Mathematical modeling of poliomyelitis virus with vaccination and post-paralytic syndrome dynamics using Caputo and ABC fractional derivatives

IF 1.8 3区 数学 Q1 MATHEMATICS, APPLIED Mathematical Methods in the Applied Sciences Pub Date : 2024-08-20 DOI:10.1002/mma.10406
Elhoussine Azroul, Sara Bouda
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Abstract

In this study, using Caputo and ABC derivatives, we present a mathematical analysis of two fractional models for poliomyelitis, considering the presence of vaccination (V) and a post-paralytic class (A). The existence and uniqueness of solutions are proved. The basic reproduction number R 0 $$ {\mathcal{R}}_0 $$ is computed. Local and global stability of the disease-free stationary state, depending on the threshold R 0 $$ {\mathcal{R}}_0 $$ , is provided, along with conditions for the existence of an endemic stationary state. Moreover, we performed a sensitivity analysis to study the influence of all biological parameters on R 0 $$ {\mathcal{R}}_0 $$ . We concluded our study with numerical simulations to illustrate the models' dynamics and to compare the trajectories of Caputo and ABC solutions. We found that the Caputo and ABC operators are both convenient for the modelization of the poliomyelitis disease. However, the ABC operator not only refined the Caputo operator by removing singularity from the kernel expression but also brought out heredity and memory in the model's characteristics.

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利用卡普托和 ABC 分数导数建立脊髓灰质炎病毒疫苗接种和麻痹后综合征动态数学模型
在这项研究中,我们利用Caputo和ABC导数,给出了考虑疫苗接种(V)和麻痹后类别(a)存在的两个分数模型的数学分析。证明了解的存在性和唯一性。计算基本复制数r0 $$ {\mathcal{R}}_0 $$。无病平稳状态的局部和全局稳定性取决于阈值R 0 $$ {\mathcal{R}}_0 $$,并提供了地方性平稳状态存在的条件。此外,我们还进行了敏感性分析,研究了所有生物学参数对R 0 $$ {\mathcal{R}}_0 $$的影响。最后,我们用数值模拟来说明模型的动力学,并比较Caputo和ABC解的轨迹。我们发现Caputo算子和ABC算子都便于脊髓灰质炎疾病的建模。而ABC算子不仅对Caputo算子进行了改进,去掉了核表达式中的奇异性,而且在模型的特性中发挥了遗传和记忆的作用。
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来源期刊
CiteScore
4.90
自引率
6.90%
发文量
798
审稿时长
6 months
期刊介绍: Mathematical Methods in the Applied Sciences publishes papers dealing with new mathematical methods for the consideration of linear and non-linear, direct and inverse problems for physical relevant processes over time- and space- varying media under certain initial, boundary, transition conditions etc. Papers dealing with biomathematical content, population dynamics and network problems are most welcome. Mathematical Methods in the Applied Sciences is an interdisciplinary journal: therefore, all manuscripts must be written to be accessible to a broad scientific but mathematically advanced audience. All papers must contain carefully written introduction and conclusion sections, which should include a clear exposition of the underlying scientific problem, a summary of the mathematical results and the tools used in deriving the results. Furthermore, the scientific importance of the manuscript and its conclusions should be made clear. Papers dealing with numerical processes or which contain only the application of well established methods will not be accepted. Because of the broad scope of the journal, authors should minimize the use of technical jargon from their subfield in order to increase the accessibility of their paper and appeal to a wider readership. If technical terms are necessary, authors should define them clearly so that the main ideas are understandable also to readers not working in the same subfield.
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