A joint Bayesian spatiotemporal risk prediction model of COVID-19 incidence, IC admission, and death with application to Sweden

The three closely related COVID-19 outcomes of incidence, intensive care (IC) admission and death, are commonly modelled separately leading to biased estimation of the parameters and relatively poor forecasts. This paper presents a joint spatiotemporal model of the three outcomes based on weekly dat...

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Detalles Bibliográficos
Autores principales: Jaya, I Gede Nyoman Mindra, Folmer, Henk, Lundberg, Johan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707215/
https://www.ncbi.nlm.nih.gov/pubmed/36465998
http://dx.doi.org/10.1007/s00168-022-01191-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707215/
https://www.ncbi.nlm.nih.gov/pubmed/36465998
http://dx.doi.org/10.1007/s00168-022-01191-1

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