论文标题

在改良的SIR模型中,在疫苗接种下突变和SARS-COV-2菌株竞争

Mutation and SARS-CoV-2 strain competition under vaccination in a modified SIR model

论文作者

Ahumada, M., Ledesma-Araujo, A., Gordillo, Leonardo, Marín, Juan F.

论文摘要

全球联盟19日爆发引起的危机引起了人们对SARS-COV-2变体持续出现的越来越关注,这可能会逃避疫苗提供的免疫反应。新变体由于突变而出现,随着病例的积累,出现关注变量的可能性增加。在本文中,我们提出了一种具有减弱免疫力的修改后的SIR模型,该模型在疫苗接种的作用下捕获了两种感染性疾病的竞争,并具有高度传染性和致命的菌株类别,这是由于突变引起的先前菌株而出现的。当这些菌株竞争有限的易感人士供应时,疫苗效率的变化可能会以非平凡的方式影响疾病的行为,从而导致复杂的结果。我们表征包括疾病的内在参数,以及使用疫苗效率作为控制变量的参数空间。我们发现,地方性固定点和无疾病平衡之间的不同类型的跨临界分叉,并确定了在短暂时期两种应变类别并存的应变竞争区域。我们表明,由于应变竞争或疫苗接种而可以消除菌株,并且我们获得了疫苗消除该疾病的效率的临界值。使用从公开报告的数据估算的参数的数值研究与我们的理论结果一致。我们的数学模型可能是使用传染病流行病的动力学来定量评估竞争和新兴菌株的疫苗接种策略的工具。

The crisis caused by the COVID-19 outbreak around the globe raised an increasing concern about the ongoing emergence of variants of SARS-CoV-2 that may evade the immune response provided by vaccines. New variants appear due to mutation, and as the cases accumulate, the probability of the emergence of a variant of concern increases. In this article, we propose a modified SIR model with waning immunity that captures the competition of two strain classes of an infectious disease under the effect of vaccination with a highly contagious and deadly strain class emerging from a prior strain due to mutation. When these strains compete for a limited supply of susceptible individuals, changes in the efficiency of vaccines may affect the behaviour of the disease in a non-trivial way, resulting in complex outcomes. We characterise the parameter space including intrinsic parameters of the disease, and using the vaccine efficiencies as control variables. We find different types of transcritical bifurcations between endemic fixed points and a disease-free equilibrium and identify a region of strain competition where the two strain classes coexist during a transient period. We show that a strain can be extinguished either due to strain competition or vaccination, and we obtain the critical values of the efficiency of vaccines to eradicate the disease. Numerical studies using parameters estimated from publicly reported data agree with our theoretical results. Our mathematical model could be a tool to assess quantitatively the vaccination policies of competing and emerging strains using the dynamics in epidemics of infectious diseases.

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