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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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2021
Materias:
Articles
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

Internet

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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