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新冠病毒奥密克戎毒株与德尔塔毒株的竞争性传播建模

Modeling the competitive transmission of the Omicron strain and Delta strain of COVID-19.

作者信息

Guo Youming, Li Tingting

机构信息

College of Science, Guilin University of Technology, Guilin, Guangxi 541004, PR China.

Guangxi Colleges and Universities Key Laboratory of Applied Statistics, Guilin University of Technology, Guilin, Guangxi 541004, PR China.

出版信息

J Math Anal Appl. 2023 Oct 15;526(2):127283. doi: 10.1016/j.jmaa.2023.127283. Epub 2023 Mar 31.

Abstract

Since November 2021, there have been cases of COVID-19's Omicron strain spreading in competition with Delta strains in many parts of the world. To explore how these two strains developed in this competitive spread, a new compartmentalized model was established. First, we analyzed the fundamental properties of the model, obtained the expression of the basic reproduction number, proved the local and global asymptotic stability of the disease-free equilibrium. Then by means of the cubic spline interpolation method, we obtained the data of new Omicron and Delta cases in the United States of new cases starting from December 8, 2021, to February 12, 2022. Using the weighted nonlinear least squares estimation method, we fitted six time series (cumulative confirmed cases, cumulative deaths, new cases, new deaths, new Omicron cases, and new Delta cases), got estimates of the unknown parameters, and obtained an approximation of the basic reproduction number in the United States during this time period as . Finally, each control strategy was evaluated by cost-effectiveness analysis to obtain the optimal control strategy under different perspectives. The results not only show the competitive transmission characteristics of the new strain and existing strain, but also provide scientific suggestions for effectively controlling the spread of these strains.

摘要

自2021年11月以来,新冠病毒奥密克戎毒株在世界许多地区与德尔塔毒株竞争传播的情况时有发生。为探究这两种毒株在这种竞争性传播中是如何发展的,建立了一个新的分区模型。首先,我们分析了模型的基本性质,得到了基本再生数的表达式,证明了无病平衡点的局部和全局渐近稳定性。然后通过三次样条插值法,获取了从2021年12月8日至2022年2月12日美国新增奥密克戎和德尔塔病例的数据。利用加权非线性最小二乘估计方法,对六个时间序列(累计确诊病例、累计死亡病例、新增病例、新增死亡病例、新增奥密克戎病例和新增德尔塔病例)进行拟合,得到未知参数的估计值,并得出这一时期美国基本再生数的近似值为 。最后,通过成本效益分析对各项控制策略进行评估,以获得不同视角下的最优控制策略。研究结果不仅展示了新毒株与现有毒株的竞争性传播特征,也为有效控制这些毒株的传播提供了科学建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/02da/10065814/6c6332cc09ee/gr001_lrg.jpg

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