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首页> 外文期刊>Communications in Mathematical Biology and Neuroscience >Stability analysis of mathematical model new corona virus (COVID-19) disease spread in population
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Stability analysis of mathematical model new corona virus (COVID-19) disease spread in population

机译:数学模型新电晕病毒(Covid-19)疾病的稳定性分析

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The New Corona Virus epidemic is the most serious epidemic that the international community had known in 2019 and this is manifested by the deaths it claimed and in a short time. Its risk is much greater than (MERS) disease that emerged in the Republic of Korea and it is spreading largely more than SARS disease which appeared in Saudi Arabia and the Middle East. This deadly disease caught the public’s attention and caused terror in many societies around the world. We are building a dynamic model based on the detailed data of mortality from the World Health Organization (WHO) and the actual spread of the epidemic. By using Routh-Hurwitz criteria and constructing Lyapunov functions, the local and the global stability of the disease-free equilibrium and the disease equilibrium are obtained. We also study the sensitivity analysis of model parameters to know the parameters that have a high impact on the reproduction number R0. Finally, numerical simulations are performed to verify the theoretical analysis using Matlab.
机译:新的电晕病毒疫情是国际社会在2019年所知的最严重的流行病,这表明它在短时间内的死亡人员表现出来。它的风险大于朝鲜共和国出现的(MERS)疾病,它在大幅蔓延的比沙特阿拉伯和中东出现的SARS病得多。这种致命的疾病引起了公众的注意力,并在世界各地的许多社会中引起了恐怖。我们根据世界卫生组织(世卫组织)和疫情的实际传播,基于基于地死亡率的详细数据构建动态模型。通过使用Routh-Hurwitz标准和构建Lyapunov功能,获得了无疾病平衡和疾病平衡的局部和全球稳定性。我们还研究了模型参数的敏感性分析,以了解对再现号码R0具有高影响的参数。最后,执行数值模拟以验证使用MATLAB的理论分析。

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