A fractional model for the dynamics of COVID-19 using Atangana-Baleanu fractional operators
Authors
Sh. Ahmed
- Department of Mathematics, Central University of Haryana, Mahendergarh-123029, India.
Sh. Jahan
- Department of Mathematics, Central University of Haryana, Mahendergarh-123029, India.
K. S. Nisar
- Department of Mathematics, College of Sciences and Humanities in Alkharj, Prince Sattam Bin Abdulaziz University, Alkharj 11942, Saudi Arabia.
- Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Jordan.
Abstract
This paper analyzes models that address key challenges in global healthcare related to COVID-19 and offers insights for developing effective response strategies. Our primary objective is to apply the Atangana-Baleanu-Caputo (ABC) fractional derivative, incorporating the Mittag-Leffler kernel, to conduct an in-depth analysis of the COVID-19 model. The Picard-Lindelof approach is used to do a comprehensive study of the existence and uniqueness of the model's solutions. The ABC operator, combining the fundamental theorem of fractional calculus with two-step Lagrange polynomial interpolation, was applied to estimate the solutions of the nonlinear fractional-order COVID-19 model. The behavior of the model is depicted through figures. The findings demonstrate that this method is both powerful and straightforward when applied to nonlinear equations. Furthermore, the results confirm the viability of the ABC fractional operator for mathematical epidemiology and its potential use in other real-world problems.
Share and Cite
ISRP Style
Sh. Ahmed, Sh. Jahan, K. S. Nisar, A fractional model for the dynamics of COVID-19 using Atangana-Baleanu fractional operators, Journal of Mathematics and Computer Science, 39 (2025), no. 2, 233--248
AMA Style
Ahmed Sh., Jahan Sh., Nisar K. S., A fractional model for the dynamics of COVID-19 using Atangana-Baleanu fractional operators. J Math Comput SCI-JM. (2025); 39(2):233--248
Chicago/Turabian Style
Ahmed, Sh., Jahan, Sh., Nisar, K. S.. "A fractional model for the dynamics of COVID-19 using Atangana-Baleanu fractional operators." Journal of Mathematics and Computer Science, 39, no. 2 (2025): 233--248
Keywords
- Atangana-Baleanu fractional operators
- COVID-19 disease
- fractional calculus
- numerical simulation
- Mittag-Leffler kernel
- mathematical epidemiology
MSC
References
-
[1]
T. Abdeljawad, Fractional operators with generalized Mittag-Leffler kernels and their iterated differintegrals, Chaos, 29 (2019), 10 pages
-
[2]
A. Akgül, A novel method for a fractional derivative with nonlocal and non-singular kernel, Chaos Solitons Fractals, 114 (2018), 478–482
-
[3]
A. Atangana, Modelling the spread of COVID-19 with new fractal-fractional operators: can the lockdown save mankind before vaccination?,, Chaos Solitons Fractals, 136 (2020), 38 pages
-
[4]
A. Atangana, D. Baleanu, New fractional derivatives with nonlocal and non-singular kernel: theory and application to heat transfer model, Therm. Sci., 20 (2016), 763–769
-
[5]
D. Baleanu, K. Diethelm, E. Scalas, J. J. Trujillo, Fractional calculus Models and numerical methods, World Scientific, Singapore (2012)
-
[6]
D. Baleanu, A. Jajarmi, S. S. Sajjadi, D. Mozyrska, A new fractional model and optimal control of a tumor-immune surveillance with non-singular derivative operator, Chaos, 29 (2019), 15 pages
-
[7]
D. Baleanu, P. Shekari, L. Torkzadeh, H. Ranjbar, A. Jajarmi, K. Nouri, Stability analysis and system properties of Nipah virus transmission: a fractional calculus case study, Chaos Solitons Fractals, 166 (2023), 10 pages
-
[8]
M. Caputo, M. Fabrizio, A new definition of fractional derivative without singular kernel, Prog. Fract. Differ. Appl., 1 (2015), 73–85
-
[9]
S. A. Cheema, T. Kifayat, A. R. Rahman, U. Khan, A. Zaib, I. Khan, K. S. Nisar, Is social distancing, and quarantine effective in restricting COVID-19 outbreak? Statistical evidences from Wuhan, China, Comput. Mater. Contin., 66 (2020), 1977–1985
-
[10]
A. Das, K. Dehingia, H. K. Sarmah, K. Hosseini, An optimally controlled chemotherapy treatment for cancer eradication, Int. J. Model. Simul., 44 (2024), 44–59
-
[11]
H. B. Fredj, F. Chérif, Novel Corona virus disease infection in Tunisia: Mathematical model and the impact of the quarantine strategy, Chaos Solitons Fractals, 138 (2020), 10 pages
-
[12]
R. Jan, N. N. A. Razak, S. Alyobi, Z. Khan, K. Hosseini, C. Park, S. Salahshour, S. Paokanta, Fractional dynamics of chronic lymphocytic leukemia with the effect of chemoimmunotherapy treatment, , 32 (2024), 16 pages
-
[13]
M. J. Keeling, P. Rohani, Modeling infectious diseases in humans and animals, Princeton University Press, Princeton, NJ (2008)
-
[14]
S. H. Khoshnaw, M. Shahzad, M. Ali, F Sultana, A quantitative and qualitative analysis of the COVID-19 pandemic model, Chaos Solitons Fractals, 138 (2020), 10 pages
-
[15]
M. Y. Li, J. R. Graef, L. Wang, J. Karsai, Global dynamics of a SEIR model with varying total population size, Math. Biosci., 160 (1999), 191–213
-
[16]
Z. Liu, P. Magal, O. Seydi, G. Webb, Understanding unreported cases in the COVID-19 epidemic outbreak in Wuhan, China, and the importance of major public health interventions, Biology, 9 (2020), 12 pages
-
[17]
K. Logeswari, C. Ravichandran, K. S. Nisar, Mathematical model for spreading of COVID-19 virus with the Mittag- Leffler kernel, Numer. Methods Partial Differ. Equ., 40 (2024), 16 pages
-
[18]
H. Lu, C. W. Stratton, Y.-W. Tang, Outbreak of pneumonia of unknown etiology in Wuhan, China: The mystery and the miracle, J. Medi. Virol., 92 (2020), 401–402
-
[19]
B. J. Nath, K. Dehingia, K. Sadri, H. K. Sarmah, K. Hosseini, C. Park, Optimal control of combined antiretroviral therapies in an HIV infection model with cure rate and fusion effect, Int. J. Biomath., 16 (2023), 23 pages
-
[20]
B. J. Nath, K. Sadri, H. K. Sarmah, K. Hosseini, An optimal combination of antiretroviral treatment and immunotherapy for controlling HIV infection, Math. Comput. Simul., 217 (2024), 226–243
-
[21]
V. S. Panwar, P. S. S. Uduman, J. F. Gómez-Aguilar, Mathematical modeling of coronavirus disease COVID-19 dynamics using CF and ABC non-singular fractional derivatives, Chaos Solitons Fractals, 145 (2021), 13 pages
-
[22]
O. J. Peter, A. S. Shaikh, M. O. Ibrahim, K. S. Nisar, D. Baleanu, I. Khan, A. I. Abioye, Analysis and dynamicsof fractional order mathematical model of COVID-19 in Nigeria using atangana-baleanu operator, Comput. Mater. Contin., 66 (2021), 1823–1848
-
[23]
I. Podlubny, Fractional differential equations, Academic Press, San Diego (1999)
-
[24]
N. A. Sajjadi, J. H. Asad, Fractional treatment: An accelerated mass-spring system, Rom. Rep. Phys., 74 (2022), 13 pages
-
[25]
M. Toufik, A. Atangana, New numerical approximation of fractional derivative with non-local and non-singular kernel: application to chaotic models, Eur. Phys. J. Plus., 132 (2017), 16 pages
-
[26]
World Health Organization, Novel coronavirus diseases, , (2019)
-
[27]
P. Yadav, S. Jahan, M. Izadi, Taylor wavelet quasilinearization method for solving tumor growth model of fractional order, Results Control Optim., 15 (2024), 12 pages
-
[28]
P. Yadav, S. Jahan, K. S. Nisar, Fractional order mathematical model of Ebola virus under Atangana–Baleanu–Caputo operator, Results Control Optim.,, 13 (2023), 15 pages
-
[29]
P. Yadav, S. Jahan, K. S. Nisar, Analysis of fractal-fractional Alzheimer’s disease mathematical model in sense of Caputo derivative, AIMS Public Health, 11 (2024), 399–419
-
[30]
P. Yadav, S. Jahan, K. Shah, O. J. Peter, T.Abdeljawad, Fractional-order modelling and analysis of diabetes mellitus: Utilizing the Atangana-Baleanu Caputo (ABC) operator, Alex. Eng. J., 81 (2023), 200–209
-
[31]
S. Zhao, H. Chen, Modeling the epidemic dynamics and control of COVID-19 outbreak in China, Quant. Biol., 8 (2020), 11–19