Context-dependent representation of within- and between-model uncertainty: aggregating probabilistic predictions in infectious disease epidemiology

Probabilistic predictions support public health planning and decision making, especially in infectious disease emergencies. Aggregating outputs from multiple models yields more robust predictions of outcomes and associated uncertainty. While the selection of an aggregation method can be guided by re...

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Detalles Bibliográficos
Autores principales: Howerton, Emily, Runge, Michael C., Bogich, Tiffany L., Borchering, Rebecca K., Inamine, Hidetoshi, Lessler, Justin, Mullany, Luke C., Probert, William J. M., Smith, Claire P., Truelove, Shaun, Viboud, Cécile, Shea, Katriona
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2023
Materias:
Life Sciences–Mathematics interface
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9874266/
https://www.ncbi.nlm.nih.gov/pubmed/36695018
http://dx.doi.org/10.1098/rsif.2022.0659

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9874266/
https://www.ncbi.nlm.nih.gov/pubmed/36695018
http://dx.doi.org/10.1098/rsif.2022.0659

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