Bayesian inference of heterogeneous epidemic models: Application to COVID-19 spread accounting for long-term care facilities()

We propose a high dimensional Bayesian inference framework for learning heterogeneous dynamics of a COVID-19 model, with a specific application to the dynamics and severity of COVID-19 inside and outside long-term care (LTC) facilities. We develop a heterogeneous compartmental model that accounts fo...

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Detalles Bibliográficos
Autores principales: Chen, Peng, Wu, Keyi, Ghattas, Omar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8253717/
https://www.ncbi.nlm.nih.gov/pubmed/34248229
http://dx.doi.org/10.1016/j.cma.2021.114020

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8253717/
https://www.ncbi.nlm.nih.gov/pubmed/34248229
http://dx.doi.org/10.1016/j.cma.2021.114020

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