Author:
Khan Muhammad Altaf,Atangana Abdon,Alzahrani Ebraheem,Fatmawati
Abstract
AbstractIn the present paper, we formulate a new mathematical model for the dynamics of COVID-19 with quarantine and isolation. Initially, we provide a brief discussion on the model formulation and provide relevant mathematical results. Then, we consider the fractal-fractional derivative in Atangana–Baleanu sense, and we also generalize the model. The generalized model is used to obtain its stability results. We show that the model is locally asymptotically stable if $\mathcal{R}_{0}<1$
R
0
<
1
. Further, we consider the real cases reported in China since January 11 till April 9, 2020. The reported cases have been used for obtaining the real parameters and the basic reproduction number for the given period, $\mathcal{R}_{0}\approx 6.6361$
R
0
≈
6.6361
. The data of reported cases versus model for classical and fractal-factional order are presented. We show that the fractal-fractional order model provides the best fitting to the reported cases. The fractional mathematical model is solved by a novel numerical technique based on Newton approach, which is useful and reliable. A brief discussion on the graphical results using the novel numerical procedures are shown. Some key parameters that show significance in the disease elimination from the society are explored.
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Algebra and Number Theory,Analysis
Reference29 articles.
1. Lin, Q., et al.: A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental action. Int. J. Infect. Dis. 93, 211–216 (2020)
2. Giordano, G., et al.: A SIDARTHE model of COVID-19 epidemic in Italy (2020). arXiv:2003.09861. Preprint
3. Giordano, G., et al.: Modelling the COVID-19 epidemic and implementation of population-wide interventions in Italy. Nat. Med., 1–6 (2020)
4. Lu, Z., et al.: A fractional-order SEIHDR model for COVID-19 with inter-city networked coupling effects. Nonlinear Dyn. (2020). https://doi.org/10.1007/s11071-020-05848-4
5. Rahman, A., Khorshed, I.: SimCOVID: an Open-Source Simulation Program for the COVID-19 Outbreak (2020). medRxiv
Cited by
140 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献