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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Detalles Bibliográficos
Autores principales: Larson, Karen, Arampatzis, Georgios, Bowman, Clark, Chen, Zhizhong, Hadjidoukas, Panagiotis, Papadimitriou, Costas, Koumoutsakos, Petros, Matzavinos, Anastasios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2021
Materias:
Mathematics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7890494/
https://www.ncbi.nlm.nih.gov/pubmed/33614060
http://dx.doi.org/10.1098/rsos.200531

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7890494/
https://www.ncbi.nlm.nih.gov/pubmed/33614060
http://dx.doi.org/10.1098/rsos.200531

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