真实统计数据下信息和lsamvy噪声对随机COVID-19流行模型的影响

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2022-03-26 DOI:10.1080/17513758.2022.2055172

Peijiang Liu, Lifang Huang, Anwarud Din, Xiangxiang Huang

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引用次数: 0

摘要

本文考虑了包含信息干预和lsamvy噪声影响的随机冠状病毒(COVID-19)易感-感染-去除流行病模型的动力学行为。证明了模型正解的存在唯一性。然后，我们建立了一个随机阈值作为疾病灭绝和持续的充分条件。基于现有的COVID-19数据，对模型的参数进行估计，并用实际统计量对模型进行拟合。最后，给出了数值模拟来支持理论结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Impact of information and Lévy noise on stochastic COVID-19 epidemic model under real statistical data

In this paper, we consider the dynamical behaviour of a stochastic coronavirus (COVID-19) susceptible-infected-removed epidemic model with the inclusion of the influence of information intervention and Lévy noise. The existence and uniqueness of the model positive solution are proved. Then, we establish a stochastic threshold as a sufficient condition for the extinction and persistence in mean of the disease. Based on the available COVID-19 data, the parameters of the model were estimated and we fit the model with real statistics. Finally, numerical simulations are presented to support our theoretical results.

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.

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