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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… variable results even under identical initial conditions. Due to their ability to mimic a wide range outcomes and more … results even under identi- cal initial conditions. Due to their ability to mimic a wide range outcomes and more … The individuals, locations, and activity patterns are all based on data collected from the real world and are … -
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… and complete history of disease progression for all individuals in the population; those who are in a … the different surveillance systems. Increased coverage did not linearly improve detection probability for all … systems with uniform coverage of the population did not perform better than one based on a real-world system … -
in silico Surveillance: Informing Surveillance with Simulation
Content Type: Webinar
Simulations of infectious disease spread have increasingly been used to inform public policy for planning and response to outbreaks. As these techniques have increased in sophistication a wider array of uses becomes appropriate. In particular,… read more… Research Committee Please use #inSilicoSurveillance in all webinar-related Tweets. Document … ‣ Model building provides a structure for laying out all assumptions and known information ‣ Even if not 100% … or specificity or “type” of outbreak Role of Simulation !26 10 0 20 0 30 0 40 0 50 0 Simulated ILI Surveillance Date …