Centre for Advanced Mathematics and Physics, National University of Sciences and Technology, Islamabad, Pakistan.
Comput Math Methods Med. 2011;2011:163834. doi: 10.1155/2011/163834. Epub 2011 Feb 15.
We present the optimal campaigns in the smoking dynamics. Assuming that the giving up smoking model is described by the simplified PLSQ (potential-light-smoker-quit smoker) model, we consider two possible control variables in the form of education and treatment campaigns oriented to decrease the attitude towards smoking. In order to do this we minimize the number of light (occasional) and persistent smokers and maximize the number of quit smokers in a community. We first show the existence of an optimal control for the control problem and then derive the optimality system by using the Pontryagin maximum principle. Finally numerical results of real epidemic are presented to show the applicability and efficiency of this approach.
我们提出了吸烟动态中的最佳活动方案。假设戒烟模型由简化的 PLSQ(潜在轻度吸烟者-戒烟者)模型描述,我们考虑了两种可能的控制变量,即通过教育和治疗活动来降低对吸烟的态度。为此,我们在社区中最小化轻度(偶尔)和持续吸烟者的数量,最大化戒烟者的数量。我们首先证明了控制问题的最优控制的存在性,然后使用庞特里亚金极大值原理推导出最优性系统。最后,给出了实际流行病例的数值结果,以展示该方法的适用性和效率。