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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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science (PLoS)
2016-10-01
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| Col·lecció: | PLoS Computational Biology |
| Accés en línia: | https://doi.org/10.1371/journal.pcbi.1005133 |
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