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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2023
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| Materias: | |
| 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 |