疫苗接种和治疗对非线性发病率SIRS模型的影响

Arkan N. Mustafa, Hanaa J. Ahmed
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引用次数: 0

摘要

本文建立了一个由易感、接种、感染和清除组成的传染病模型。该模型考虑了疫苗接种因子、治疗因子和非线性发病率的影响。证明了模型解的非负性,找到了一个单纯形吸引子不变量集,利用新一代矩阵法计算了模型的基本再现数,并对模型平衡点进行了局部稳定性分析。我们收集了来自伊拉克库尔德斯坦地区的COVID-19感染病例的真实数据,估计了模型参数和基本再现数的敏感性,并研究了模型变量对模型参数的敏感性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of vaccination and treatment on SIRS model with Non-linear incidence rate
In this paper, an epidemic model consisting of susceptible, vaccination, infected and removal is formulated mathematically. The proposed model deals with incorporating the vaccination factor, treatment factor and non-linear incidence rate. Non negative for the model Solutions are proved, a simplex attractor invariant set is found, the basic reproduction number of the model is calculated using the method of the next-generation matrix, and the model equilibrium points performed a local stability analysis, we have collected the infected cases COVID-19 real data in Kurdistan region from Iraq to estimate the model parameters and sensitivity of the basic reproduction number and the model variable to the parameters of the model was studied
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