Analysis of Atangana–Baleanu fractional-order SEAIR epidemic model with optimal control

被引:0
作者
Chernet Tuge Deressa
Gemechis File Duressa
机构
[1] Jimma University,Department of Mathematics, College of Natural Sciences
来源
Advances in Difference Equations | / 2021卷
关键词
SEAIR model; Atangana–Baleanu fractional derivative; Basic reproductive number; Global stability; Numerical simulation; Optimal control analysis;
D O I
暂无
中图分类号
学科分类号
摘要
We consider a SEAIR epidemic model with Atangana–Baleanu fractional-order derivative. We approximate the solution of the model using the numerical scheme developed by Toufic and Atangana. The numerical simulation corresponding to several fractional orders shows that, as the fractional order reduces from 1, the spread of the endemic grows slower. Optimal control analysis and simulation show that the control strategy designed is operative in reducing the number of cases in different compartments. Moreover, simulating the optimal profile revealed that reducing the fractional-order from 1 leads to the need for quick starting of the application of the designed control strategy at the maximum possible level and maintaining it for the majority of the period of the pandemic.
引用
收藏
相关论文
共 82 条
  • [1] Dietz K.(2000)Bernoulli was ahead of modern epidemiology Nature 408 513-514
  • [2] Heesterbeek J.A.(1991)Contributions to the mathematical theory of epidemics—I Bull. Math. Biol. 53 33-55
  • [3] Kermack W.O.(2003)Global dynamics of an SEIR epidemic model with saturating contact rate Math. Biosci. 185 15-32
  • [4] McKendrick A.G.(2009)Global stability of an SEIR epidemic model with vertical transmission and saturating contact rate Chaos Solitons Fractals 40 874-884
  • [5] Zhang J.(2021)Modeling and optimal control analysis of transmission dynamics of COVID-19: the case of Ethiopia Alex. Eng. J. 60 719-732
  • [6] Ma Z.(2020)Optimal control and sensitivity analysis for transmission dynamics of coronavirus Results Phys. 59 3211-3221
  • [7] Li X.Z.(2010)Global stability of a delayed SIRS epidemic model with saturation incidence and temporary immunity Comput. Math. Appl. 2020 3786-3806
  • [8] Zhou L.L.(2020)Analysis of the stochastic model for predicting the novel coronavirus disease Adv. Differ. Equ. 19 75-89
  • [9] Deressa C.T.(2020)Examining the correlation between the weather conditions and COVID-19 pandemic in India: a mathematical evidence Results Phys. 43 2921-2926
  • [10] Duressa G.F.(2020)A fractional order HIV-TB coinfection model with nonsingular Mittag-Leffler law Math. Methods Appl. Sci. 4 2379-2389