Control of Marburg Virus Disease Spread in Humans under Hypersensitive Response through Fractal-Fractional

Authors

  • Ankita Dwivedi Guru Ghasidas Vishwavidyalaya (A Central University)Bilaspur - 495009, India
  • Santosh Verma Guru Ghasidas Vishwavidyalaya (A Central University)Bilaspur - 495009, India

DOI:

https://doi.org/10.48165/jmmfc.2025.2205

Keywords:

Caputo- fractional derivative, Preypredator-super predator model, Delay, Harvesting, Allee effect

Abstract

In this study, we propose and analyze a novel fractional-order preypredator-super predator model that incorporates maturation delay, harvesting, and the Allee effect. The prey population is assumed to grow logistically under the influence of a strong Allee effect, with a time delay accounting for the mat uration period. Predators and super predators interact through predation and competition, while also experiencing harvesting impacts. The system is described using the Caputo fractional derivative to bet ter capture memory effects inherent in ecological processes. Furthermore, herd behavior in predation is represented through a generalized functional response dependent on a parameter α, modeling various herd structures such as circular, square, cubic, and spherical formations. Key parameters include the intrinsic growth rate of prey, carrying capacity, mortality rates, predation coefficients, Allee threshold, and harvesting intensities. We investigate the existence and local stability of equilibria, derive the net reproduction numbers for both predator and super predator populations, and perform a Hopf bifurca tion analysis to explore the emergence of delay-induced periodic solutions. The results enhance the understanding of how memory, delay, harvesting, and Allee effects collectively influence the dynamics of ecological systems. The AdamsBashforthMoulton method is employed to approximate the solutions of the proposed model. Using Python, we perform graphical illustrations and numerical simulations to support our analysis.

References

Diethelm K. The analysis of fractional differential equations: An application-oriented exposition using differential operators of Caputo type. Springer; 2010.

Diethelm K, Ford N, Freed A. A predictor–corrector approach for the numerical solution of fractional differential equations. Nonlinear Dyn. 2002;29(1):3–22.

Ford N, Simpson A. The numerical solution of fractional differential equations: Speed versus accuracy. Numer Algorithms. 2001;26(4):333–346.

Garrappa R. On linear stability of predictor–corrector algorithms for fractional differential equations. Int J Comput Math. 2010;87(10):2187–2203.

Kilbas AA, Srivastava HM, Trujillo JJ. Theory and applications of fractional differential equations. Elsevier; 2006.

Lubich C. Discretized fractional calculus. SIAM J Math Anal. 1986;17(3):704–719.

Miller KS, Ross B. An introduction to the fractional calculus and fractional differential equations. Wiley; 1993.

Podlubny I. Fractional differential equations. Mathematics in Science and Engineering, Vol. 198. Academic Press; 1999.

Owolabi K. Computational study of non-integer order system of predation. Chaos. 2019;29(1):013120.

Group B: Classical Predator–Prey Theory & Functional Responses

Holling CS. Some characteristics of simple types of predation and parasitism. Can Entomol. 1959;91:385–398.Rosenzweig M, MacArthur R. Graphical representation and stability conditions of predator–prey interactions. Am Nat. 1963;97:209–235.

Van den Driessche P, Watmough J. Reproduction numbers and sub-threshold endemic equilibria for compartmental models. Math Biosci. 2002;180(1–2):29–48.

Lenzini F, Rebaza J. Non-constant predator harvesting on ratio-dependent predator–prey models. Appl Math Sci. 2010;4(8):791–803.

Martin C, Ruan S. Predator–prey models with delay and prey harvesting. J Math Biol. 2001;43(3):247–267.

Group C: Fractional-Order Epidemic & SIR-Type Models

Angstmann CN, Henry BI, McGann AV. A fractional-order infectivity SIR model. Physica A. 2016;452:86–93.

Sarkar K, Khajanchi S. An eco-epidemiological model with the impact of fear. Chaos. 2022;32(8).

Group D: Fractional Predator–Prey Models (General Dynamics & Stability)

Arif M, Abodayeh K, Ejaz A. Stability analysis of fractional-order predator–prey system with consuming food resource. Axioms.2023;12(1):64.

Bentout S, Djilali S, Kumar S. Mathematical analysis of the influence of prey escaping from prey herd on three-species fractional predator–prey interaction model. Physica A. 2021;572:125840.

Bi Z, Liu S, Ouyang M. Spatial dynamics of a fractional predator–prey system with time delay and Allee effect. Chaos Solitons Fractals. 2022;162:112434.

Mandal M, Jana SS, Nandi S, Kar T. Modeling and analysis of a fractional-order prey–predator system incorporating harvesting. Model Earth Syst Environ. 2021;7(2):1159–1176.

Nosrati K, Shafiee M. Dynamic analysis of fractional-order singular Holling type-II predator–prey system. Appl Math Comput. 2017;313:159–179.

Owolabi K. Dynamical behaviour of fractional-order predator–prey system of Holling type. Discrete Contin Dyn Syst Ser S. 2020;13(3):823–847.

Yavuz M, Sene N. Stability analysis and numerical computation of the fractional predator–prey model with the harvesting rate. Fractal Fract. 2020;4(3):35.

Group E: Harvesting, Fear Effect & Allee Effect in Fractional Predator–Prey Models

Bhunia B, Bhutia L, Kar T, Debnath P. Explicit impacts of harvesting on a fractional-order delayed predator–prey model. Eur Phys J Spec Top. 2023;232:2629–2644.

Bhunia B, Kar TK, Debnath P. Explicit impacts of harvesting on a delayed predator–prey system with Allee effect. Int J Dyn Control. 2024;12(2):571–585.

Brahim B, et al. Effect of harvesting on a three-species predator–prey interaction with fractional derivative. Fractals. 2022;30(08):2240234.

Karthikeyan S, Ramesh P, Sambath M. Stability analysis of harvested fractional-order prey–predator model with Holling type IV response. Int J Nonlinear Anal Appl. 2023;14(1):2019–2030.

Kumar GR, et al. Dynamical study of fractional-order Leslie–Gower model of predator–prey with fear, Allee effect, and inter-species rivalry. Results Control Optim. 2024;14:100403.

Kumar S, Singh R, Chauhan R, Thakur N. Investigation of an interacting fractional-order predator–prey system in presence of fear and harvesting. Iran J Sci. 2023;47:1739–1749.

Ma Y, Zhao M, Du Y. Impact of the strong Allee effect in a predator–prey model. AIMS Math. 2022;7:16296–16314.

Mortuja MG, Chaube MK, Kumar S. Dynamic analysis of a predator–prey system with nonlinear prey harvesting and square-root functional response. Chaos Solitons Fractals. 2021;148:111071.

Mukherjee M, Pal D, Mahato S, Bonyah E. Prey–predator optimal harvesting mathematical model in the presence of toxic prey under interval uncertainty. Sci Afr. 2023;21:e01837.

Paul S, Mahata A, Mukherjee S, Mali PC, Roy B. Study of fractional-order tri-trophic prey–predator model with fear effect on prey population. Adv Pure Math. 2022;12(11):652–675.

Group F: Delay, Diffusion & Bifurcation in Predator–Prey Systems

Ramesh K, et al. Study on a fractional-order delayed predator–prey model including prey refuge and type II functional response. PDE Appl Math. 2023;8:100555.

Rihan F, Alsakaji H, Rajivganthi C. Stability and Hopf bifurcation of three-species prey–predator system with time delays and Allee effect. Complexity. 2020;2020:1–15.

Rihan F, Lakshmanan S, Hashish A, Rakkiyappan R, Ahmed E. Fractional-order delayed predator–prey systems with Holling type-II functional response. Nonlinear Dyn. 2015;80:777–789.

Wang Q, Han R. Dynamics of fractional-order predator–prey models with refuge and Allee effect in prey: With and without time delay. Qual Theory Dyn Syst. 2024;24:49.

Zhang X, Xu X, Liu M. Global Hopf bifurcation and positive periodic solutions of a delayed diffusive predator–prey model with weak Allee effect for predator. Adv Contin Discrete Models. 2025;Article 19.

Group G: Recent Applied & Interdisciplinary Models

Dwivedi A, Verma S. Dynamical study of a fear-influenced fractional predator–prey model with disease spread. Eur Phys J Plus. 2025;140(4):306.

Dwivedi V. Enhancing pharmaceutical supply chains in health crises: Integrating fuzzy logic and particle swarm optimization. J Ind Manag Optim. 2025;21(3):2211–2239.

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Published

2026-02-03

How to Cite

Control of Marburg Virus Disease Spread in Humans under Hypersensitive Response through Fractal-Fractional . (2026). Journal of Mathematical Modeling and Fractional Calculus, 2(2), 62-99. https://doi.org/10.48165/jmmfc.2025.2205