Asymptotic comportment of a stochastic SIQR model with mean-reverting inhomogeneous geometric Brownian motion

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
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引用次数: 0

Abstract

The object of this work is to analyze the dynamical behavior of an SIQR epidemic model incorporating the mean-reverting inhomogeneous geometric Brownian motion process (IGBM for short). As a first step, we prove that a global-in-time solution exists, and we show equally that it is unique and positive. Then, we find out an appropriate hypothetical framework leading to the existence of an ergodic stationary distribution. After that, we provide certain sufficient conditions for the disease’s exponential extinction, and we show that they match those of the deterministic version in this case. Finally, we outline some numerical simulation examples to back up our theoretical outcomes.
具有均值还原非齐次几何布朗运动的随机SIQR模型的渐近性质
本文的目的是分析一个包含均值回归非齐次几何布朗运动过程(简称IGBM)的SIQR流行病模型的动力学行为。作为第一步,我们证明了全局实时解的存在性,并同样证明了它是唯一的和正的。然后,我们找到了导致遍历平稳分布存在的一个适当的假设框架。在那之后,我们为疾病的指数灭绝提供了一定的充分条件,我们证明了它们与这种情况下的确定性版本相匹配。最后,我们概述了一些数值模拟实例来支持我们的理论结果。
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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来源期刊
Communications in Mathematical Biology and Neuroscience
Communications in Mathematical Biology and Neuroscience COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
2.10
自引率
15.40%
发文量
80
期刊介绍: Communications in Mathematical Biology and Neuroscience (CMBN) is a peer-reviewed open access international journal, which is aimed to provide a publication forum for important research in all aspects of mathematical biology and neuroscience. This journal will accept high quality articles containing original research results and survey articles of exceptional merit.
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