The application of a novel ‘rising activity, multi-level mixed effects, indicator emphasis’ (RAMMIE) method for syndromic surveillance in England | Zendy

Roger Morbey | Zendy; Alex J. Elliot | Zendy; André Charlett | Zendy; Neville Q. Verlander | Zendy; Nick Andrews | Zendy; Gillian Smith | Zendy

Open Access

The application of a novel ‘rising activity, multi-level mixed effects, indicator emphasis’ (RAMMIE) method for syndromic surveillance in England

Author(s) -

Roger Morbey,

Alex J. Elliot,

André Charlett,

Neville Q. Verlander,

Nick Andrews,

Gillian Smith

Publication year - 2015

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btv418

Subject(s) - prioritization , computer science , baseline (sea) , identification (biology) , public health , new england , action (physics) , data mining , sensitivity (control systems) , interpretation (philosophy) , medicine , process management , business , engineering , political science , nursing , botany , physics , quantum mechanics , politics , law , biology , electronic engineering , programming language

Syndromic surveillance is the real-time collection and interpretation of data to allow the early identification of public health threats and their impact, enabling public health action. The 'rising activity, multi-level mixed effects, indicator emphasis' method was developed to provide a single robust method enabling detection of unusual activity across a wide range of syndromes, nationally and locally.

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