抗逆转录病毒治疗(ART)滥用在艾滋病毒/艾滋病治疗动态中的作用的最优控制技术

IF 0.3 Q4 MATHEMATICS
B. Bassey, A. O. Henry
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引用次数: 0

摘要

从使用数学模型对艾滋病毒/艾滋病传播和治疗动态的研究来看,文献综述表明,没有注意到没有准备好接受治疗的屏幕意识感染者的行为态度,艾滋病毒意识感染者开始治疗但被截断后才恢复治疗(治疗滥用),以及接受一致治疗方案的感染者。此外,在非彻底根除致命的hi病毒之后,建议已转向探索最佳控制理论,以最大限度地提高健康未感染CD4 + t细胞的数量。因此,本研究寻求并制定了一个最优控制的6维确定性数学动态模型,该模型考虑了抗逆转录病毒治疗(ART)滥用在艾滋病毒/艾滋病流行治疗动态中的作用。该模型的材料和方法由一组6维变化的亚群与浓缩的hi病毒载量相互作用组成。使用双线性控制函数(避孕套使用和抗逆转录病毒治疗)和经验生成的数据来调查相互作用。该模型采用确定性方法,并使用微分方程的基本理论来表述。理论最优预测以最优控制技术(Pontryagin极大值原理与Hessian矩阵相结合)为基础,探索了经典数值方法。利用内置的精度为4级的龙格库塔在Mathcad曲面上进行了数值模拟。根据导出的非最优控制和初始-最优控制函数、模型最优控制对和模型最优系统的模型,仿真结果表明,在非最优控制函数下,种群灭绝接近于零。从最优控制技术下最优控制函数的应用来看,在最小比例的双线性控制函数下,抗逆转录病毒药物滥用率的降低证明了易感人群的巨大年轻化。该研究得出结论,与非最优控制结果相比,采用最优控制技术来调查抗逆转录病毒药物滥用在艾滋病毒/艾滋病治疗中的作用,可以以最小的系统成本显著恢复健康的CD4 + t细胞。因此,本研究不仅肯定了最优控制策略的重要概念,而且确立了模型的可行性。因此,该模型可广泛应用于生物系统和应用数学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Control Techniques for the Role of Antiretroviral Therapy (ART) Abuse in HIV/AIDS Treatment Dynamics
: From the studies of HIV/AIDS transmission and treatment dynamics using mathematical modeling, literature reviews have shown that attention had not been given to the behavioral attitude of screen-aware infectives not ready to receive treatment, HIV-aware infectives that initiated treatment but truncated only to resume treatment later (therapy abuse) and those on consistent treatment protocols. Moreso, following the non-outright eradication of the deadly HI-virus, recommendations have been geared towards exploring optimal control theory for the maximization of healthy uninfected CD4 + T-cells. Therefore, this present investigation seeks and formulated an optimal control 6-Dimensional deterministic mathematical dynamic model, which accounted for the Role of Antiretroviral Therapy (ART) abuse in the treatment dynamics of the HIV/AIDS epidemic. The materials and methods for this model are constituted by a set of 6-Dimensional varying subpopulations interacting with concentrated HI-viral load. Interactions are investigated using bilinear control functions (condom use and ART) with empirically generated data. The model assumed a deterministic approach and was formulated using the fundamental theory of differential equations. Theoretical optimal predictions explored classical numerical methods with optimal control techniques (Pontryagin's maximum principle in conjunction with Hessian matrix) as a basis. Numerical simulations were conducted using in-built Runge-Kutta of the order of precision 4 in a Mathcad surface. Following the derived model for both off-optimal control and onset-optimal control functions and model optimal control pair as well as model optimality system, results of simulations indicated that at off-optimal control function, near zero population extinction was observed. From the application of optimal control functions under optimal control techniques, there exists tremendous rejuvenation of susceptible populations vindicated by a reduction in the rate of ART abuse under a minimal proportion of bilinear control functions. The study concluded that adopting optimal control techniques for the investigation of the role of ART abuse in HIV/AIDS treatment yield highly significant recovery of healthy CD4 + T-Cells at minimal systemic cost when compared with off-optimal control outcome. Therefore, the study not only affirmed the vital concept of optimal control strategy but also, instituted the viability of the model. Thus, this model can be extensively used in Bio-system and applied mathematics.
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CiteScore
0.70
自引率
33.30%
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