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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...
Autores principales: | Hadley, Emily, Rhea, Sarah, Jones, Kasey, Li, Lei, Stoner, Marie, Bobashev, Georgiy |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
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 |
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