On a Fractal–Fractional-Based Modeling for Influenza and Its Analytical Results

IF 1.9 3区 数学 Q1 MATHEMATICS Qualitative Theory of Dynamical Systems Pub Date : 2024-01-04 DOI:10.1007/s12346-023-00918-5
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Abstract

There have been reports of influenza virus resistance in the past, and because this virus has the potential of resistance to cause several pandemics and also is lethal, we investigate the conditions under which the strains coexist as a result. The non-resistant strain undergoes mutation, giving rise to the resistant strain. The incidence rates of the non-resistant and saturated-resistant strains are bi-linear and saturated, respectively. In this study, two flu strain models (resistant and non-resistant) are investigated in a fractal–fractional sense, and the presence of solutions, stability, and numerical simulations are examined for various orders and derivative dimensions. Using numerical values from freely accessible open resources, a numerical technique that is based on Lagrange’s interpolation polynomial is constructed and validated for a particular example.

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基于分形-分数的流感模型及其分析结果
摘要 过去曾有关于流感病毒抗药性的报道,由于这种病毒的抗药性有可能导致几次大流行,而且还具有致命性,因此我们研究了毒株共存的条件。非抗性毒株发生变异,产生抗性毒株。非耐药菌株和饱和耐药菌株的发病率分别为双线性和饱和。本研究从分形-分形意义上研究了两种流感应变模型(抗性应变和非抗性应变),并考察了不同阶数和导数维数下的解的存在性、稳定性和数值模拟。利用可免费获取的开放资源中的数值,构建了一种基于拉格朗日插值多项式的数值技术,并对一个特定示例进行了验证。
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来源期刊
Qualitative Theory of Dynamical Systems
Qualitative Theory of Dynamical Systems MATHEMATICS, APPLIED-MATHEMATICS
CiteScore
2.50
自引率
14.30%
发文量
130
期刊介绍: Qualitative Theory of Dynamical Systems (QTDS) publishes high-quality peer-reviewed research articles on the theory and applications of discrete and continuous dynamical systems. The journal addresses mathematicians as well as engineers, physicists, and other scientists who use dynamical systems as valuable research tools. The journal is not interested in numerical results, except if these illustrate theoretical results previously proved.
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