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• W3115766044 abstract "We investigate a non-smooth stochastic epidemic model with consideration of the alerts from media and social network. Environmental uncertainty and political bias are the stochastic drivers in our mathematical model. We aim at the interfere measures assuming that a disease has already invaded into a population. Fundamental findings include that the media alert and social network alert are able to mitigate an infection. It is also shown that interfere measures and environmental noise can drive the stochastic trajectories frequently to switch between lower and higher level of infections. By constructing the confidence ellipse for each endemic equilibrium, we can estimate the tipping value of the noise intensity that causes the state switching." @default.
• W3115766044 created "2021-01-05" @default.
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• W3115766044 date "2021-01-01" @default.
• W3115766044 modified "2023-09-27" @default.
• W3115766044 title "Noise-induced transitions in a non-smooth SIS epidemic model with media alert" @default.
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• W3115766044 doi "https://doi.org/10.3934/mbe.2021040" @default.
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• W3115766044 hasPublicationYear "2021" @default.
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