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Human behavioral responses play an important role in the impact of diseaseoutbreaks and yet they are often overlooked in epidemiological models.Understanding to what extent behavioral changes determine the outcome ofspreading epidemics is essential to design effective intervention policies.Here we explore, analytically, the interplay between the personal decision toprotect oneself from infection and the spreading of an epidemic. We do so bycoupling a decision game based on the perceived risk of infection with aSusceptible-Infected-Susceptible model. Interestingly, we find that the simpledecision on whether to protect oneself is enough to modify the course of theepidemics, by generating sustained steady oscillations in the prevalence. Wedeem these oscillations detrimental, and propose two intervention policiesaimed at modifying behavioral patterns to help alleviate them. Surprisingly, wefind that pulsating campaigns, compared to continuous ones, are more effectivein diminishing such oscillations.

Pulsating-campaigns of human prophylaxis driven by risk perception palliate oscillations of direct contact transmitted diseases