Publications
Publications
- Emerging Health Threats Journal
Fast Subset Scan for Multivariate Spatial Biosurveillance
By: Daniel B. Neill, Edward McFowland III and Huanian Zheng
Abstract
We extend the recently proposed ‘fast subset scan’ framework from univariate to multivariate data, enabling computationally efficient detection of irregular space-time clusters even when the numbers of spatial locations and data streams are large. These fast algorithms enable us to perform a detailed empirical comparison of two variants of the multivariate spatial scan statistic, demonstrating the tradeoffs between detection power and characterization accuracy.
Citation
Neill, Daniel B., Edward McFowland III, and Huanian Zheng. "Fast Subset Scan for Multivariate Spatial Biosurveillance." Emerging Health Threats Journal 4, Suppl. 1, no. s42 (2011).