An investigation of a fractional Typhoid fever disease model using the homotopy decomposition method
سال انتشار: 1405
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 32
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شناسه ملی سند علمی:
JR_CMDE-14-4_021
تاریخ نمایه سازی: 18 مهر 1405
چکیده مقاله:
Typhoid fever remains a major public health threat on a global scale. It is mainly transmitted by contaminated food and water, particularly in places with poor sanitation. In this study, we develop a fractional-order mathematical model to investigate the transmission dynamics of typhoid fever using the Riemann–Liouville fractional derivative operator. The model is analyzed using the homotopy decomposition method (HDM) combined with the modified derivative \beta, which allows the incorporation of memory effects without requiring linearization, discretization, or restrictive assumptions, thus reducing computational complexity. The fixed-point theory (FPT) is used to prove the existence and uniqueness of a solution to the proposed model. MATLAB simulations are performed to graphically analyze the model’s behavior, demonstrating how fractional parameters influence disease progression. The novelty of the present study lies in the detailed analysis of the effects of various epidemiological parameters on the dynamics of the disease, which are effectively illustrated through comprehensive graphical results. The results offer valuable insights for designing effective disease control strategies and contribute to the advancement of fractional epidemiological modeling with potential applications in public health policy and clinical research.
کلیدواژه ها:
نویسندگان
Nisha Meena
Department of Mathematics, Jaipur National University, Jaipur, India.
Yoghesh Khandelwal
Department of Mathematics, Jaipur National University, Jaipur, India.
Lukesh Yadav
Department of Mathematics, Vivekananda Global University, Jaipur, India.
Murli Gour
Department of Mathematics, Vivekananda Global University, Jaipur, India.
Sunil Purohit
Department of HEAS (Mathematics), Rajasthan Technical University, Kota, India.