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HBOK 1-025

Title Statistical Challenges Facing Early Outbreak Detection in Biosurveillance
Author(s) Galit Shmueli and Howard Burkom
Source Technometrics
Topic Performance Measurement

Data Analysis

Knowledge Management

Abstract Biosurveillance, the practice of monitoring data to detect and respond to disease outbreaks, has borrowed some of the tools used in classical disease surveillance, but the new types of data, processes, and applications encountered vary from the setting for which these tools were originally intended. Other challenges include multiple dimensions, performance evaluation, and system usage and requirements. The focus of this study is on monitoring time series to provide early alerts of anomalies indicating potential outbreaks. A brief summary is given of methods used to detect spatial and spatiotemporal case clusters. In addition, recent biosurveillance literature is surveyed.
Access Restrictions ASQ members and journal subscribers
Link for .PDF http://www.asq.org/technometrics/2010/02/statistics/statistical-challenges-facing-early-outbreak-detection-in-biosurveillance.pdf
Link for HTML None
Reference Code 1-025

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