Spatial correlation of covid-19 with intensive care unit beds in Paraná
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2002 |
| Outros Autores: | , , , , , , , , |
| Tipo de documento: | Artigo |
| Idioma: | eng por |
| Título da fonte: | Revista de Saúde Pública |
| DOI: | 10.11606/s1518-8787.2022056003868 |
| Texto Completo: | https://www.revistas.usp.br/rsp/article/view/196466 |
Resumo: | 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 ParanáCorrelação espacial da covid-19 com leitos de unidades de terapia intensiva no ParanáCOVID-19, complications Intensive Care Units, supply & distributionSpatial AnalysisHealth Services Needs and DemandEcological StudiesCOVID-19, complicaçõesUnidades de Terapia Intensiva, provisão & distribuiçãoAnálise EspacialNecessidades e Demandas de Serviços de SaúdeEstudos EcológicosOBJECTIVE 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.OBJETIVO Analisar a correlação espacial entre os casos confirmados de covid-19 com os leitos de unidades de terapia intensiva exclusivos para a doença nos municípios do Paraná. MÉTODO Trata-se de um estudo epidemiológico, do tipo ecológico que utilizou dados do Informe Epidemiológico fornecido pela Secretaria de Estado da Saúde do Paraná sobre os casos confirmados de covid-19, no período de 12 de março de 2020 a 18 de janeiro de 2021. A quantidade de leitos de terapia intensiva exclusivos para covid-19 de cada município paranaense foi obtida pelo Cadastro Nacional de Estabelecimentos de Saúde disponibilizado online pelo Departamento de Informática do Sistema Único de Saúde. A variável leito de terapia intensiva foi analisada pelo Índice Bivariado de Moran (local e global). Para a identificação de áreas críticas e de transição utilizou-se o LISA Map. Para avaliar a correlação espacial foi utilizado o Índice Bivariado de Moran, considerando o nível de significância de 5%. RESULTADOS No período analisado foram confirmados 499.777 casos de covid-19 no Paraná e identificados 1.029 leitos de terapia intensiva exclusivos para a doença entre os municípios do estado. Foi identificado autocorrelação espacial positiva entre os casos confirmados de covid-19 (0,404–p ≤ 0,001) com os leitos de terapia intensiva exclusivos para a doença (0,085–p ≤ 0,001) e disparidades entre as regiões do Paraná. CONCLUSÃO A análise espacial permitiu confirmar a relação entre os casos confirmados de covid-19 e a distribuição de leitos de terapia intensiva exclusivos para a doença no Paraná e possibilitou identificar áreas prioritárias de atenção no estado, relacionadas à disseminação e controle da doença.Universidade de São Paulo. Faculdade de Saúde Pública2002-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/xmlapplication/pdfhttps://www.revistas.usp.br/rsp/article/view/19646610.11606/s1518-8787.2022056003868Revista de Saúde Pública; Vol. 56 (2022); 14Revista de Saúde Pública; Vol. 56 (2022); 14Revista de Saúde Pública; v. 56 (2022); 141518-87870034-8910reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USPengporhttps://www.revistas.usp.br/rsp/article/view/196466/181036https://www.revistas.usp.br/rsp/article/view/196466/181035https://www.revistas.usp.br/rsp/article/view/196466/181037Copyright (c) 2022 Eduardo Rocha Covre, Natan David Pereira, Natan Nascimento de Oliveira, Patrícia Bossolani Charlo, Magda Lúcia Félix de Oliveira, Rosana Rosseto de Oliveira, Lígia Carreira, Luiz Augusto Facchini, João Ricardo Nickenig Vissoci, Maria Aparecida Salcihttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCovre, Eduardo Rocha Pereira, Natan DavidOliveira, Natan Nascimento de Charlo, Patrícia BossolaniOliveira, Magda Lúcia Félix deOliveira, Rosana Rosseto de Carreira, LígiaFacchini, Luiz AugustoVissoci, João Ricardo NickenigSalci, Maria Aparecida2022-04-08T18:04:18Zoai:revistas.usp.br:article/196466Revistahttps://www.revistas.usp.br/rsp/indexONGhttps://www.revistas.usp.br/rsp/oairevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2022-04-08T18:04:18Revista 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 Correlação espacial da covid-19 com leitos de unidades de terapia intensiva no 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 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 COVID-19, complicações Unidades de Terapia Intensiva, provisão & distribuição Análise Espacial Necessidades e Demandas de Serviços de Saúde Estudos Ecológicos Covre, Eduardo Rocha COVID-19, complications Intensive Care Units, supply & distribution Spatial Analysis Health Services Needs and Demand Ecological Studies COVID-19, complicações Unidades de Terapia Intensiva, provisão & distribuição Análise Espacial Necessidades e Demandas de Serviços de Saúde Estudos Ecológicos |
| 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 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 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 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 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 COVID-19, complicações Unidades de Terapia Intensiva, provisão & distribuição Análise Espacial Necessidades e Demandas de Serviços de Saúde Estudos Ecológicos |
| topic |
COVID-19, complications Intensive Care Units, supply & distribution Spatial Analysis Health Services Needs and Demand Ecological Studies COVID-19, complicações Unidades de Terapia Intensiva, provisão & distribuição Análise Espacial Necessidades e Demandas de Serviços de Saúde Estudos Ecológicos |
| description |
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 |
2002 |
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2002-04-01 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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https://www.revistas.usp.br/rsp/article/view/196466 10.11606/s1518-8787.2022056003868 |
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https://www.revistas.usp.br/rsp/article/view/196466 |
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10.11606/s1518-8787.2022056003868 |
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eng por |
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eng por |
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https://www.revistas.usp.br/rsp/article/view/196466/181036 https://www.revistas.usp.br/rsp/article/view/196466/181035 https://www.revistas.usp.br/rsp/article/view/196466/181037 |
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http://creativecommons.org/licenses/by/4.0 |
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openAccess |
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application/pdf text/xml application/pdf |
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Universidade de São Paulo. Faculdade de Saúde Pública |
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Universidade de São Paulo. Faculdade de Saúde Pública |
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Revista de Saúde Pública; Vol. 56 (2022); 14 Revista de Saúde Pública; Vol. 56 (2022); 14 Revista de Saúde Pública; v. 56 (2022); 14 1518-8787 0034-8910 reponame:Revista de Saúde Pública instname:Universidade de São Paulo (USP) instacron:USP |
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Revista de Saúde Pública - Universidade de São Paulo (USP) |
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10.11606/s1518-8787.2022056003868 |