BioSTORM: a system for automated surveillance of diverse data sources

Heightened concerns about bioterrorism are forcing changes to the traditional biosurveillance-model. Public health departments are under pressure to follow multiple, non-specific, pre-diagnostic indicators, often drawn from many data sources. As a result, there is a need for biosurveillance systems...

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Bibliographic Details
Published in:AMIA ... Annual Symposium proceedings 2003, Vol.2003, p.1071-1071
Main Authors: O'Connor, Martin J, Buckeridge, David L, Choy, Michael, Crubezy, Monica, Pincus, Zachary, Musen, Mark A
Format: Article
Language:English
Subjects:
Bioterrorism
Data Collection
Disease Outbreaks
Humans
Information Systems
Population Surveillance - methods
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Summary:Heightened concerns about bioterrorism are forcing changes to the traditional biosurveillance-model. Public health departments are under pressure to follow multiple, non-specific, pre-diagnostic indicators, often drawn from many data sources. As a result, there is a need for biosurveillance systems that can use a variety of analysis techniques to rapidly integrate and process multiple diverse data feeds using a variety of problem solving techniques to give timely analysis. To meet these requirements, we are developing a new system called BioSTORM (Biological Spatio-Temporal Outbreak Reasoning Module).
ISSN:1559-4076