Displaying results 1 - 2 of 2
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Comparison of statistical algorithms for syndromic surveillance aberration detection
Content Type: Abstract
Syndromic surveillance involves monitoring big health datasets to provide early warning of threats to public health. Public health authorities use statistical detection algorithms to interrogate these datasets for aberrations that are indicative of… read more -
Updating syndromic surveillance baselines following public health interventions
Content Type: Abstract
Public Health England's syndromic surveillance service monitor presentations for gastrointestinal illness to detect increases in health care seeking behaviour driven by infectious gastrointestinal disease. We use regression models to create… read more