Optimal control of smoking cessation programs for two subclasses of smoker

• Published in: Journal of Mathematics and Computer Science
• Main Author: Herdiana R.; Tjahjana H.; Henindya A.; Latif N.S.A.
• Format: Article
• Language: English
• Published: International Scientific Research Publications 2023
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158125906&doi=10.22436%2fjmcs.031.01.04&partnerID=40&md5=04834761fb15925bc6bade12f8c1ac03

In this paper, we propose a dynamic system model representing the interaction between smokers in mixed populations of beginners and regular/heavy smokers and incorporate a smoking cessation program. Since not all smokers acquire treatments, we divide each subclass, beginners and smokers, into untreated and treated groups. From the mathematical analysis, we obtained the basic reproduction number, which is the condition for the smoking-free and endemic equilibriums. This study focuses on two intervention programs as control variables to reduce the smoking habit of smokers, namely educational campaigns for the subclass of beginners and counselling with nicotine therapy for the second subclass of regular/heavy smokers. The objective of the control strategy is to minimize the number of individuals in both subclasses of smokers and maximize the number of quitters with minimum cost. The existence of a solution to the optimal control problem is derived using Pontryagin’s maximum principle. The numerical simulations are conducted to visualise and confirm the analytical results, which show the effectiveness of the treatments in reducing the number of smokers. Compared to mono-therapy, the combination therapy of educational campaigns and counselling with nicotine replacement is more effective in reducing the number of smokers. ©2023, International Scientific Research Publications. All rights reserved.