Abstract
A control scheme for the immunisation of susceptibles in the Kermack-McKendrick epidemic model for a closed population is proposed. The bounded control appears linearly in both dynamics and integral cost functionals and any optimal policies are of the “bang-bang” type. The approach uses Dynamic Programming and Pontryagin's Maximum Principle and allows one, for certain values of the cost and removal rates, to apply necessary and sufficient conditions for optimality and show that a one-switch candidate is the optimal control. In the remaining cases we are still able to show that an optimal control, if it exists, has at most one switch.
Publisher
Cambridge University Press (CUP)
Subject
Applied Mathematics,Statistics and Probability
Reference14 articles.
1. Deterministic and stochastic epidemics in closed populations;Kendall;Proc. Third Berkeley Symp. Math. Statist. Prob.,1956
2. Its first “switch” is at t = 0.
3. A stochastic model for the optimal control of epidemics and pest populations
4. Optimum control of epidemics
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