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

Authors

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

DOI:

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

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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Published

2015-02-26

How to Cite

Morbey, R., Hughes, H., Elliot, A., Verlander, N., Andrews, N., Charlett, A., & Smith, G. (2015). The Application of a Novel Statistical Method for Syndromic Surveillance in England. Online Journal of Public Health Informatics, 7(1). https://doi.org/10.5210/ojphi.v7i1.5814

Issue

Vol. 7 No. 1 (2015)

Section

Poster Presentations

License

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