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Optimal long-run control of endemic infections: bang-bang threshold policies in a stochastic SIS model
We study long-run optimal intervention strategies for endemic infections in a stochastic susceptible-infected-susceptible (SIS) model. The proportion of infected individuals evolves as a diffusion process with random fluctuations, while a control variable $ζ_t\in[0,\tildeζ_{max}]$ represents the int
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