A software tool for creating simulated outbreaks to benchmark surveillance systems

Background: Evaluating surveillance systems for the early detection of bioterrorism is particularly challenging when systems are designed to detect events for which there are few or no historical examples. One approach to benchmarking outbreak detection performance is to create semi-synthetic datase...

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Bibliographic Details
Main Authors: Cassa, Christopher A. (Contributor), Iancu, Karin (Contributor), Olson, Karen L. (Author), Mandl, Kenneth D. (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Civil and Environmental Engineering (Contributor)
Format: Article
Language:English
Published: BioMed Central Ltd, 2010-09-24T17:14:17Z.
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