A Markovian switching diffusion for an Sirs epidemic model on complex network

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Analysis of SIRS epidemic dynamics in scale-free networks suggests disease extinction and persistence patterns.

The model demonstrates a unique global positive solution for any initial value, indicating stability amidst fluctuations.
Key result highlights include the extinction and persistence of the disease under specific conditions, shaping epidemic management strategies.
Analysis of regime switching dynamics reveals insightful asymptotic properties that could inform future epidemic responses.
Findings imply significant implications for public health, especially in understanding how diseases spread in complex networks.

Adil El Haitami (2025) studied this question.

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