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病毒变体的出现:通过对 COVID-19 废水监测数据进行验证的具有交叉免疫时滞的竞争模型动力学。

The emergence of a virus variant: dynamics of a competition model with cross-immunity time-delay validated by wastewater surveillance data for COVID-19.

机构信息

Mathematics and Computer Science Department, Lawrence Technological University, 21000 W. 10 Mile Rd, Southfield, MI, 48075, USA.

School of Mathematical and Statistical Sciences, Arizona State University, 901 S. Palm Walk, Tempe, AZ, 85287-1804, USA.

出版信息

J Math Biol. 2023 Mar 29;86(5):63. doi: 10.1007/s00285-023-01900-0.

DOI:10.1007/s00285-023-01900-0
PMID:36988621
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10054223/
Abstract

We consider the dynamics of a virus spreading through a population that produces a mutant strain with the ability to infect individuals that were infected with the established strain. Temporary cross-immunity is included using a time delay, but is found to be a harmless delay. We provide some sufficient conditions that guarantee local and global asymptotic stability of the disease-free equilibrium and the two boundary equilibria when the two strains outcompete one another. It is shown that, due to the immune evasion of the emerging strain, the reproduction number of the emerging strain must be significantly lower than that of the established strain for the local stability of the established-strain-only boundary equilibrium. To analyze the unique coexistence equilibrium we apply a quasi steady-state argument to reduce the full model to a two-dimensional one that exhibits a global asymptotically stable established-strain-only equilibrium or global asymptotically stable coexistence equilibrium. Our results indicate that the basic reproduction numbers of both strains govern the overall dynamics, but in nontrivial ways due to the inclusion of cross-immunity. The model is applied to study the emergence of the SARS-CoV-2 Delta variant in the presence of the Alpha variant using wastewater surveillance data from the Deer Island Treatment Plant in Massachusetts, USA.

摘要

我们考虑了一种病毒在人群中传播的动力学,该人群产生了一种具有感染已建立株感染个体能力的突变株。使用时滞来包含暂时的交叉免疫,但发现这是一种无害的延迟。当两种菌株相互竞争时,我们提供了一些充分条件,保证了无病平衡点和两个边界平衡点的局部和全局渐近稳定性。结果表明,由于新出现的菌株的免疫逃避,新出现的菌株的繁殖数必须显著低于已建立的菌株,才能使已建立的菌株边界平衡点的局部稳定。为了分析唯一的共存平衡点,我们应用准稳态论证将全模型简化为二维模型,该模型表现出一个建立菌株唯一的全局渐近稳定平衡点或全局渐近稳定共存平衡点。我们的结果表明,两种菌株的基本繁殖数控制着整体动力学,但由于交叉免疫的存在,其方式是非平凡的。该模型被应用于使用来自美国马萨诸塞州 Deer Island 处理厂的废水监测数据来研究 SARS-CoV-2 Delta 变体在 Alpha 变体存在下的出现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eccc/10060330/417ef1a78a12/285_2023_1900_Fig12_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eccc/10060330/417ef1a78a12/285_2023_1900_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eccc/10060330/849ab5572ede/285_2023_1900_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eccc/10060330/d7d8918c2b1b/285_2023_1900_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eccc/10060330/132fb313ce34/285_2023_1900_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eccc/10060330/514421da543d/285_2023_1900_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eccc/10060330/a98377015c78/285_2023_1900_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eccc/10060330/57bde4bd646c/285_2023_1900_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eccc/10060330/a98a89baa273/285_2023_1900_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eccc/10060330/54eee869871f/285_2023_1900_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eccc/10060330/6a1fc7c921cd/285_2023_1900_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eccc/10060330/cb9720460036/285_2023_1900_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eccc/10060330/417ef1a78a12/285_2023_1900_Fig12_HTML.jpg

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