COVID-19 疾病模型分析:向后分叉以及药物和非药物干预措施的影响

Ibad Ullah, Nigar Ali, I. Haq, Imtiaz Ahmad, M. D. Albalwi, Md. Haider Ali Biswas
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引用次数: 0

摘要

本研究引入的 SEIQHR 模型是预测 COVID-19 和昆虫传播疾病等各种传染病出现的重要工具。研究分析了该模型的定性特征,包括基本繁殖数 R0 的计算。结果表明,当 R01 时,无病平衡点保持奇异和局部渐近稳定。此外,还概述了保证两个平衡点局部渐近稳定的具体条件。通过数值模拟,图表说明了模型参数对疾病动力学的影响,以及在卡普托导数的不同非整数阶上消除疾病的可能性。从本质上讲,采用分数流行病模型有助于加深对疾病动力学的理解和提高生物学洞察力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of COVID-19 Disease Model: Backward Bifurcation and Impact of Pharmaceutical and Nonpharmaceutical Interventions
The SEIQHR model, introduced in this study, serves as a valuable tool for anticipating the emergence of various infectious diseases, such as COVID-19 and illnesses transmitted by insects. An analysis of the model’s qualitative features was conducted, encompassing the computation of the fundamental reproduction number, R0. It was observed that the disease-free equilibrium point remains singular and locally asymptotically stable when R0<1, while the endemic equilibrium point exhibits uniqueness when R0>1. Additionally, specific conditions were outlined to guarantee the local asymptotic stability of both equilibrium points. Employing numerical simulations, the graphical representation illustrated the influence of model parameters on disease dynamics and the potential for its eradication across different noninteger orders of the Caputo derivative. In essence, the adoption of a fractional epidemic model contributes to a deeper comprehension and enhanced biological insights into the dynamics of diseases.
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