Length of Stay Analysis of COVID-19 Hospitalizations Using a Count Regression Model and Quantile Regression: A Study in Bologna, Italy.

Zeleke, Addisu Jember; Moscato, Serena; Miglio, Rossella; Chiari, Lorenzo

Zeleke, Addisu Jember; Moscato, Serena; Miglio, Rossella; Chiari, Lorenzo.

Afiliação

Zeleke AJ; Department of Electrical, Electronic, and Information Engineering Guglielmo Marconi, University of Bologna, 40126 Bologna, Italy.
Moscato S; Department of Electrical, Electronic, and Information Engineering Guglielmo Marconi, University of Bologna, 40126 Bologna, Italy.
Miglio R; Department of Statistical Sciences, University of Bologna, 40126 Bologna, Italy.
Chiari L; Department of Electrical, Electronic, and Information Engineering Guglielmo Marconi, University of Bologna, 40126 Bologna, Italy.

Int J Environ Res Public Health ; 19(4)2022 02 16.

Article em En | MEDLINE | ID: mdl-35206411

Assuntos

COVID-19; COVID-19/epidemiologia; Hospitalização; Humanos; Unidades de Terapia Intensiva; Tempo de Internação; SARS-CoV-2

Palavras-chave

AIC; COVID-19; Hurdle model; Rootograms; Vuong test; count data model; generalized linear model; length of stay; quantile regression

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Itália

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