Investigating complex host-pathogen systems using pragmatic agent-based models

Abstract

Agent-based modeling is a computational method that is widely used to understand complex systems. The use and ubiquity of agent-based models is especially growing in fields like population health science and epidemiology. Belsare will discuss how an agent-based modeling approach can be used to investigate disease dynamics in wildlife and/or synanthropic host populations. He will also discuss the use of simulation modeling to ‘test drive’ disease management interventions and determine their effectivity.

Aniruddha Belsare

Assistant Professor of Disease Ecology

My research interests include wildlife disease ecology, disease modeling and wildlife medicine.