Bayesian data assimilation for estimating instantaneous reproduction numbers during epidemics: Applications to COVID-19

Estimating the changes of epidemiological parameters, such as instantaneous reproduction number, R(t), is important for understanding the transmission dynamics of infectious diseases. Current estimates of time-varying epidemiological parameters often face problems such as lagging observations, avera...

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Detalles Bibliográficos
Autores principales: Yang, Xian, Wang, Shuo, Xing, Yuting, Li, Ling, Xu, Richard Yi Da, Friston, Karl J., Guo, Yike
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8923496/
https://www.ncbi.nlm.nih.gov/pubmed/35196320
http://dx.doi.org/10.1371/journal.pcbi.1009807

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8923496/
https://www.ncbi.nlm.nih.gov/pubmed/35196320
http://dx.doi.org/10.1371/journal.pcbi.1009807

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