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in silico Surveillance: Using Detailed Computer Simulations to Develop and Evaluate Outbreak Detection
Content Type: Abstract
Developing and evaluating outbreak detection is challenging for many reasons. A central difficulty is that the data the detection algorithms are “trained” on are often relatively short historical samples and thus do not represent the full… read more… algorithms in noisy surveillance data is complicated by a lack of realistic noise, meaning the surveillance data … algorithms in noisy surveillance data is complicated by a lack of realistic noise, meaning the surveillance data … Once developed, the same dearth of historical data com- plicates evaluation. In systems where only a count of …