Agents of change Wildlife disease investigations using individual-based models

Abstract

Wildlife disease systems are inherently complex, and our understanding of such systems is fraught with uncertainties. An effective approach to addressing uncertainties while dealing with such complex systems is through the integration of formal models with management and related policy decision making. Using examples from my ongoing research, I will discuss how virtual explorations using pragmatic agent-based models can enhance scientific understanding of complex wildlife disease systems. I will also discuss how model-based explorations can be used for evaluating management interventions, thereby informing the design of rational and defensible disease management strategies.

Aniruddha Belsare

Assistant Professor of Disease Ecology

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