Displaying results 1 - 3 of 3
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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 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 -
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