Evidence map›Paper›PMID 39979382›Full record

ArticleScientific reports2025

Modeling the non-integer dynamics of a vector-borne infection with nonlocal and nonsingular kernel.

Nekmat Ullah, Zahir Shah, Rashid Jan, Narcisa Vrinceanu, Muhammad Farhan, Elisabeta Antonescu

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Nekmat UllahDepartment of Mathematical Sciences, University of Lakki Marwat, Lakki Marwat, KPK, 28420, Pakistan.
Zahir ShahDepartment of Mathematical Sciences, University of Lakki Marwat, Lakki Marwat, KPK, 28420, Pakistan. zahir@ulm.edu.pk.
Rashid JanInstitute of Energy Infrastructure (IEI), Department of Civil Engineering, College of Engineering, Universiti Tenaga Nasional (UNITEN), Putrajaya Campus, Jalan IKRAM-UNITEN, 43000, Kajang, Selangor, Malaysia.
Narcisa VrinceanuDepartment of Mathematics, College of Science, King Saud University, P.O. Box 2455, 11451, Riyadh, Saudi Arabia. vrinceanu.narcisai@ulbsibiu.ro.
Muhammad FarhanSchool of Mathematical Science, Yangzhou University, Yangzhou, 225002, China.
Elisabeta AntonescuPreclinical Department Faculty of Medicine, Lucian Blaga University of Sibiu, Sibiu, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vector-borne infections impose a significant burden on global health systems and economies due to their widespread impact and the substantial resources required for prevention, control, and treatment efforts. In this work, we formulate a mathematical model for the transmission dynamics of a vector-borne infection with the effect of vaccination through the Atangana-Baleanu derivative. The solutions of the model are positive and bounded for positive initial values of the state variable. We presented the basic concept and theory of fractional calculus for the analysis of the model. We determine the threshold parameter, denoted by [Formula: see text], using the next-generation matrix method. The local asymptotic stability of the system at the disease-free equilibrium is analyzed. To establish the existence of solutions for the proposed model, we employ fixed-point theory. A numerical scheme is developed to visualize the system's dynamical behavior under varying input parameters. Numerical simulations are conducted to illustrate how these parameters influence the dynamics of the system. The results highlight key factors affecting the transmission and control of vector-borne diseases, offering insights into strategies for prevention and mitigation.

Indexed as

Models, BiologicalModels, TheoreticalVector Borne DiseasesAnimalsComputer SimulationHumansExistence theoryFixed-point theoremFractional calculusMathematical modelNumerical analysisVector-borne infection

Identifiers

PMID39979382
PMCPMC11842821

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