The Application of a Novel Statistical Method for Syndromic Surveillance in England

Roger Morbey, Helen Hughes, Alex Elliot, Neville Verlander, Nick Andrews, Andre Charlett, Gillian Smith

Abstract


This paper describes the design and application of a new statistical method for real-time syndromic surveillance, used by Public Health England. The Rising Activity, Multi-level Mixed effects, Indicator Emphasis (RAMMIE) statistical method was developed and tested alongside existing methods before being applied to a suite of syndromic surveillance in operation in England. The RAMMIE method has proved to be a reliable, effective method for generating automated alarms for syndromic surveillance. The multi-level models have enabled local models to be created for the first time across all systems and models have proved themselves to be robust across all the signals.


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DOI: https://doi.org/10.5210/ojphi.v7i1.5814



Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org