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Scalable Detection of Irregular Disease Clusters Using Soft Compactness Constraints
Content Type: Abstract
The spatial scan statistic [1] detects significant spatial clusters of disease by maximizing a likelihood ratio statistic F(S) over a large set of spatial regions, typically constrained by shape. The fast localized scan [2] enables scalable… read more… J R Stat Soc (Ser B). 2011;to appear. *Skyler Speakman E-mail: skylerspeakman@gmail.com (page number not for citation purpose) Fig. 1. … -
Fast Graph Structure Learning from Unlabeled Data for Outbreak Detection
Content Type: Abstract
Disease surveillance data often has an underlying network structure (e.g. for outbreaks which spread by person-to-person contact). If the underlying graph structure is known, detection methods such as GraphScan (1) can be used to identify an… read more… the time series of observed counts (e.g. daily hospital visits for each zip code). Objective Our goal is to learn … the time series of observed counts (e.g., daily hospital visits for each zip code). Methods Our solution builds on … J R Stat Soc (Ser B). 2011, to appear. *Sriram Somanchi E-mail: somanchi@cmu.edu page number not for citation purpose …