免疫和交叉感染环境中SIR流行病动力学的建模和分析:来自随机模型的见解

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Zhengbo Chang, Xinzhu Meng, T. Hayat, A. Hobiny
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引用次数: 4

摘要

我们提出了一个具有两种不同疾病交叉感染和免疫的随机SIR模型。该模型综合了随机性、交叉感染率和免疫效果。利用随机分析和Khasminski遍历理论,首次证明了流行病模型全局正解的存在性和有界性。随后,我们从理论上给出了疾病随机灭绝和持续存在的充分条件。第三,证明了遍历平稳分布的存在性。结果表明,白噪声会对系统的动力学产生显著影响。最后,进行了数值模拟,并与理论结果相一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling and analysis of SIR epidemic dynamics in immunization and cross-infection environments: Insights from a stochastic model
We propose a stochastic SIR model with two different diseases cross-infection and immunization. The model incorporates the effects of stochasticity, cross-infection rate and immunization. By using stochastic analysis and Khasminski ergodicity theory, the existence and boundedness of the global positive solution about the epidemic model are firstly proved. Subsequently, we theoretically carry out the sufficient conditions of stochastic extinction and persistence of the diseases. Thirdly, the existence of ergodic stationary distribution is proved. The results reveal that white noise can affect the dynamics of the system significantly. Finally, the numerical simulation is made and consistent with the theoretical results.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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