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in silico Surveillance: Highly detailed agent-based models for surveillance system evaluation and design
Content Type: Abstract
Modern public health surveillance systems have great potential for improving public health. However, evaluating the performance of surveillance systems is challenging because examples of baseline disease distribution in the population are limited to… read more… in highly detailed synthetic populations can provide unlimited realistic baseline data. Objective To create, … in highly detailed synthetic populations can provide unlimited realistic baseline data. Methods Dynamic social … in highly detailed synthetic populations can provide unlimited realistic baseline data. Objective To create, … -
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 …