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Length of Stay Analysis of COVID-19 Hospitalizations Using a Count Regression Model and Quantile Reg...

Length of Stay Analysis of COVID-19 Hospitalizations Using a Count Regression Model and Quantile Reg...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8871974

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

About this item

Full title

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

Publisher

Switzerland: MDPI AG

Journal title

International journal of environmental research and public health, 2022-02, Vol.19 (4), p.2224

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

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 COVID patients to understand which covariates signifi...

Alternative Titles

Full title

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

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8871974

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8871974

Other Identifiers

ISSN

1660-4601,1661-7827

E-ISSN

1660-4601

DOI

10.3390/ijerph19042224

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