Asymmetric information and epidemic coupled dynamics regulated by heterogeneous dynamic behaviors in multilayer networks

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Epidemic spreading can be significantly influenced by risk perception and awareness in multilayer networks.
Theoretical analysis shows infection risk is affected by both individual behaviors and epidemic dynamics.
Microscopic Markov chain approach was used to determine key epidemic thresholds in this coupled model.
Findings highlight the importance of risk perception in controlling infection spread under heterogeneous behaviors.

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The model reveals how epidemic spreading and risk perception interact, indicating infection risk can be managed through awareness.

Xu et al. (2025) studied this question.

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