移民暴露下COVID-19传播的数学建模与控制

Q2 Mathematics
R. I. Gweryina, C. E. Madubueze, Martins Afam Nwaokolo
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引用次数: 1

摘要

本文研究了新冠肺炎大流行的数学模型,该模型在有暴露移民的情况下通过水平传播传播。该模型具有平衡点,特别是无新冠肺炎平衡点和有新冠肺炎的平衡点。该模型显示出一个基本的繁殖数R0,它决定了疾病的消除和持续性。研究发现,当R0<1时,平衡点局部渐近稳定,不存在地方性平衡点。然而,当R0>1时,发现平衡是全局稳定的。这意味着,暴露移民与易感人群的持续混合将使新冠肺炎的根除变得困难,并在社区流行。该系统也被定性地证明在点R0=1处经历了接近无COVID-19平衡的跨临界分叉。从数字上讲,该模型用于研究某些其他相关参数对新冠肺炎传播的影响以及如何减少其影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mathematical Modelling and Control of COVID-19 Transmission in the Presence of Exposed Immigrants
In this paper, a mathematical model for COVID-19 pandemic that spreads through horizontal transmission in the presence of exposed immigrants is studied. The model has equilibrium points, notably, COVID-19-free equilibrium and COVID-19-endemic equilibrium points. The model exhibits a basic reproduction number, R0 which determines the elimination and persistence of the disease. It was found that when R0 < 1, then the equilibrium becomes locally asymptotically stable and endemic equilibrium does not exists. However, when R0 > 1, the equilibrium is found to be stable globally. This implies that continuous mixing of exposed immigrants with the susceptible population will make the eradication of COVID-19 difficult and endemic in the community. The system is also proved qualitatively to experience transcritical bifurcation close to the COVID-19-free equilibrium at the point R0 = 1. Numerically, the model is used to investigate the impact of certain other relevant parameters on the spread of COVID-19 and how to curtail their effect.
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来源期刊
Communication in Biomathematical Sciences
Communication in Biomathematical Sciences Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (miscellaneous)
CiteScore
3.60
自引率
0.00%
发文量
7
审稿时长
24 weeks
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