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March 3, 2026
Rich dynamics and density function analysis of a hybrid stochastic predator-prey model with Logistic growth and SIS parasite infection
QW
Quan Wang
LZ
Li Zu
DJ
Daqing Jiang
Key Points
The novel model integrates logistic growth and SIS infection dynamics, leading to rich behaviors in population interactions.
Simulations show that the predator-prey dynamics can lead to stability or chaos under varying infection parameters.
The study employs a hybrid stochastic approach to simulate interactions, offering improved insights into ecological patterns.
The findings highlight the potential for ecological management strategies to consider infection impacts on species interactions.
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Wang et al. (Tue,) studied this question.
synapsesocial.com/papers/69a75a97c6e9836116a209ca
https://doi.org/https://doi.org/10.1007/s12346-026-01457-5
Rich dynamics and density function analysis of a hybrid stochastic predator-prey model with Logistic growth and SIS parasite infection | Synapse