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Bayesian uncertainty quantification for transmissibility of influenza, norovirus and Ebola using information geometry
Infectious diseases exert a large and in many contexts growing burden on human health, but violate most of the assumptions of classical epidemiological statistics and hence require a mathematically sophisticated approach. Viral shedding data are collected during human studies—either where volunteers...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Royal Society
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5014059/ https://www.ncbi.nlm.nih.gov/pubmed/27558850 http://dx.doi.org/10.1098/rsif.2016.0279 |