一个分数阶新冠肺炎模型的稳定性分析

Meghadri Das, G. Samanta
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引用次数: 21

摘要

摘要本工作的主要目的是研究2020年新冠肺炎在意大利的传播动态,2020年1月31日意大利报告了2019年第一例冠状病毒病(新冠肺炎)。考虑到冠状病毒(新冠肺炎)信息有限造成的不确定性,我们在分数阶框架下采用了改良的易感-症状-感染-恢复(SAIR)区室模型。我们通过将感染区划分为两个子区(已报告和未报告)来制定我们的模型,并引入住院类别。在这项工作中,我们研究了系统在不同平衡点(无疾病和地方病)的局部和全局稳定性,并计算了意大利情景的敏感性指数。通过将实际数据与模拟结果进行比较,证明了该模型的有效性。
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Stability analysis of a fractional ordered COVID-19 model
Abstract The main purpose of this work is to study transmission dynamics of COVID-19 in Italy 2020, where the first case of Coronavirus disease 2019 (COVID-19) in Italy was reported on 31st January 2020. Taking into account the uncertainty due to the limited information about the Coronavirus (COVID-19), we have taken the modified Susceptible-Asymptomatic-Infectious-Recovered (SAIR) compartmental model under fractional order framework. We have formulated our model by subdividing infectious compartment into two sub compartments (reported and unreported) and introduced hospitalized class. In this work, we have studied the local and global stability of the system at different equilibrium points (disease free and endemic) and calculated sensitivity index for Italy scenario. The validity of the model is justified by comparing real data with the results obtained from simulations.
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来源期刊
Computational and Mathematical Biophysics
Computational and Mathematical Biophysics Mathematics-Mathematical Physics
CiteScore
2.50
自引率
0.00%
发文量
8
审稿时长
30 weeks
期刊最新文献
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