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

This study aimed to identify and explore the hospital admission risk factors associated with the length of stay (LoS) by applying a relatively novel statistical method for count data using predictors among COVID-19 patients in Bologna, Italy. The second goal of this study was to model the LoS of COV...

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Detalles Bibliográficos
Autores principales: Zeleke, Addisu Jember, Moscato, Serena, Miglio, Rossella, Chiari, Lorenzo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871974/
https://www.ncbi.nlm.nih.gov/pubmed/35206411
http://dx.doi.org/10.3390/ijerph19042224

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871974/
https://www.ncbi.nlm.nih.gov/pubmed/35206411
http://dx.doi.org/10.3390/ijerph19042224

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