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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)....
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2018
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| Materias: | |
| 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 |