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(biosurveillance|time series analysis|grocery data)
* Center for Automated Learning and Discovery and
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.
Statistics
Early statistical detection of anthrax outbreaks by tracking
over-the-counter medication sales
,
,
Department of Statistics, Carnegie Mellon University,
Pittsburgh, PA 15213-3890
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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