Displaying results 1 - 3 of 3
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Statistical Models for Biosurveillance of Multiple Organisms
Content Type: Abstract
There has been much research on statistical methods of prospective outbreak detection that are aimed at identifying unusual clusters of one syndrome or disease, and some work on multivariate surveillance methods. In England and Wales, automated… read more -
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 -
An Improved Algorithm for Outbreak Detection in Multiple Surveillance Systems
Content Type: Abstract
There has been much interest in the use of statistical surveillance systems over the last decade, prompted by concerns over bio-terrorism, the emergence of new pathogens such as SARS and swine flu, and the persistent public health problems of… read more