Spatial correlation of covid-19 with intensive care unit beds in Paraná
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , |
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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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 |
format |
article |
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 |
_version_ |
1748936506709377024 |