流行性扩展疾病埃博拉病毒的建模和稳定性分析及其对人群预防的影响

M. Tahir, N. Anwar, Syed Inayat Ali Shah, T. Khan
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引用次数: 5

摘要

摘要在本小节中,我们提出了由易感暴露感染者康复(SEIR)模型提出的埃博拉病毒(EBOV)的数学模型。在我们的模型中,种群受到动物的影响。EBOV是一种传染性病原体,可导致人类和一些猴子的出血热,这是一种以高烧和出血为特征的严重传染病。在这里,我们评估了与EBOV感染阶段相关的传播性,并生成了流行病模型。为了做到这一点,在第一步中,我们建立了模型,并给出了所提出模型的基本性质。基本繁殖数是通过使用下一代矩阵方法获得的。然后,推导出与该疾病相关的所有地方病平衡点。我们还找到了根据基本繁殖数(局部和全局稳定性)研究模型所有可能平衡的条件。最后,对所提出的模型进行了有无疫苗接种或控制的数值模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling and stability analysis of epidemic expansion disease Ebola virus with implications prevention in population
Abstract In this subsection, we presented a mathematical model of Ebola virus (EBOV) proposed by susceptible exposed infected recovered (SEIR) model. In our model, the population is affected by animals. EBOV is an infectious agent causing haemorraghic fever, a severe infectious disease characterised by high fever and bleeding, in humans and some monkeys. Here, we assessed the transmissibility associated with the infection stages of EBOV that generated an epidemic model. In order to do this, in the first step, we formulate the model, and the basic properties of the proposed model are presented. The basic reproductive number is obtained by using the next generation matrix approach. Then, all the endemic equilibrium points related to the disease are derived. We also find the conditions to investigate all possible equilibria of the model in terms of the basic reproduction number (local and global stability). In last, numerical simulation is presented with and without vaccination or control for the proposed model.
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来源期刊
Cogent Biology
Cogent Biology MULTIDISCIPLINARY SCIENCES-
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