具有人传人、环境传人和分布式延迟的COVID-19模型动力学分析

IF 0.4 Q4 MATHEMATICS, APPLIED
Jie Xu, Yayuan Lei, TARIQ ABDULLAH, Gang Huang
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引用次数: 0

摘要

SARS-CoV-2可以在不同的环境中存活并保持数天的传染性,这给消除传染病带来了挑战。它鼓励研究人员研究SARS - CoV-2对环境的影响。本文建立了SARS-CoV-2的流行模型,该模型主要关注环境条件下病毒的传播。根据病毒在环境中的传播情况,引入两个分布式延迟来描述暴露个体和感染个体在不同感染时期的概率。导出了模型解的正性和有界性。建立了基本繁殖数阈值理论,结果表明COVID-19的持续依赖于基本繁殖数。通过数值模拟验证了理论结果。提出了控制和消除COVID-19传染病的措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamical analysis of a COVID-19 model with human-to-human and environment-to-human transmissions and distributed delays
SARS-CoV-2 can survive in different environments and remain infectious for several days, which presents challenges to eliminating infectious diseases. It encourages researchers to study the effects of SARS CoV-2 on the environment. In this paper, we formulate an epidemic model for SARS-CoV-2, which focuses on the transmission of the virus under environmental conditions. Two distributed delays are introduced to describe the probability of the exposed and infected individuals in different infection periods based on the transmission of the virus in the environment. Th positivity and boundedness of solutions of model are derived. The basic reproduction number threshold theory is established and the results demonstrate that the persistence of COVID-19 depends on the basic reproduction number. Numerical simulations are presented to verify the theoretical results. Some measures are proposed to control and eliminate COVID-19 infectious diseases.
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来源期刊
CiteScore
1.40
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0.00%
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