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A Bayesian dynamic model for influenza surveillance
The severe acute respiratory syndrome (SARS) epidemic, the growing fear of an influenza pandemic and the recent shortage of flu vaccine highlight the need for surveillance systems able to provide early, quantitative predictions of epidemic events. We use dynamic Bayesian networks to discover the int...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2006
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4128871/ https://ncbi.nlm.nih.gov/pubmed/16645996 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.2566 |
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