This paper is in the following e-collection/theme issue:

Surveillance Methods in Population and Public Health (113)

Published on in Vol 10, No 1 (2018):

Comparison of statistical algorithms for syndromic surveillance aberration detection

Comparison of statistical algorithms for syndromic surveillance aberration detection

Comparison of statistical algorithms for syndromic surveillance aberration detection

Authors of this article:

R. Morbey1 ;   A. Noufaily2 ;   F. D. Colón-González3 ;   A. Elliot4 ;   S. Harcourt4 ;   G. Smith4
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  1. Jombart T, Ghozzi S, Schumacher D, Taylor T, Leclerc Q, Jit M, Flasche S, Greaves F, Ward T, Eggo R, Nightingale E, Meakin S, Brady O, Medley G, Höhle M, Edmunds W. Real-time monitoring of COVID-19 dynamics using automated trend fitting and anomaly detection. Philosophical Transactions of the Royal Society B: Biological Sciences 2021;376(1829) View