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Aggregating human judgment probabilistic predictions of COVID-19 transmission, burden, and preventative measures

Aggregated human judgment forecasts for COVID-19 targets of public health importance are accurate, often outperforming computational models. Our work shows aggregated human judgment forecasts for infectious agents are timely, accurate, and adaptable, and can be used as tool to aid public health deci...

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Detalles Bibliográficos
Autores principales: Codi, Allison, Luk, Damon, Braun, David, Cambeiro, Juan, Besiroglu, Tamay, Chen, Eva, de Cèsaris, Luis Enrique Urtubey, Bocchini, Paolo, McAndrew, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cornell University 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9016644/
https://www.ncbi.nlm.nih.gov/pubmed/35441083

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