Unraveling the importance of early awareness strategy on the dynamics of drug addiction using mathematical modeling approach.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
James Andrawus, Aliyu Iliyasu Muhammad, Ballah Akawu Denue, Habu Abdul, Abdullahi Yusuf, Soheil Salahshour
{"title":"Unraveling the importance of early awareness strategy on the dynamics of drug addiction using mathematical modeling approach.","authors":"James Andrawus, Aliyu Iliyasu Muhammad, Ballah Akawu Denue, Habu Abdul, Abdullahi Yusuf, Soheil Salahshour","doi":"10.1063/5.0203892","DOIUrl":null,"url":null,"abstract":"<p><p>A drug is any substance capable of altering the functioning of a person's body and mind. In this paper, a deterministic nonlinear model was adapted to investigate the behavior of drug abuse and addiction that incorporates intervention in the form of awareness and rehabilitation. In the mathematical analysis part, the positivity and boundedness of the solution and the existence of drug equilibria have been ascertained, which shows that the model consists of two equilibria: a drug-free equilibrium and a drug endemic equilibrium point. The drug-free equilibrium was found to be both globally and locally asymptotically stable if the effective reproduction number is less than or equal to one (Rc≤1). Furthermore, we were able to show the existence of a unique drug endemic equilibrium whenever Rc>1. Global asymptotic stability of a drug endemic equilibrium point has been ascertained using a nonlinear Lyapunov function of Go-Volterra type, which reveals that the drug endemic equilibrium point is globally asymptotically stable if an effective reproduction number is greater than unity and if there is an absence of a reversion rate of mended individuals (i.e., ω=0). In addition, an optimal control problem was formulated to investigate the optimal strategy for curtailing the spread of the behavior using control variables. The control variables are massive awareness and rehabilitation intervention of both public and secret addicted individuals. The optimal control simulation shows that massive awareness control is the best to control drug addiction in a society. In sensitivity analysis section, the proportion of those who are exposed publicly shows to be a must sensitive parameter that can reduce the reproduction number, and the effective contact rate shows to be a must sensitive parameter to increase the reproduction number. Numerical simulations reveal that the awareness rate of exposed publicly and the rehabilitation rate of addicted publicly are very important parameters to control drug addiction in a society.</p>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1063/5.0203892","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0

Abstract

A drug is any substance capable of altering the functioning of a person's body and mind. In this paper, a deterministic nonlinear model was adapted to investigate the behavior of drug abuse and addiction that incorporates intervention in the form of awareness and rehabilitation. In the mathematical analysis part, the positivity and boundedness of the solution and the existence of drug equilibria have been ascertained, which shows that the model consists of two equilibria: a drug-free equilibrium and a drug endemic equilibrium point. The drug-free equilibrium was found to be both globally and locally asymptotically stable if the effective reproduction number is less than or equal to one (Rc≤1). Furthermore, we were able to show the existence of a unique drug endemic equilibrium whenever Rc>1. Global asymptotic stability of a drug endemic equilibrium point has been ascertained using a nonlinear Lyapunov function of Go-Volterra type, which reveals that the drug endemic equilibrium point is globally asymptotically stable if an effective reproduction number is greater than unity and if there is an absence of a reversion rate of mended individuals (i.e., ω=0). In addition, an optimal control problem was formulated to investigate the optimal strategy for curtailing the spread of the behavior using control variables. The control variables are massive awareness and rehabilitation intervention of both public and secret addicted individuals. The optimal control simulation shows that massive awareness control is the best to control drug addiction in a society. In sensitivity analysis section, the proportion of those who are exposed publicly shows to be a must sensitive parameter that can reduce the reproduction number, and the effective contact rate shows to be a must sensitive parameter to increase the reproduction number. Numerical simulations reveal that the awareness rate of exposed publicly and the rehabilitation rate of addicted publicly are very important parameters to control drug addiction in a society.

利用数学建模方法揭示早期认知策略对吸毒上瘾动态的重要性。
毒品是能够改变人的身体和精神功能的任何物质。本文采用了一个确定性非线性模型来研究药物滥用和成瘾的行为,并结合了宣传和康复形式的干预措施。在数学分析部分,确定了解的实在性和有界性以及毒品平衡点的存在,这表明该模型由两个平衡点组成:无毒品平衡点和毒品流行平衡点。研究发现,如果有效繁殖数小于或等于 1(Rc≤1),无药物平衡点在全局和局部上都是渐近稳定的。此外,我们还证明了当 Rc>1 时存在唯一的药物流行平衡。利用 Go-Volterra 型非线性 Lyapunov 函数确定了药物流行平衡点的全局渐近稳定性,结果表明,如果有效繁殖数大于一,且不存在亡羊补牢的个体回归率(即 ω=0),则药物流行平衡点是全局渐近稳定的。此外,还提出了一个最优控制问题,以研究利用控制变量遏制该行为蔓延的最优策略。控制变量是对公开和秘密上瘾者的大规模宣传和康复干预。最优控制模拟结果表明,大规模宣传控制是控制社会中吸毒现象的最佳方法。在敏感性分析部分,公开接触者的比例是一个必须敏感的参数,可以减少繁殖数量,而有效接触率则是一个必须敏感的参数,可以增加繁殖数量。数值模拟显示,公开暴露者的知晓率和公开成瘾者的康复率是控制社会中吸毒成瘾现象的非常重要的参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信