Forecasting for COVID-19 has failed

Epidemic forecasting has a dubious track-record, and its failures became more prominent with COVID-19. Poor data input, wrong modeling assumptions, high sensitivity of estimates, lack of incorporation of epidemiological features, poor past evidence on effects of available interventions, lack of tran...

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Detalles Bibliográficos
Autores principales: Ioannidis, John P.A., Cripps, Sally, Tanner, Martin A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Institute of Forecasters. Published by Elsevier B.V. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7447267/
https://www.ncbi.nlm.nih.gov/pubmed/32863495
http://dx.doi.org/10.1016/j.ijforecast.2020.08.004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7447267/
https://www.ncbi.nlm.nih.gov/pubmed/32863495
http://dx.doi.org/10.1016/j.ijforecast.2020.08.004

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