| Literature DB >> 11959973 |
Anna Goldenberg1, Galit Shmueli, Richard A Caruana, Stephen E Fienberg.
Abstract
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.Entities:
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Year: 2002 PMID: 11959973 PMCID: PMC122753 DOI: 10.1073/pnas.042117499
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205