoci,João Ricardo Nickenig, Salci,Maria Aparecida
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista de Saúde Pública
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102022000100212
Resumo: ABSTRACT OBJECTIVE To analyze the spatial correlation between confirmed cases of covid-19 and the intensive care unit beds exclusive to the disease in municipalities of Paraná. METHODS This is an epidemiological study of ecological type which used data from the Epidemiological Report provided by the Department of Health of Paraná on the confirmed cases of covid-19 from March 12, 2020, to January 18, 2021. The number of intensive care beds exclusive to covid-19 in each municipality of Paraná was obtained by the Cadastro Nacional de Estabelecimentos de Saúde (CNES - National Registry of Health Establishments), provided online by the Departamento de Informática do Sistema Único de Saúde (Datasus - Informatics Department of the Brazilian Unified Health System). The Bivariate Moran’s Index (local and global) was used to analyze the intensive care bed variable and spatial correlation, with a 5% significance level. LISA Map was used to identify critical and transition areas. RESULTS In the analyzed period, we found 499,777 confirmed cases of covid-19 and 1,029 intensive care beds exclusive to the disease in Paraná. We identified a positive spatial autocorrelation between the confirmed cases of covid-19 (0.404–p ≤ 0.001) and intensive care beds exclusive to the disease (0.085–p ≤ 0.001) and disparities between the regions of Paraná. CONCLUSION Spatial analysis indicated that confirmed cases of covid-19 are related to the distribution of intensive care beds exclusive to the disease in Paraná, allowing us to find priority areas of care in the state regarding the dissemination and control of the disease.
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spelling Spatial correlation of covid-19 with intensive care unit beds in ParanáCOVID-19, complicationsIntensive Care Units, supply & distributionSpatial AnalysisHealth Services Needs and DemandEcological StudiesABSTRACT OBJECTIVE To analyze the spatial correlation between confirmed cases of covid-19 and the intensive care unit beds exclusive to the disease in municipalities of Paraná. METHODS This is an epidemiological study of ecological type which used data from the Epidemiological Report provided by the Department of Health of Paraná on the confirmed cases of covid-19 from March 12, 2020, to January 18, 2021. The number of intensive care beds exclusive to covid-19 in each municipality of Paraná was obtained by the Cadastro Nacional de Estabelecimentos de Saúde (CNES - National Registry of Health Establishments), provided online by the Departamento de Informática do Sistema Único de Saúde (Datasus - Informatics Department of the Brazilian Unified Health System). The Bivariate Moran’s Index (local and global) was used to analyze the intensive care bed variable and spatial correlation, with a 5% significance level. LISA Map was used to identify critical and transition areas. RESULTS In the analyzed period, we found 499,777 confirmed cases of covid-19 and 1,029 intensive care beds exclusive to the disease in Paraná. We identified a positive spatial autocorrelation between the confirmed cases of covid-19 (0.404–p ≤ 0.001) and intensive care beds exclusive to the disease (0.085–p ≤ 0.001) and disparities between the regions of Paraná. CONCLUSION Spatial analysis indicated that confirmed cases of covid-19 are related to the distribution of intensive care beds exclusive to the disease in Paraná, allowing us to find priority areas of care in the state regarding the dissemination and control of the disease.Faculdade de Saúde Pública da Universidade de São Paulo2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102022000100212Revista de Saúde Pública v.56 2022reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USP10.11606/s1518-8787.2022056003868info:eu-repo/semantics/openAccessCovre,Eduardo RochaPereira,Natan DavidOliveira,Natan Nascimento deCharlo,Patrícia BossolaniOliveira,Magda Lúcia Félix deOliveira,Rosana Rosseto deCarreira,LígiaFacchini,Luiz AugustoVissoci,João Ricardo NickenigSalci,Maria Aparecidaeng2022-03-29T00:00:00Zoai:scielo:S0034-89102022000100212Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=0034-8910&lng=pt&nrm=isoONGhttps://old.scielo.br/oai/scielo-oai.phprevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2022-03-29T00:00Revista de Saúde Pública - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Spatial correlation of covid-19 with intensive care unit beds in Paraná
title Spatial correlation of covid-19 with intensive care unit beds in Paraná
spellingShingle Spatial correlation of covid-19 with intensive care unit beds in Paraná
Covre,Eduardo Rocha
COVID-19, complications
Intensive Care Units, supply & distribution
Spatial Analysis
Health Services Needs and Demand
Ecological Studies
title_short Spatial correlation of covid-19 with intensive care unit beds in Paraná
title_full Spatial correlation of covid-19 with intensive care unit beds in Paraná
title_fullStr Spatial correlation of covid-19 with intensive care unit beds in Paraná
title_full_unstemmed Spatial correlation of covid-19 with intensive care unit beds in Paraná
title_sort Spatial correlation of covid-19 with intensive care unit beds in Paraná
author Covre,Eduardo Rocha
author_facet Covre,Eduardo Rocha
Pereira,Natan David
Oliveira,Natan Nascimento de
Charlo,Patrícia Bossolani
Oliveira,Magda Lúcia Félix de
Oliveira,Rosana Rosseto de
Carreira,Lígia
Facchini,Luiz Augusto
Vissoci,João Ricardo Nickenig
Salci,Maria Aparecida
author_role author
author2 Pereira,Natan David
Oliveira,Natan Nascimento de
Charlo,Patrícia Bossolani
Oliveira,Magda Lúcia Félix de
Oliveira,Rosana Rosseto de
Carreira,Lígia
Facchini,Luiz Augusto
Vissoci,João Ricardo Nickenig
Salci,Maria Aparecida
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Covre,Eduardo Rocha
Pereira,Natan David
Oliveira,Natan Nascimento de
Charlo,Patrícia Bossolani
Oliveira,Magda Lúcia Félix de
Oliveira,Rosana Rosseto de
Carreira,Lígia
Facchini,Luiz Augusto
Vissoci,João Ricardo Nickenig
Salci,Maria Aparecida
dc.subject.por.fl_str_mv COVID-19, complications
Intensive Care Units, supply & distribution
Spatial Analysis
Health Services Needs and Demand
Ecological Studies
topic COVID-19, complications
Intensive Care Units, supply & distribution
Spatial Analysis
Health Services Needs and Demand
Ecological Studies
description ABSTRACT OBJECTIVE To analyze the spatial correlation between confirmed cases of covid-19 and the intensive care unit beds exclusive to the disease in municipalities of Paraná. METHODS This is an epidemiological study of ecological type which used data from the Epidemiological Report provided by the Department of Health of Paraná on the confirmed cases of covid-19 from March 12, 2020, to January 18, 2021. The number of intensive care beds exclusive to covid-19 in each municipality of Paraná was obtained by the Cadastro Nacional de Estabelecimentos de Saúde (CNES - National Registry of Health Establishments), provided online by the Departamento de Informática do Sistema Único de Saúde (Datasus - Informatics Department of the Brazilian Unified Health System). The Bivariate Moran’s Index (local and global) was used to analyze the intensive care bed variable and spatial correlation, with a 5% significance level. LISA Map was used to identify critical and transition areas. RESULTS In the analyzed period, we found 499,777 confirmed cases of covid-19 and 1,029 intensive care beds exclusive to the disease in Paraná. We identified a positive spatial autocorrelation between the confirmed cases of covid-19 (0.404–p ≤ 0.001) and intensive care beds exclusive to the disease (0.085–p ≤ 0.001) and disparities between the regions of Paraná. CONCLUSION Spatial analysis indicated that confirmed cases of covid-19 are related to the distribution of intensive care beds exclusive to the disease in Paraná, allowing us to find priority areas of care in the state regarding the dissemination and control of the disease.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102022000100212
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102022000100212
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.11606/s1518-8787.2022056003868
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Faculdade de Saúde Pública da Universidade de São Paulo
publisher.none.fl_str_mv Faculdade de Saúde Pública da Universidade de São Paulo
dc.source.none.fl_str_mv Revista de Saúde Pública v.56 2022
reponame:Revista de Saúde Pública
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Revista de Saúde Pública
collection Revista de Saúde Pública
repository.name.fl_str_mv Revista de Saúde Pública - Universidade de São Paulo (USP)
repository.mail.fl_str_mv revsp@org.usp.br||revsp1@usp.br
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