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在酗酒情况下对 HCV 传播的最优控制。

Optimal control of HCV transmission under liquoring.

机构信息

Department of Mathematics, Gujarat University, Ahmedabad 38009, Gujarat, India.

Department of Mathematics, Columbus State University, Columbus, GA, USA.

出版信息

J Theor Biol. 2019 Mar 21;465:27-33. doi: 10.1016/j.jtbi.2019.01.004. Epub 2019 Jan 5.

Abstract

Chronic hepatitis C virus (HCV) and alcohol are common causes of chronic liver diseases and both are recognized as major causes of liver disease worldwide. Each poses a major public and economic burden to society, and when the two co-exist they appear to have a synergistic effect in the progression of chronic liver disease. In this research, we developed a SIRS model of transmission of the hepatitis C virus (HCV) under effect of liquoring in six compartments: Susceptible, Low liquoring, High liquoring, Acute, Chronic and Recovered Individuals. The system of non-linear ordinary differential equations is formulated. Basic reproduction number R is computed using the next generation matrix approach. The stability of the model is worked out at the equilibrium point. Model analysis shows that the disease-free equilibrium point is both locally and globally asymptotically stable. Sensitivity analysis with respect to key parameters of R indicates that control strategies should target reduction of the amount of alcohol use amongst people with HCV as it prevents or delays HCV disease progression. The control in our model is in terms of rehabilitation center which helps people to divert from high liquoring to low liquoring. Numerical simulation has been carried out to show the impact of control on different compartment. This research shows the positive impact of rehabilitation on liquoring habits and subsequently on HCV transmission.

摘要

慢性丙型肝炎病毒(HCV)和酒精是慢性肝病的常见病因,两者均被认为是全球范围内肝病的主要病因。它们都给社会带来了巨大的公共和经济负担,当两者共存时,它们似乎在慢性肝病的进展中具有协同作用。在这项研究中,我们在六个隔室中建立了一个在酗酒影响下丙型肝炎病毒(HCV)传播的 SIRS 模型:易感者、轻度酗酒者、重度酗酒者、急性、慢性和康复个体。建立了非线性常微分方程系统。使用下一代矩阵方法计算基本再生数 R。在平衡点处计算模型的稳定性。模型分析表明,无病平衡点在局部和全局上都是渐近稳定的。对 R 的关键参数进行敏感性分析表明,控制策略应该针对减少 HCV 感染者的饮酒量,因为这可以预防或延缓 HCV 疾病的进展。我们模型中的控制是指康复中心,它可以帮助人们从高度酗酒转向低度酗酒。数值模拟已经进行,以显示控制对不同隔室的影响。这项研究表明,康复对酗酒习惯以及随后对 HCV 传播有积极影响。

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