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 -
Using real-time syndromic surveillance to monitor the health effects of air pollution
Content Type: Abstract
The negative effect of air pollution on human health is well documented illustrating increased risk of respiratory, cardiac and other health conditions. Currently, during air pollution episodes Public Health England (PHE) syndromic surveillance… read more