DYNAMIC ANALYSIS OF A FRACTIONAL SVIR SYSTEM MODELING AN INFECTIOUS DISEASE

Necati Ozdemir, Esmehan Uçar, D. Avcı
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引用次数: 1

Abstract

Infectious diseases spread by microorganisms, viruses and bacteria, which can be transmitted from individual to individual very quickly and adversely affect public health, need to be treated immediately. In order to eliminate the structures that are harmful to the body or to strengthen the immune system, which is the whole of cells, structures and processes, individuals are vaccinated and the disease is suppressed. Thus, communicable diseases are prevented from threatening public health significantly. This paper offers a nonlinear fractional order system for modeling the effects of vaccination on a SVIR infectious disease. To see the memory effect on the system parameters, the model defined by the ordinary differential equation is redefined with the Caputo fractional derivative. Afterwards, the stability analysis and explanations are given about the fractional infectious disease SVIR model, the existence and uniqueness of the system are made. When $R^{c}<1$, it is seen that the disease is under control by vaccination, through the figures obtained with the help of MATLAB for the fractional SVIR model.
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模拟传染病的分数svir系统的动态分析
由微生物、病毒和细菌传播的传染病可以在人与人之间迅速传播,并对公众健康产生不利影响,需要立即治疗。为了消除对身体有害的结构或加强免疫系统,这是整个细胞,结构和过程,个人接种疫苗,疾病被抑制。因此,大大防止了传染病对公众健康的威胁。本文提供了一个非线性分数阶系统来模拟疫苗接种对SVIR传染病的影响。为了观察对系统参数的记忆效应,用卡普托分数阶导数对常微分方程定义的模型进行了重新定义。然后,对分式传染病SVIR模型进行了稳定性分析和解释,给出了系统的存在唯一性。当$R^{c}<1$时,通过MATLAB对分数SVIR模型得到的图形可以看出,通过接种疫苗可以控制疾病。
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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