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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| 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 |