Optimal Control Approach of Discrete Mathematical Modeling of the Spread of Gaming Disorder in Morocco and Cost-Effectiveness Analysis

Author:

Kada Driss1ORCID,Khajji Bouchaib2ORCID,Balatif Omar3ORCID,Rachik Mostafa2ORCID,Houssine Labriji El1ORCID

Affiliation:

1. Laboratory of Information Technology and Modelling, Department of Mathematics and Computer Science, Faculty of Sciences Ben M’Sik, Hassan II University, Casablanca, Morocco

2. Laboratory of Analysis Modeling and Simulation, Department of Mathematics and Computer Science, Faculty of Sciences Ben M’Sik, Hassan II University, Casablanca, Morocco

3. Laboratory of Dynamical Systems, Department of Mathematics, Faculty of Sciences El Jadida, Chouaib Doukkali University, Mathematical Engineering Team (INMA), El Jadida, Morocco

Abstract

We highlight and study in this paper the phenomenon of the spread of addiction to electronic games, where the addict goes through stages before reaching the degree of addiction. In order to model this phenomenon, we have divided people into four groups, which are potential gamers, engaged gamers, addicted gamers, and gamers who have recovered from addiction. We propose a discrete mathematical model with control strategies using three controls that represent, respectively, u k , which represents awareness of the dangers of electronic games through written and visual media; v k , which represents the effort to direct children and adolescents to educational and entertaining alternative means; and w k , which represents creating rehabilitation centers for addicts to quit electronic game addiction. To characterize optimal controls, we use Pontryagin’s maximum principle and the system of optimality solved by an iterative method. Finally, numerical simulations are presented with and without controls. Using a cost-effectiveness analysis, we will show that the control that represents the creation of rehabilitation centers for gaming addicts is the most cost-effective strategy to control the spread of gaming addiction.

Publisher

Hindawi Limited

Subject

Modeling and Simulation

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