Over the last 50 years, mathematical biologists have developed broad and powerful biology-based theories of infectious disease dynamics. But as we transition from growth-reliant to sustainable economies, health problems are becoming as much economic, demographic, and social as epidemiological and scientific. In recent years, innovative modelling approaches incorporating social networks, game theory, information propagation, and agent-based simulation have been proposed to represent the extra-biological factors interacting with the biology of disease transmission. In this talk, I will review some of the recent research exploring behavioral aspects of infectious disease management, with particular emphasis on the use population games to merge epidemiology with economics. The resulting models provide predictions of when intervention scenarios will precipitate policy-resisting and policy-reinforcing responses from the public.
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