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Spatial correlation of covid-19 with intensive care unit beds in Paraná.
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.
  • Covre ER; Universidade Estadual de Maringá. Programa de Pós-Graduação em Enfermagem. Maringá, PR, Brasil.
  • Pereira ND; Universidade Estadual de Maringá. Programa de Pós-Graduação em Enfermagem. Maringá, PR, Brasil.
  • Oliveira NN; Universidade Estadual de Maringá. Programa de Pós-Graduação em Enfermagem. Maringá, PR, Brasil.
  • Charlo PB; Universidade Estadual de Maringá. Programa de Pós-Graduação em Enfermagem. Maringá, PR, Brasil.
  • Oliveira MLF; Universidade Estadual de Maringá. Programa de Pós-Graduação em Enfermagem. Maringá, PR, Brasil.
  • Oliveira RR; Universidade Estadual de Maringá. Programa de Pós-Graduação em Enfermagem. Maringá, PR, Brasil.
  • Carreira L; Centro Universitário Ingá. Departamento de Enfermagem. Maringá, PR, Brasil.
  • Facchini LA; Universidade Estadual de Maringá. Programa de Pós-Graduação em Enfermagem. Maringá, PR, Brasil.
  • Vissoci JRN; Universidade Federal de Pelotas. Programa de Pós-Graduação em Epidemiologia e Saúde da Família. Pelotas, RS, Brasil.
  • Salci MA; Duke University. Duke University Medical Center. Durham, NC, United States.
Rev Saude Publica ; 56: 14, 2022.
Article in English, Portuguese | MEDLINE | ID: covidwho-1780268
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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: South America / Brazil Language: English / Portuguese Journal: Rev Saude Publica Year: 2022 Document Type: Article Affiliation country: S1518-8787.2022056003868

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: South America / Brazil Language: English / Portuguese Journal: Rev Saude Publica Year: 2022 Document Type: Article Affiliation country: S1518-8787.2022056003868