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Automated Detection Of Infectious Disease Outbreaks In Hospitals: A Retrospective Cohort Study, Susan S. Huang, Deborah S. Yokoe, John Stelling, Hilary Placzek, Martin Kulldorff, Ken Kleinman, Thomas F. O'Brien, Michael S. Calderwood, Johanna Vostok, Julie Dunn, Richard Platt

Public Health Department Faculty Publication Series

BACKGROUND:

Detection of outbreaks of hospital-acquired infections is often based on simple rules, such as the occurrence of three new cases of a single pathogen in two weeks on the same ward. These rules typically focus on only a few pathogens, and they do not account for the pathogens' underlying prevalence, the normal random variation in rates, and clusters that may occur beyond a single ward, such as those associated with specialty services. Ideally, outbreak detection programs should evaluate many pathogens, using a wide array of data sources.

METHODS AND FINDINGS:

We applied a space-time permutation scan statistic to microbiology …