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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier B.V.
2021
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| Materias: | |
| 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 |