This paper is in the following e-collection/theme issue:

Presentations, Abstracts, or Demonstrations (740) Surveillance Methods in Population and Public Health (105) Public Health Data Analytics (72)

Published on in Vol 5, No 1 (2013):

Fast Multidimensional Subset Scan for Outbreak Detection and Characterization

Fast Multidimensional Subset Scan for Outbreak Detection and Characterization

Fast Multidimensional Subset Scan for Outbreak Detection and Characterization

Authors of this article:

Daniel B. Neill1 ;   Tarun Kumar1
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    Multidimensional Subset Scan (MD-Scan) is a new method for early outbreak detection and characterization using multivariate case data from individuals in a population. MD-Scan extends previous work on multivariate event detection by identifying the characteristics of the affected subpopulation (e.g. affected gender(s), age groups, and behavioral risk factors), and enables more timely and more accurate detection while maintaining computational tractability.