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Data-driven prediction and origin identification of epidemics in population networks
Effective intervention strategies for epidemics rely on the identification of their origin and on the robustness of the predictions made by network disease models. We introduce a Bayesian uncertainty quantification framework to infer model parameters for a disease spreading on a network of communiti...
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| Publicado no: | R Soc Open Sci |
|---|---|
| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Royal Society
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7890494/ https://ncbi.nlm.nih.gov/pubmed/33614060 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsos.200531 |
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