TY - JOUR
T1 - Existence, Stability and Sensitivity Analysis of Lyme Disease Using Caputo Fractional Dynamical Systems
AU - Ullah, Kashif
AU - Mehmood, Nayyar
AU - Al-Mazrooei, Abdullah Eqal
AU - Ahmad, Jamshaid
N1 - Publisher Copyright:
© 2025 by the authors.
PY - 2025/12
Y1 - 2025/12
N2 - In this article, mathematical modeling and stability analysis of Lyme disease and its transmission dynamics using Caputo fractional-order derivatives is presented. The compartmental model has been formulated to analyze the spread of Borrelia burgdorferi virus through tick vectors and mammalian hosts. The feasible region is established, and the boundedness of the model is verified. Analytically, the disease-free equilibrium and the basic reproduction number (Formula presented.) has been determined to assess outbreak potential. By virtue of the fixed-point theory, the existence and uniqueness of solutions has been established. The numerical simulations are obtained via the Runge–Kutta 4 method, demonstrating the model’s ability to capture realistic disease progression. Finally, sensitivity analysis and control strategies (tick population reduction, host vaccination, public awareness, and early treatment) are evaluated, revealing that integrated control measures significantly reduce infection rates and enhance recovery.
AB - In this article, mathematical modeling and stability analysis of Lyme disease and its transmission dynamics using Caputo fractional-order derivatives is presented. The compartmental model has been formulated to analyze the spread of Borrelia burgdorferi virus through tick vectors and mammalian hosts. The feasible region is established, and the boundedness of the model is verified. Analytically, the disease-free equilibrium and the basic reproduction number (Formula presented.) has been determined to assess outbreak potential. By virtue of the fixed-point theory, the existence and uniqueness of solutions has been established. The numerical simulations are obtained via the Runge–Kutta 4 method, demonstrating the model’s ability to capture realistic disease progression. Finally, sensitivity analysis and control strategies (tick population reduction, host vaccination, public awareness, and early treatment) are evaluated, revealing that integrated control measures significantly reduce infection rates and enhance recovery.
KW - Lyme disease
KW - dynamical systems
KW - fractional derivative
KW - local stability
KW - numerical simulations
KW - sensitivity analysis
UR - https://www.scopus.com/pages/publications/105026781118
U2 - 10.3390/fractalfract9120796
DO - 10.3390/fractalfract9120796
M3 - Article
AN - SCOPUS:105026781118
SN - 2504-3110
VL - 9
JO - Fractal and Fractional
JF - Fractal and Fractional
IS - 12
M1 - 796
ER -