Abstract #301830

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JSM 2003 Abstract #301830
Activity Number: 308
Type: Invited
Date/Time: Wednesday, August 6, 2003 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Epidemiology
Abstract - #301830
Title: Data Features Impacting Detection of Disease Clusters
Author(s): Lance A. Waller*+
Companies: Emory University
Address: Dept. of Biostatistics, Atlanta, GA, 30322-0001,
Keywords: spatial statistics ; epidemiology ; bioterrorism ; surveillance
Abstract:

There is increasing interest in automated surveillance of disease data with the goal of detecting emergent trends and/or localized outbreaks of disease (or other health events), particularly with respect to early detection of a potential bioterrorism event. We review some typical aspects of health surveillance data and illustrate some impacts of these features on statistical tests to detect data anomolies. Specifically, we use simulation to assess power of statistical tests to detect disease "clusters" illustrating resultant impacts of data aggregation, population heterogeneity, and severity of impact.

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