Publication:
Impact of predation in the spread of an infectious disease with time fractional derivative and social behavior

dc.contributor.authorSoufiane, Bentout
dc.contributor.authorGhanbari, Behzad
dc.contributor.authorDjilali, Salih
dc.contributor.authorGuin, Lakshmi Narayan
dc.contributor.institutionSoufiane, Bentout, Department of Mathematics and Computer Science, Université d'ain Témouchent, Belhadj Bouchaib, Ain Temouchent, Algeria, Laboratoire d'Analyse Non Linéaire et Mathématiques Appliquées, Université Abou Bekr Belkaid Tlemcen, Tlemcen, Algeria
dc.contributor.institutionGhanbari, Behzad, Department of Engineering Science, Kermanshah University of Technology, Kermanshah, Iran, Department of Biomedical Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey
dc.contributor.institutionDjilali, Salih, Laboratoire d'Analyse Non Linéaire et Mathématiques Appliquées, Université Abou Bekr Belkaid Tlemcen, Tlemcen, Algeria, Department of Mathematics, University Hassiba Benbouali - Chlef, Chlef, Algeria
dc.contributor.institutionGuin, Lakshmi Narayan,
dc.date.accessioned2025-10-05T15:31:23Z
dc.date.issued2021
dc.description.abstractThe main purpose of this paper is to explore the influence of predation on the spread of a disease developed in the prey population where we assume that the prey has a social behavior. The memory of the prey and the predator measured by the time fractional derivative plays a crucial role in modeling the dynamical response in a predator-prey interaction. This memory can be modeled to articulate the involvement of interacting species by the presence of the time fractional derivative in the considered models. For the purpose of studying the complex dynamics generated by the presence of infection and the time-fractional-derivative we split our study into two cases. The first one is devoted to study the effect of a non-selective hunting on the spread of the disease, where the local stability of the equilibria is investigated. Further the backward bifurcation is obtained concerning basic reproduction rate of the infection. The second case is for explaining the impact of selecting the weakest infected prey on the edge of the herd by a predator on the prevalence of the infection, where the local behavior is scrutinized. Moreover, for the graphical representation part, a numerical simulation scheme has been achieved using the Caputo fractional derivative operator. © 2021 Elsevier B.V., All rights reserved.
dc.identifier.doi10.1142/S1793962321500239
dc.identifier.issn17939623
dc.identifier.issn17939615
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85099537206
dc.identifier.urihttps://doi.org/10.1142/S1793962321500239
dc.identifier.urihttps://hdl.handle.net/20.500.14719/9526
dc.identifier.volume12
dc.language.isoen
dc.publisherWorld Scientific
dc.relation.sourceInternational Journal of Modeling, Simulation, and Scientific Computing
dc.subject.authorkeywordsBackward Bifurcation
dc.subject.authorkeywordsEco-epidemiological Model
dc.subject.authorkeywordsFractional Derivative
dc.subject.authorkeywordsHerd Behavior
dc.subject.authorkeywordsNumerical Schema
dc.subject.authorkeywordsPredator-prey Model
dc.subject.authorkeywordsDifferentiation (calculus)
dc.subject.authorkeywordsBackward Bifurcation
dc.subject.authorkeywordsCaputo Fractional Derivatives
dc.subject.authorkeywordsDynamical Response
dc.subject.authorkeywordsFractional Derivatives
dc.subject.authorkeywordsGraphical Representations
dc.subject.authorkeywordsInfectious Disease
dc.subject.authorkeywordsInteracting Species
dc.subject.authorkeywordsPredator-prey Interaction
dc.subject.authorkeywordsCell Proliferation
dc.subject.indexkeywordsDifferentiation (calculus)
dc.subject.indexkeywordsBackward bifurcation
dc.subject.indexkeywordsCaputo fractional derivatives
dc.subject.indexkeywordsDynamical response
dc.subject.indexkeywordsFractional derivatives
dc.subject.indexkeywordsGraphical representations
dc.subject.indexkeywordsInfectious disease
dc.subject.indexkeywordsInteracting species
dc.subject.indexkeywordsPredator-prey interaction
dc.subject.indexkeywordsCell proliferation
dc.titleImpact of predation in the spread of an infectious disease with time fractional derivative and social behavior
dc.typeArticle
dcterms.referencesLotka, Alfred J., Relation between birth rates and death rates, Science, 26, 653, pp. 21-22, (1907), Giornale Degli Economisti, (1901), Soufiane, Bentout, Global analysis of an infection age model with a class of nonlinear incidence rates, Journal of Mathematical Analysis and Applications, 434, 2, pp. 1211-1239, (2016), Soufiane, Bentout, Age-Structured Modeling of COVID-19 Epidemic in the USA, UAE and Algeria, Alexandria Engineering Journal, 60, 1, pp. 401-411, (2021), Boudjema, Ismail, Turing-Hopf bifurcation in Gauss-type model with cross diffusion and its application, Nonlinear Studies, 25, 3, pp. 665-687, (2018), Braza, Peter A., Predator-prey dynamics with square root functional responses, Nonlinear Analysis: Real World Applications, 13, 4, pp. 1837-1843, (2012), Cui, Jing'an, Saturation recovery leads to multiple endemic equilibria and backward bifurcation, Journal of Theoretical Biology, 254, 2, pp. 275-283, (2008), Djilali, Salih, Herd behavior in a predator–prey model with spatial diffusion: bifurcation analysis and Turing instability, Journal of Applied Mathematics and Computing, 58, 1-2, pp. 125-149, (2018), Djilali, Salih, A Heroin Epidemic Model: Very General Non Linear Incidence, Treat-Age, and Global Stability, Acta Applicandae Mathematicae, 152, 1, pp. 171-194, (2017), Djilali, Salih, Impact of prey herd shape on the predator-prey interaction, Chaos, Solitons and Fractals, 120, pp. 139-148, (2019)
dspace.entity.typePublication
local.indexed.atScopus
person.identifier.scopus-author-id57211413372
person.identifier.scopus-author-id35174751300
person.identifier.scopus-author-id57195245854
person.identifier.scopus-author-id54683973500

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