Applications of Stochastic Near-Optimal Control to Epidemiology

Explore a presentation on applying stochastic near-optimal control to epidemiology, focusing on treatment approaches for infectious diseases with relapse. Delve into the development of a stochastic optimization model that addresses state budget deficits during pandemics. Learn about the use of the maximum condition on the Hamiltonian function and the Ekeland principle to derive a priori estimations of optimal control. Discover the sufficient and necessary conditions for the treatment problem in a stochastic epidemic model, providing valuable insights for managing infectious disease outbreaks and their economic impacts.

Idriss Sekkak: Applications of stochastic near-optimal control to epidemiology