Date: Friday, March 22, 2013
Location: 1084 East Hall (3:00 PM to 4:00 PM)
Title: Using mathematics to explain and forecast infectious disease dynamics
Abstract: Stochastic dynamical systems are extremely useful as concise expressions of biological hypotheses. When long time series data are available, they can be used to evaluate these hypotheses, but doing so rigorously is a hard mathematical problem. I'll describe recent work showing how this problem can be effectively solved and highlight some results that change our understanding of the basic ecology of cholera. I'll also present some work demonstrating how stochastic dynamical systems models can be used to provide effective forecasts of severe cholera outbreaks.
Speaker: Aaron King
Institution: Ecology and Evolutionary Biology, University of Michigan
Event Organizer: Peter Miller millerpd@umich.edu
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