Estimating the course of the COVID-19 pandemic in Germany via spline-based hierarchical modelling of death counts

We consider a retrospective modelling approach for estimating effective reproduction numbers based on death counts during the first year of the COVID-19 pandemic in Germany. The proposed Bayesian hierarchical model incorporates splines to estimate reproduction numbers flexibly over time while adjust...

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Detalles Bibliográficos
Autores principales: Wistuba, Tobias, Mayr, Andreas, Staerk, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9191534/
https://www.ncbi.nlm.nih.gov/pubmed/35697761
http://dx.doi.org/10.1038/s41598-022-13723-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9191534/
https://www.ncbi.nlm.nih.gov/pubmed/35697761
http://dx.doi.org/10.1038/s41598-022-13723-y

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