On the Parametrization of Epidemiologic Models—Lessons from Modelling COVID-19 Epidemic

Numerous prediction models of SARS-CoV-2 pandemic were proposed in the past. Unknown parameters of these models are often estimated based on observational data. However, lag in case-reporting, changing testing policy or incompleteness of data lead to biased estimates. Moreover, parametrization is ti...

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Detalles Bibliográficos
Autores principales: Kheifetz, Yuri, Kirsten, Holger, Scholz, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9316470/
https://www.ncbi.nlm.nih.gov/pubmed/35891447
http://dx.doi.org/10.3390/v14071468

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9316470/
https://www.ncbi.nlm.nih.gov/pubmed/35891447
http://dx.doi.org/10.3390/v14071468

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