Can Machines Learn Respiratory Virus Epidemiology?: A Comparative Study of Likelihood-Free Methods for the Estimation of Epidemiological Dynamics

To estimate and predict the transmission dynamics of respiratory viruses, the estimation of the basic reproduction number, R(0), is essential. Recently, approximate Bayesian computation methods have been used as likelihood free methods to estimate epidemiological model parameters, particularly R(0)....

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Detalles Bibliográficos
Autores principales: Tessmer, Heidi L., Ito, Kimihito, Omori, Ryosuke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Microbiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5840242/
https://www.ncbi.nlm.nih.gov/pubmed/29552000
http://dx.doi.org/10.3389/fmicb.2018.00343

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5840242/
https://www.ncbi.nlm.nih.gov/pubmed/29552000
http://dx.doi.org/10.3389/fmicb.2018.00343

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