Projects per year
Abstract
We propose a stochastic HCV model with protection awareness and exposed-acute-chronic phases in this study. First of all, we show that the stochastic HCV model admits a unique global positive solution for any given positive initial values. Then, we verify that HCV model has a unique stationary distribution under the sufficient criterion R0s>1, which indicates that HCV transmission undergoes the persistence in the long term. Furthermore, we derive the sufficient conditions for HCV extinction under the condition R0e<1. As a consequence, we derive the relationships among the stochastic persistence index R0s, the stochastic extinction index R0e and the threshold (the basic reproduction number R0) of the model without fluctuations. The condition R0>R0s>1 reveals that the existence of the white noises triggers the less stochastic persistence index. While, the condition R0<R0e<1 reveals that, when the intensities of the white noises are enhanced, the value R0e triggers the stochastic extinction.
Original language | English |
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Article number | 109356 |
Number of pages | 6 |
Journal | Applied Mathematics Letters |
Volume | 160 |
Early online date | 31 Oct 2024 |
DOIs | |
Publication status | Published - 28 Feb 2025 |
Funding
F. Wei was supported by Natural Science Foundation of Fujian Province of China (2021J01621). Z. Jin was supported by National Natural Science Foundation of China (12231012). X. Mao was supported by Royal Society of Edinburgh, United Kingdom (RSE1832) and Engineering and Physical Sciences Research Council, United Kingdom (EP/W522521/1).
Keywords
- extinction
- HCV
- protection awareness
- stationary distribution
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Dive into the research topics of 'Stationary distribution and extinction of an HCV transmission model with protection awareness and environmental fluctuations'. Together they form a unique fingerprint.Projects
- 1 Finished
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Maths Research Associates 2021 Strathclyde
MacKenzie, J. (Principal Investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/01/21 → 30/09/23
Project: Research