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PNAS | April 16, 2002 | vol. 99 | no. 8 | 5237-5240

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Statistics
Early statistical detection of anthrax outbreaks by tracking over-the-counter medication sales

(biosurveillance|time series analysis|grocery data)

Anna Goldenberg*, Galit Shmueli*,dagger , Richard A. Caruana*, and Stephen E. Fienberg*,dagger ,Dagger

* Center for Automated Learning and Discovery and dagger  Department of Statistics, Carnegie Mellon University, Pittsburgh, PA 15213-3890

Contributed by Stephen E. Fienberg, February 27, 2002

The recent series of anthrax attacks has reinforced the importance of biosurveillance systems for the timely detection of epidemics. This paper describes a statistical framework for monitoring grocery data to detect a large-scale but localized bioterrorism attack. Our system illustrates the potential of data sources that may be more timely than traditional medical and public health data. The system includes several layers, each customized to grocery data and tuned to finding footprints of an epidemic. We also propose an evaluation methodology that is suitable in the absence of data on large-scale bioterrorist attacks and disease outbreaks.


Dagger To whom reprint requests should be addressed. E-mail: fienberg{at}stat.cmu.edu.

www.pnas.org/cgi/doi/10.1073/pnas.042117499
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