A comprehensive county level model to identify factors affecting hospital capacity and predict future hospital demand

Abstract The sustained COVID-19 case numbers and the associated hospitalizations have placed a substantial burden on health care ecosystem comprising of hospitals, clinics, doctors and nurses. However, as of today, only a small number of studies have examined detailed hospitalization data from a pla...

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Autores principales:	Tanmoy Bhowmik, Naveen Eluru
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/18118665d12045cf92c5772d56da697d
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spelling	oai:doaj.org-article:18118665d12045cf92c5772d56da697d2021-12-05T12:14:01ZA comprehensive county level model to identify factors affecting hospital capacity and predict future hospital demand10.1038/s41598-021-02376-y2045-2322https://doaj.org/article/18118665d12045cf92c5772d56da697d2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-02376-yhttps://doaj.org/toc/2045-2322Abstract The sustained COVID-19 case numbers and the associated hospitalizations have placed a substantial burden on health care ecosystem comprising of hospitals, clinics, doctors and nurses. However, as of today, only a small number of studies have examined detailed hospitalization data from a planning perspective. The current study develops a comprehensive framework for understanding the critical factors associated with county level hospitalization and ICU usage rates across the US employing a host of independent variables. Drawing from the recently released Department of Health and Human Services weekly hospitalization data, we study the overall hospitalization and ICU usage—not only COVID-19 hospitalizations. Developing a framework that examines overall hospitalizations and ICU usage can better reflect the plausible hospital system recovery path to pre-COVID level hospitalization trends. The models are subsequently employed to generate predictions for county level hospitalization and ICU usage rates in the future under several COVID-19 transmission scenarios considering the emergence of new COVID-19 variants and vaccination rates. The exercise allows us to identify vulnerable counties and regions under stress with high hospitalization and ICU rates that can be assisted with remedial measures. Further, the model will allow hospitals to understand evolving displaced non-COVID hospital demand.Tanmoy BhowmikNaveen EluruNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Tanmoy Bhowmik Naveen Eluru A comprehensive county level model to identify factors affecting hospital capacity and predict future hospital demand
description	Abstract The sustained COVID-19 case numbers and the associated hospitalizations have placed a substantial burden on health care ecosystem comprising of hospitals, clinics, doctors and nurses. However, as of today, only a small number of studies have examined detailed hospitalization data from a planning perspective. The current study develops a comprehensive framework for understanding the critical factors associated with county level hospitalization and ICU usage rates across the US employing a host of independent variables. Drawing from the recently released Department of Health and Human Services weekly hospitalization data, we study the overall hospitalization and ICU usage—not only COVID-19 hospitalizations. Developing a framework that examines overall hospitalizations and ICU usage can better reflect the plausible hospital system recovery path to pre-COVID level hospitalization trends. The models are subsequently employed to generate predictions for county level hospitalization and ICU usage rates in the future under several COVID-19 transmission scenarios considering the emergence of new COVID-19 variants and vaccination rates. The exercise allows us to identify vulnerable counties and regions under stress with high hospitalization and ICU rates that can be assisted with remedial measures. Further, the model will allow hospitals to understand evolving displaced non-COVID hospital demand.
format	article
author	Tanmoy Bhowmik Naveen Eluru
author_facet	Tanmoy Bhowmik Naveen Eluru
author_sort	Tanmoy Bhowmik
title	A comprehensive county level model to identify factors affecting hospital capacity and predict future hospital demand
title_short	A comprehensive county level model to identify factors affecting hospital capacity and predict future hospital demand
title_full	A comprehensive county level model to identify factors affecting hospital capacity and predict future hospital demand
title_fullStr	A comprehensive county level model to identify factors affecting hospital capacity and predict future hospital demand
title_full_unstemmed	A comprehensive county level model to identify factors affecting hospital capacity and predict future hospital demand
title_sort	comprehensive county level model to identify factors affecting hospital capacity and predict future hospital demand
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/18118665d12045cf92c5772d56da697d
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A comprehensive county level model to identify factors affecting hospital capacity and predict future hospital demand

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