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, surveillance system design, evaluation, and interpretation can be greatly aided by simulation. This presentation will describe a style of highly detailed agent-based simulation and a synthetic information analysis platform that is well equipped for these tasks. Additionally, several case studies will be presented to demonstrate and hopefully inspire novel uses of this framework.
Presenter
Bryan Lewis, Research Associate, Virginia Bioinformatics Institute, Virginia Tech
Learning Objectives
- Differentiate agent-based simulations and compartmental approaches and their relative merits and limitations.
- Learn the benefits of synthetic informatics approaches to public health problems.
- Design an in silico experiment to address a problem of relevance to one's own area of expertise.
Date and Time
Tuesday, November 12, 2013 - 1:00 PM - 2:00 PM ET
Host
ISDS Research Committee
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