Clinical effects of 2-DG drug restraining SARS-CoV-2 infection: A fractional order optimal control study

IF 1.8 4区生物学 Q3 BIOPHYSICS

Journal of Biological Physics Pub Date : 2022-12-02 DOI:10.1007/s10867-022-09617-9

Piu Samui, Jayanta Mondal, Bashir Ahmad, Amar Nath Chatterjee

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引用次数: 3

Abstract

Fractional calculus is very convenient tool in modeling of an emergent infectious disease system comprising previous disease states, memory of disease patterns, profile of genetic variation etc. Significant complex behaviors of a disease system could be calibrated in a proficient manner through fractional order derivatives making the disease system more realistic than integer order model. In this study, a fractional order differential equation model is developed in micro level to gain perceptions regarding the effects of host immunological memory in dynamics of SARS-CoV-2 infection. Additionally, the possible optimal control of the infection with the help of an antiviral drug, viz. 2-DG, has been exemplified here. The fractional order optimal control would enable to employ the proper administration of the drug minimizing its systematic cost which will assist the health policy makers in generating better therapeutic measures against SARS-CoV-2 infection. Numerical simulations have advantages to visualize the dynamical effects of the immunological memory and optimal control inputs in the epidemic system.

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2-DG药物抑制SARS-CoV-2感染的临床效果:分数阶最优对照研究

分数阶微积分是一种非常方便的工具，可以用来模拟突发传染病系统，该系统包括以前的疾病状态、疾病模式记忆、遗传变异谱等。通过分数阶导数可以熟练地校准疾病系统的重要复杂行为，使疾病系统比整数阶模型更真实。在本研究中，建立了微观水平的分数阶微分方程模型，以了解宿主免疫记忆在SARS-CoV-2感染动力学中的作用。此外，在抗病毒药物(即2-DG)的帮助下，对感染的可能的最佳控制已在这里举例说明。分数阶最优控制将使适当的药物管理最小化其系统成本，这将有助于卫生政策制定者制定更好的治疗SARS-CoV-2感染的措施。数值模拟有利于可视化疫情系统中免疫记忆和最优控制输入的动态效应。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Biological Physics 生物-生物物理

CiteScore

3.00

自引率

5.60%

发文量

审稿时长

>12 weeks

期刊介绍： Many physicists are turning their attention to domains that were not traditionally part of physics and are applying the sophisticated tools of theoretical, computational and experimental physics to investigate biological processes, systems and materials. The Journal of Biological Physics provides a medium where this growing community of scientists can publish its results and discuss its aims and methods. It welcomes papers which use the tools of physics in an innovative way to study biological problems, as well as research aimed at providing a better understanding of the physical principles underlying biological processes.