Understanding Measles Contagion: A Fractional‐Order Model With Stability and Sensitivity Insights

In this paper, we propose an epidemiological mathematical model described by a system of nonlinear differential equations of fractional order (FODEs). Specifically, we employ the Caputo fractional derivative (CFD). Our analysis verifies the existence of a solution. Furthermore, we investigate the model’s global stability by analyzing the stability of the equilibrium points. Additionally, we calculate the basic reproduction number ( R 0 ) to assess the potential for measles transmission. In the numerical section, we perform a sensitivity analysis of the reproduction number, examining how changes in model parameters impact disease dynamics. Moreover, we employ a decision tree approach to investigate the impact of variations in ( ε ) and ( R 0 ) on disease outcomes.

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Publication Details

Journal
Journal of Mathematics
Published
2026-01-01
DOI
https://doi.org/10.1155/jom/5704852
Primary Topic
Fractional Differential Equations Solutions
Type
article
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article

Understanding Measles Contagion: A Fractional‐Order Model With Stability and Sensitivity Insights

Mahmoud H. DarAssi, Mamoon Ahmed, Yousef AbuHour
Journal of Mathematics
Fractional Differential Equations Solutions
article

Understanding Measles Contagion: A Fractional‐Order Model With Stability and Sensitivity Insights

Mahmoud H. DarAssi, Mamoon Ahmed, Yousef AbuHour
article en

Abstract

In this paper, we propose an epidemiological mathematical model described by a system of nonlinear differential equations of fractional order (FODEs). Specifically, we employ the Caputo fractional derivative (CFD). Our analysis verifies the existence of a solution. Furthermore, we investigate the model’s global stability by analyzing the stability of the equilibrium points. Additionally, we calculate the basic reproduction number ( R 0 ) to assess the potential for measles transmission. In the numerical section, we perform a sensitivity analysis of the reproduction number, examining how changes in model parameters impact disease dynamics. Moreover, we employ a decision tree approach to investigate the impact of variations in ( ε ) and ( R 0 ) on disease outcomes.

Journal of MathematicsVol. 2026(1)
Princess Sumaya University for Technology (JO)
Good health and well-being
Openalex Percentile: Top 95%
Fractional Differential Equations Solutions
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