具有不完全疫苗的covid - 19数学模型的后向分岔和滞后

IF 0.3 Q4 MATHEMATICS
Solomon Isa Rwat, Noor Atinah Ahmad Ahmad
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引用次数: 1

摘要

疫苗接种已被用作根除新冠肺炎传播的战略。但据报道,不完美的疫苗会在疾病传播的数学模型中引发后向分叉和滞后。后向分叉是一种现象,当基本繁殖数小于1时,稳定的地方病平衡与稳定的无病平衡同时存在。这种情况可能会导致控制流行病的困难,因为基本繁殖不再是根除疾病的唯一手段。在本文中,我们提出了一个包括不完全疫苗接种在内的疾病传播的数学模型。我们证明了我们的模型能够在一定条件下捕获后向分叉。通过使用与新冠肺炎在马来西亚传播相关的参数,我们的数值分析表明,低疫苗效力可能引发后向分叉。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Backward Bifurcation and Hysteresis in a Mathematical Model of COVID19 with Imperfect Vaccine
Vaccination has been used as strategy to eradicate the spread of COVID-19. But imperfect vaccine has been reported to induce backward bifurcation and hysteresis in mathematical models of disease transmission. Backward bifurcation is a phenomenon whereby a stable endemic equilibrium exists contemporaneously with a stable disease-free equilibrium when the basic reproduction number is less than 1. This situation can cause difficulty in controlling an epidemic because the basic reproduction is no longer the only means of eradicating the disease. In this paper, we propose a mathematical model for the transmission of disease which includes imperfect vaccination. We show that our model is capable of capturing backward bifurcation under certain conditions. By using parameters that are relevant to COVID-19 transmission in Malaysia, our numerical analysis shows that low vaccine efficacy can trigger backward bifurcation.
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来源期刊
Matematika
Matematika MATHEMATICS-
自引率
25.00%
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