O'Connor MJ, Buckeridge DL, Choy M, Crubezy M, Pincus Z, et al.
BioSTORM: A system for automated surveillance of diverse data sources
AMIA Annual Symposium Proceedings
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).