Optimal control strategy of Rotavirus Disease for a Discrete Time SIRSE Model
Abstract
In this paper, we examine the optimal control strategy of an SIRSE (Susceptible Infected
Recovered - Susceptible - Environment) model with discrete time. With an objective to reduce
the number of infected individuals and the associated cost involved. We analyze the conditions
for optimality using the optimal control theory and Pontryagins maximum principle in discrete
time. The numerical simulation is carried out using MATLAB, solving the fourth order Runge-
Kutta Scheme. Results obtained confirm that multiple control strategies are more effective in the
controlling of rotavirus disease.
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- SIMC 2019 [99]