Existence and Sensitivity Analysis of a Caputo-Fabirizo Fractional Order Vector-Borne Disease model

In this study, we develop a mathematical model for vector-borne infections within a fractional-order framework, employing the Caputo-Fabrizio fractional derivative to enhance the analysis. The steady states of the system are examined, and the basic reproduction number $\mathcal{R}_0$ is derived using the next-generation matrix method. The existence and uniqueness of solutions are established through the application of the Banach fixed-point theorem. A detailed sensitivity analysis of $\mathcal{R}_0$ identifies the most critical parameters influencing the disease dynamics. Numerical simulations are performed to validate the theoretical findings and highlight key factors impacting the control and prevention of the infection. This work provides insights into the dynamics of vector-borne infections and offers a robust mathematical approach for optimizing intervention strategies.

Authors

Publication Details

Journal
European Journal of Pure and Applied Mathematics
Published
2025-05-01
DOI
https://doi.org/10.29020/nybg.ejpam.v18i2.5687
Citations
1
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
1.37

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article

Existence and Sensitivity Analysis of a Caputo-Fabirizo Fractional Order Vector-Borne Disease model

Zahir Shah, Rashid Jan, Narcisa Vrînceanu, Mansoor H. Alshehri et al.
1 citations
European Journal of Pure and Applied Mathematics
Fractional Differential Equations Solutions
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article

Existence and Sensitivity Analysis of a Caputo-Fabirizo Fractional Order Vector-Borne Disease model

Zahir Shah, Rashid Jan, Narcisa Vrînceanu, Mansoor H. Alshehri, Muhammad Farhan, Elisabeta Antonescu, Nekmat Ullah
article en
1 citations

Abstract

In this study, we develop a mathematical model for vector-borne infections within a fractional-order framework, employing the Caputo-Fabrizio fractional derivative to enhance the analysis. The steady states of the system are examined, and the basic reproduction number $\mathcal{R}_0$ is derived using the next-generation matrix method. The existence and uniqueness of solutions are established through the application of the Banach fixed-point theorem. A detailed sensitivity analysis of $\mathcal{R}_0$ identifies the most critical parameters influencing the disease dynamics. Numerical simulations are performed to validate the theoretical findings and highlight key factors impacting the control and prevention of the infection. This work provides insights into the dynamics of vector-borne infections and offers a robust mathematical approach for optimizing intervention strategies.

European Journal of Pure and Applied MathematicsVol. 18(2)
Universitatea "Lucian Blaga" din Sibiu
Openalex Percentile: Top 22%
Fractional Differential Equations Solutions
1.37
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