Mathematical Model of the Number of Smokers Influenced by Migration Factors with Quadratic Root Dynamics in Relapse Conditions

Tria Agus Krisan, M. Rosha
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Abstract

Smoking is a habit that some people likes, but it causes health, economic, social, and environmental burdens not only for smokers but also for others. This study describes a mathematical model of the number of smokers which is influenced by the distribution factor of smokers using the dynamics of the square root in the relapse condition. The population was divided into three subpopulations, namely potential smokers, light smokers and heavy smokers. Based on the results of model analysis, it was found that one endemic equilibrium point of smokers was stable. Environmental influences make there always interactions between potential smokers and light smokers so that there are always smokers. The smaller the interaction between potential smokers and light smokers, the smaller the number of light smokers and heavy smokers.
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复吸条件下吸烟人数受迁移因素影响的二次根动力学数学模型
吸烟是一些人喜欢的习惯,但它不仅给吸烟者,也给其他人带来健康、经济、社会和环境负担。本文利用平方根动力学描述了复吸条件下吸烟者数量受吸烟者分布因子影响的数学模型。人群被分为三个亚群,即潜在吸烟者、轻度吸烟者和重度吸烟者。根据模型分析结果,发现吸烟者有一个地方性平衡点是稳定的。环境的影响使得潜在吸烟者和轻度吸烟者之间总是有相互作用,所以总是有吸烟者。潜在吸烟者和轻度吸烟者之间的相互作用越小,轻度吸烟者和重度吸烟者的人数就越少。
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