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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...
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| Publicado no: | Int J Forecast |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
International Institute of Forecasters. Published by Elsevier B.V.
2022
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7447267/ https://ncbi.nlm.nih.gov/pubmed/32863495 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ijforecast.2020.08.004 |
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