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Dynamics of an SAITS alcoholism model on unweighted and weighted networks

机译:塞茨酗酒模型对未加权和加权网络的动态

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摘要

A novel SAITS alcoholism model on networks is introduced, in which alcoholics are divided into light problem alcoholics and heavy problem alcoholics. Susceptible individuals can enter into the compartment of heavy problem alcoholics directly by contacting with light problem alcoholics or heavy problem alcoholics and the heavy problem alcoholics who receive treatment can relapse into the compartment of heavy problem alcoholics are also considered. First, the dynamics of our model on unweighted networks, including the basic reproduction number, existence and stability of equilibria are studied. Second, the models with fixed weighted and adaptive weighted networks are introduced and investigated. At last, some simulations are presented to illustrate and extend our results. Our results show that it is very important to treat alcoholics to quit the drinking. (C) 2018 Elsevier B.V. All rights reserved.
机译:介绍了一部小型开启网络的酗酒模型,其中酗酒者分为光线问题酗酒者和沉重的问题酗酒者。 易受敏感的个人可以直接通过与光问题的酗酒者直接进入沉重的问题酗酒者的隔间,并且还考虑了接受治疗的沉重问题酗酒者,也考虑了酗酒者的沉重问题酗酒者。 首先,研究了我们在未加权网络上的模型的动态,包括基本再现数,存在和均衡的稳定性。 其次,引入并研究了具有固定加权和自适应加权网络的模型。 最后,提出了一些模拟来说明和扩展我们的结果。 我们的研究结果表明,治疗酗酒者以退出饮酒非常重要。 (c)2018年elestvier b.v.保留所有权利。

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