We present results from two recent mathematical biology studies that address the effect of risk-taking behavior on epidemic models. We show that when risk-taking prevails over riskavoidance, it is possible to show a detrimental and counterintuitive effect from increasing vaccination and treatment rates over certain critical time intervals. In addition, when risk-taking has a cumulative effect within the population, a lower transmission rate from diagnosed infected individuals may prevent the intended effect of vaccination.

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