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The Effect of Social Media for a Zika Virus Transmission with Beddington DeAngelis Incidence Rate: Modeling and Analysis

机译:Zika病毒传输与Beddington Deangelis发病率的影响:建模与分析

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This paper discuss a modified mathematical model of Zika virus transmission and analyzes the impact of the awareness programs on social media the modification of of Zika Virus model with saturated incidence rate. The Beddington-De Angelis functional responses used to describe the interaction between a suspected human and an infected human. The dynamics of the model were analyzed by identifying the disease-free (DFE) and endemic equilibrium (END). Next Generation Matrix (NGM) was used to determine the Basic Reproduction Number. The stability of DFE and END were analyzed locally by computing the determinant of Jacobian. The DFE was identified as locally stable when the basic reproduction number was less than unity; and was identified as unstable otherwise. Meanwhile, the END was identified as existents when the basic reproduction number was greater than unity. The Routh-Hurwitz Criterion showed that the END was locally stable under a specific condition. A sensitivity analysis was also computed to determine the most influential parameter value of the model. In the end, the stability of DFE and END were also identified numerically depending on certain parameter values.
机译:本文讨论了Zika病毒传输的修改后数学模型,分析了饱和发病率Zika病毒模型的Zika病毒模型的修改的影响。床堆 - 德安斯官能反应用于描述疑似人类和受感染者之间的相互作用。通过鉴定无疾病(DFE)和流动性均衡(终端)来分析模型的动态。下一代矩阵(NGM)用于确定基本再现数。通过计算Jacobian的决定簇在本地分析DFE和结束的稳定性。当基本再现数量小于统一时,DFE被鉴定为局部稳定;并否则被确定为不稳定。同时,当基本再现数大于统一时,末端被识别为存在。 Routh-Hurwitz标准表明,在特定条件下,末端在局部稳定。还计算了灵敏度分析以确定模型最有影响力的参数值。最后,DFE和末端的稳定性也根据某些参数值来数量识别。

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