Real-time monitoring of COVID-19 dynamics using automated trend fitting and anomaly detection.

Jombart, Thibaut; Ghozzi, Stéphane; Schumacher, Dirk; Taylor, Timothy J; Leclerc, Quentin J; Jit, Mark; Flasche, Stefan; Greaves, Felix; Ward, Tom; Eggo, Rosalind M; +7 more... Nightingale, Emily; Meakin, Sophie; Brady, Oliver J; Centre for Mathematical Modelling of Infectious Diseases COVID-1; Medley, Graham F; Höhle, Michael; Edmunds, W John; Centre for Mathematical Modelling; (2021) Real-time monitoring of COVID-19 dynamics using automated trend fitting and anomaly detection. Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 376 (1829). 20200266-. ISSN 0962-8436 DOI: https://doi.org/10.1098/rstb.2020.0266

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