| Abstract | One potentially valuable contribution of mathematical analysis to epidemiology is the characterization of the costs of infectious diseases to people and communities. In many situations, the costs align, so that what's good for individual patients is also good for the communities, but in some cases, these costs diverge, creating dilemmas for policy and practice. Mathematical models, particularly those based on game-theory, can help us understand these problems. In this talk, I'll summarize some recent results including models of ``policy failure'' and the calculation of trembling-hand perfect equilibria as they apply to epidemiology. |
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