Abstract
We propose a stochastic SIR model with two different diseases cross-infection and immunization. The model incorporates the effects of stochasticity, cross-infection rate and immunization. By using stochastic analysis and Khasminski ergodicity theory, the existence and boundedness of the global positive solution about the epidemic model are firstly proved. Subsequently, we theoretically carry out the sufficient conditions of stochastic extinction and persistence of the diseases. Thirdly, the existence of ergodic stationary distribution is proved. The results reveal that white noise can affect the dynamics of the system significantly. Finally, the numerical simulation is made and consistent with the theoretical results.
| Original language | English |
|---|---|
| Pages (from-to) | 740-765 |
| Number of pages | 26 |
| Journal | Nonlinear Analysis: Modelling and Control |
| Volume | 27 |
| Issue number | 4 |
| DOIs | |
| State | Published - 1 Jul 2022 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Keywords
- disease cross-infection
- ergodic stationary distribution
- nonlinear incidence rates
- persistence in mean
- stochastic SIR model
Fingerprint
Dive into the research topics of 'Modeling and analysis of SIR epidemic dynamics in immunization and cross-infection environments: Insights from a stochastic model*'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver