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Forecasting Multi-Wave Epidemics Through Bayesian Inference
We present a simple, near-real-time Bayesian method to infer and forecast a multiwave outbreak, and demonstrate it on the COVID-19 pandemic. The approach uses timely epidemiological data that has been widely available for COVID-19. It provides short-term forecasts of the outbreak’s evolution, which...
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| Gepubliceerd in: | Arch Comput Methods Eng |
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| Hoofdauteurs: | , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Springer Netherlands
2021
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8317486/ https://ncbi.nlm.nih.gov/pubmed/34335019 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11831-021-09603-9 |
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