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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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Dades bibliogràfiques
Publicat a:Philos Trans R Soc Lond B Biol Sci
Autors principals: 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
Format: Artigo
Idioma:Inglês
Publicat: The Royal Society 2021
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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