Abstract
A functional differential model of SEIS-M type with two time delays, representing the response time for mass media to cover the current infection and for individuals’ behavior changes to media coverage, was proposed to examine the delayed media impact on the transmission dynamics of emergent infectious diseases. The threshold dynamics were established in terms of the basic reproduction number R. When there are no time delays, we showed that if the media impact is low, the endemic equilibrium is globally asymptotically stable for R> 1 , while the endemic equilibrium may become unstable and Hopf bifurcation occurs for some appropriate conditions by taking the level of media impact as bifurcation parameter. With two time delays, we comprehensively investigated the local and global bifurcation by considering the summation of delays as a bifurcation parameter, and theoretically and numerically examined the onset and termination of Hopf bifurcations from the endemic equilibrium. Main results show that either the media described feedback cycle, from infection to the level of mass media and back to disease incidence, or time delays can induce Hopf bifurcation and result in periodic oscillations. The findings indicate that the delayed media impact leads to a richer dynamics that may significantly affect the disease infections.
| Original language | English |
|---|---|
| Pages (from-to) | 1582-1612 |
| Number of pages | 31 |
| Journal | Bulletin of Mathematical Biology |
| Volume | 81 |
| Issue number | 5 |
| DOIs | |
| State | Published - 15 May 2019 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Functional differential model
- Global Hopf bifurcation
- Media impact
- Time delays
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