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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
International Institute of Forecasters. Published by Elsevier B.V.
2022
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| Materias: | |
| 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 |