journal article·2021Open access

Analysis and Dynamics of Fractional Order Mathematical Model of COVID-19 in Nigeria Using Atangana-Baleanu Operator

Olumuyiwa J. Peter, Amjad S. Shaikh, Mohammed O. Ibrahim, Kottakkaran Sooppy Nisar, Dumitru Baleanu, Ilyas Khan, Adesoye I. Abioye

Computers, Materials & Continua· Volume 66· Issue 2

Abstract

We propose a mathematical model of the coronavirus disease 2019 (COVID-19) to investigate the transmission and control mechanism of the disease in the community of Nigeria. Using stability theory of differential equations, the qualitative behavior of model is studied. The pandemic indicator represented by basic reproductive number R0 is obtained from the largest eigenvalue of the next-generation matrix. Local as well as global asymptotic stability conditions for the disease-free and pandemic equilibrium are obtained which determines the conditions to stabilize the exponential spread of the disease. Further, we examined this model by using Atangana–Baleanu fractional derivative operator and existence criteria of solution for the operator is established. We consider the data of reported infection cases from April 1, 2020, till April 30, 2020, and parameterized the model. We have used one of the reliable and efficient method known as iterative Laplace transform to obtain numerical simulations. The impacts of various biological parameters on transmission dynamics of COVID-19 is examined. These results are based on different values of the fractional parameter and serve as a control parameter to identify the significant strategies for the control of the disease. In the end, the obtained results are demonstrated graphically to justify our theoretical findings.
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Research context

OpenAlex topics: Fractional Differential Equations Solutions · Mathematical and Theoretical Epidemiology and Ecology Models · COVID-19 epidemiological studies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (38)

Show source-provided references
1. COVID-19 Coronavirus Pandemic, 2020. [online]. Available: https://www.worldometers.info/coronavirus/#repro.
2. Cryo-EM structure of the 2019-nCoV spike in the prefusion Conformation
3. Using mathematics to understand and control the 2019 novel coronavirus pandemic
4. A novel coronavirus from patients with pneumonia in China 201910.1056/NEJMoa2001017 ↗
5. J. B.Aguilar, G. S. M.Faust, L. M.Westafer and J. B.Gutierrez, “A Model Describing COVID-19 Community Transmission Taking into Account Asymptomatic Carriers and Risk Mitigation,” medRxiv 2020.03.18.20037994, 2020.10.1101/2020.03.18.20037994 ↗
6. Available: https://en.wikipedia.org/wiki/COVID-19_pandemic_in_Nigeria.
7. Nigeria Centre for Disease Control. Available: https://covid19.ncdc.gov.ng/.
8. A mathematical model for simulating the phase-based transmissibility of a novel coronavirus10.1186/s40249-020-00640-3 ↗
9. Mathematical modelling of COVID-19 transmission dynamics with a case study of Wuhan10.1016/j.chaos.2020.109846 ↗
10. A mathematical model for the novel coronavirus epidemic in Wuhan China10.3934/mbe.2020148 ↗
11. Transmission dynamics of the covid-19 outbreak and effectiveness of government interventions: A data-driven analysis
12. Effect of delay in diagnosis on transmission of COVID-1910.3934/mbe.2020149 ↗
13. Estimating risk for death from 2019 novel coronavirus disease, China, January–Febrary 2020
14. A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental action
15. Estimation of the transmission risk of 2019nCoV and its implication for public health interventions10.3390/jcm9020462 ↗
16. Mathematical modeling of the spread of the coronavirus disease 2019 (COVID-19) considering its particular characteristics: The case of China
17. Modeling the dynamics of novel coronavirus (2019-nCov) with fractional Derivative10.1016/j.aej.2020.02.033 ↗
18. Mathematical modeling and epidemic prediction of COVID-19 and its significance to epidemic prevention and control measures
19. Analysis of the COVID- 19 pandemic spreading in India by an epidemiological model and fractional differential operator
20. A mathematical model of COVID-19 using fractional derivative: Outbreak in India with dynamics of transmission and control10.1186/s13662-020-02834-3 ↗
21. Towards an artificial intelligence framework for data-driven prediction of Coronavirus clinical severity10.32604/cmc.2020.010691 ↗
22. Approximate solutions of a generalized Hirota-Satsuma coupled KdV and a coupled mKdV system with time fractional derivatives
23. Approximate solutions of time fractional Kawahara and modified Kawahara equations by fractional complex transform10.5899/2016/cna-00277 ↗
24. Analysis of differential equations involving Caputo-Fabrizio fractional operator and its applications to reaction-diffusion equations10.1186/s13662-019-2115-3 ↗
25. Transmission dynamics of fractional order Typhoid fever model using Caputo Fabrizio operator10.1016/j.chaos.2019.08.012 ↗
26. Two analytical methods for time-fractional nonlinear coupled Boussinesq-Burger’s equations arise in propagation of shallow water waves10.1007/s11071-016-2716-2 ↗
27. The definition and numerical method of final value problem and arbitrary value problem10.32604/csse.2018.33.379 ↗
28. Discrimination of natural images and computer generated graphics based on multi-fractal and regression analysis
29. Particle swarm optimization with chaos-based initialization for numerical optimization10.1080/10798587.2017.1293881 ↗
30. Mathematical analysis and computational experiments for an epidemic system with nonlocal and non-singular derivative10.1016/j.chaos.2019.06.001 ↗
31. New fractional derivatives applied to the Korteweg-de-Vries and Korteweg-de Vries-Burger’s equations10.1007/s40314-018-0627-1 ↗
32. New fractional derivatives with non-local and non-singular kernel: Theory and application to heat transfer model10.2298/TSCI160111018A ↗
33. New numerical approach for fractional differential equations10.1051/mmnp/2018010 ↗
34. Numerical patterns in reaction-diffusion system with the Caputo and Atangana-Baleanu fractional derivatives10.1016/j.chaos.2018.08.025 ↗
35. The basic reproduction number of SARS-CoV-2 in Wuhan isabout to die out, how about the rest of the World
36. COVID-19 Dashboard, Available: https://coronaworld.info/dashboard/.
37. Human coronaviruses: Insights into environmental resistance and its influence on the development of new antiseptic strategies10.3390/v4113044 ↗
38. The government of Wuhan homepage. Available: http://english.wh.gov.cn/.