Projecting COVID-19 cases and hospital burden in Ohio.
COVID-19
Dynamical Survival Analysis
Prediction
SIR model
Journal
Journal of theoretical biology
ISSN: 1095-8541
Titre abrégé: J Theor Biol
Pays: England
ID NLM: 0376342
Informations de publication
Date de publication:
21 03 2023
21 03 2023
Historique:
received:
09
08
2022
revised:
13
12
2022
accepted:
26
12
2022
pubmed:
11
1
2023
medline:
1
2
2023
entrez:
10
1
2023
Statut:
ppublish
Résumé
As the Coronavirus 2019 disease (COVID-19) started to spread rapidly in the state of Ohio, the Ecology, Epidemiology and Population Health (EEPH) program within the Infectious Diseases Institute (IDI) at The Ohio State University (OSU) took the initiative to offer epidemic modeling and decision analytics support to the Ohio Department of Health (ODH). This paper describes the methodology used by the OSU/IDI response modeling team to predict statewide cases of new infections as well as potential hospital burden in the state. The methodology has two components: (1) A Dynamical Survival Analysis (DSA)-based statistical method to perform parameter inference, statewide prediction and uncertainty quantification. (2) A geographic component that down-projects statewide predicted counts to potential hospital burden across the state. We demonstrate the overall methodology with publicly available data. A Python implementation of the methodology is also made publicly available. This manuscript was submitted as part of a theme issue on "Modelling COVID-19 and Preparedness for Future Pandemics".
Identifiants
pubmed: 36627078
pii: S0022-5193(22)00395-2
doi: 10.1016/j.jtbi.2022.111404
pmc: PMC9824941
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
111404Subventions
Organisme : NIAID NIH HHS
ID : R01 AI116770
Pays : United States
Commentaires et corrections
Type : UpdateOf
Informations de copyright
Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.
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