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Real-time monitoring of COVID-19 dynamics using automated trend fitting and anomaly detection
As several countries gradually release social distancing measures, rapid detection of new localized COVID-19 hotspots and subsequent intervention will be key to avoiding large-scale resurgence of transmission. We introduce ASMODEE (automatic selection of models and outlier detection for epidemics),...
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| Publicat a: | Philos Trans R Soc Lond B Biol Sci |
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| Autors principals: | , , , , , , , , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
The Royal Society
2021
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8165581/ https://ncbi.nlm.nih.gov/pubmed/34053271 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rstb.2020.0266 |
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