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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),...
Autores principales: | Jombart, Thibaut, Ghozzi, Stéphane, Schumacher, Dirk, Taylor, Timothy J., Leclerc, Quentin J., Jit, Mark, Flasche, Stefan, Greaves, Felix, Ward, Tom, Eggo, Rosalind M., Nightingale, Emily, Meakin, Sophie, Brady, Oliver J., Medley, Graham F., Höhle, Michael, Edmunds, W. John |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165581/ https://www.ncbi.nlm.nih.gov/pubmed/34053271 http://dx.doi.org/10.1098/rstb.2020.0266 |
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