TY - JOUR
T1 - Rich dynamics in a delayed water borne pathogen model with overexposure
AU - Xu, Jinhu
AU - Xiao, Yanni
AU - Sun, Xiaodan
N1 - Publisher Copyright:
© 2025 Elsevier Inc.
PY - 2025/12
Y1 - 2025/12
N2 - In this paper, we formulate a delayed water borne pathogen model incorporating overexposure, investigate threshold dynamics, and analyze the impact of overexposure and delay on disease transmission. Threshold dynamics are characterized by the basic reproduction number R 0 . The model exhibits backward bifurcation, where a stable disease-free equilibrium coexists with a stable endemic equilibrium for R 0 values below 1, indicating that the disease may persist even when R 0 < 1 . Furthermore, we theoretically and numerically examined the existence of Hopf bifurcation in absence of time delay and the results reveal that the overexposure induces rich dynamics, including stability switches, endemic bubble and multiple limits cycles. For the delayed model, by regarding time delay as the bifurcation parameter, the local and global Hopf bifurcation have been carried out to show influence of time delay on model dynamics. Numerical simulations confirm that delay induces stability switches and coexistence of multiple periodic solutions. Our findings indicate that overexposure and time delay are responsible for the model’s complex dynamics, complicating disease control efforts.
AB - In this paper, we formulate a delayed water borne pathogen model incorporating overexposure, investigate threshold dynamics, and analyze the impact of overexposure and delay on disease transmission. Threshold dynamics are characterized by the basic reproduction number R 0 . The model exhibits backward bifurcation, where a stable disease-free equilibrium coexists with a stable endemic equilibrium for R 0 values below 1, indicating that the disease may persist even when R 0 < 1 . Furthermore, we theoretically and numerically examined the existence of Hopf bifurcation in absence of time delay and the results reveal that the overexposure induces rich dynamics, including stability switches, endemic bubble and multiple limits cycles. For the delayed model, by regarding time delay as the bifurcation parameter, the local and global Hopf bifurcation have been carried out to show influence of time delay on model dynamics. Numerical simulations confirm that delay induces stability switches and coexistence of multiple periodic solutions. Our findings indicate that overexposure and time delay are responsible for the model’s complex dynamics, complicating disease control efforts.
KW - Backward bifurcation
KW - Hopf bifurcation
KW - Overexposure
KW - Time delay
KW - Water borne pathogen
UR - https://www.scopus.com/pages/publications/105021085491
U2 - 10.1016/j.mbs.2025.109564
DO - 10.1016/j.mbs.2025.109564
M3 - 文章
C2 - 41173092
AN - SCOPUS:105021085491
SN - 0025-5564
VL - 390
JO - Mathematical Biosciences
JF - Mathematical Biosciences
M1 - 109564
ER -