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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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TITLE: Likelihood Ratio Methods for Outbreak Detection in Spatial and Spatiotemporal Surveillance
SPEAKER: Prof. Kwok Tsui
ABSTRACT:
For public health surveillance, timely detection of a rate increase in disease incidence is very important. This talks reviews some popular methods for temporal surveillance and proposes a general framework for spatial and spatiotemporal surveillance based onlikelihood ratio statistics over windows of tests. We show that the CUSUM and other popular likelihood ratio statistics are special cases under such a general framework. We compare the efficiency of these surveillance methods in spatial and spatiotemporal cases for detecting clusters of incidence using both Monte Carlo simulations and a real example. We will also discuss the generalization of weighted likelihood ratio tests for detecting different shift magnitudes under homogeneous and non-homogeneous populations.
