Retrospective Parameter Estimation and Forecast of Respiratory Syncytial Virus in the United States

Recent studies have shown that systems combining mathematical modeling and Bayesian inference methods can be used to generate real-time forecasts of future infectious disease incidence. Here we develop such a system to study and forecast respiratory syncytial virus (RSV). RSV is the most common caus...

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Detalles Bibliográficos
Autores principales: Reis, Julia, Shaman, Jeffrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5055361/
https://www.ncbi.nlm.nih.gov/pubmed/27716828
http://dx.doi.org/10.1371/journal.pcbi.1005133

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5055361/
https://www.ncbi.nlm.nih.gov/pubmed/27716828
http://dx.doi.org/10.1371/journal.pcbi.1005133

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