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Estimation and prediction for a mechanistic model of measles transmission using particle filtering and maximum likelihood estimation
Disease incidence reported directly within health systems frequently reflects a partial observation relative to the true incidence in the population. State‐space models present a general framework for inferring both the dynamics of infectious disease processes and the unobserved burden of disease in...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6771900/ https://www.ncbi.nlm.nih.gov/pubmed/31290184 http://dx.doi.org/10.1002/sim.8290 |