Ensemble inference of unobserved infections in networks using partial observations

Undetected infections fuel the dissemination of many infectious agents. However, identification of unobserved infectious individuals remains challenging due to limited observations of infections and imperfect knowledge of key transmission parameters. Here, we use an ensemble Bayesian inference metho...

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Detalles Bibliográficos
Autores principales: Zhang, Renquan, Tai, Jilei, Pei, Sen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10434926/
https://www.ncbi.nlm.nih.gov/pubmed/37549190
http://dx.doi.org/10.1371/journal.pcbi.1011355

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10434926/
https://www.ncbi.nlm.nih.gov/pubmed/37549190
http://dx.doi.org/10.1371/journal.pcbi.1011355

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