Date and LocationFriday June 02, 2017 8:00am to 9:00am
Infectious diseases can be viewed as complex spatio-temporal systems that can be controlled and ultimately eradicated by human interventions. Interventions actuate changes through policy and implementation changes that promote treatment and prevention and long-term investment strategy determines the tools that will become available. Considering the magnitude of these decisions, in terms of lives saved and expense, computational epidemiology has emerged as a useful tool for adding quantitative rigor and robustness. This talk will provide an introduction to epidemiological modeling methods, highlight some recent results from the Institute for Disease Modeling, and conclude with iterative algorithms for model optimization and fitting.