Enhancing the prediction of hospitalization from a COVID-19 agent-based model: A Bayesian method for model parameter estimation

Agent-based models (ABMs) have become a common tool for estimating demand for hospital beds during the COVID-19 pandemic. A key parameter in these ABMs is the probability of hospitalization for agents with COVID-19. Many published COVID-19 ABMs use either single point or age-specific estimates of th...

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Detalles Bibliográficos
Autores principales: Hadley, Emily, Rhea, Sarah, Jones, Kasey, Li, Lei, Stoner, Marie, Bobashev, Georgiy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8887758/
https://www.ncbi.nlm.nih.gov/pubmed/35231066
http://dx.doi.org/10.1371/journal.pone.0264704

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8887758/
https://www.ncbi.nlm.nih.gov/pubmed/35231066
http://dx.doi.org/10.1371/journal.pone.0264704

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