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Dynamics of an SEIR model with media coverage mediated nonlinear infectious force.
Xie, Jingli; Guo, Hongli; Zhang, Meiyang.
Afiliación
  • Xie J; College of Mathematics and Statistics, Jishou University, Jishou, Hunan 416000, China.
  • Guo H; College of Mathematics and Statistics, Jishou University, Jishou, Hunan 416000, China.
  • Zhang M; College of Mathematics and Statistics, Jishou University, Jishou, Hunan 416000, China.
Math Biosci Eng ; 20(8): 14616-14633, 2023 Jul 05.
Article en En | MEDLINE | ID: mdl-37679151
ABSTRACT
Media coverage can greatly impact the spread of infectious diseases. Taking into consideration the impacts of media coverage, we propose an SEIR model with a media coverage mediated nonlinear infection force. For this novel disease model, we identify the basic reproduction number using the next generation matrix method and establish the global threshold

results:

If the basic reproduction number $ \mathcal{R}_{0} < 1 $, then the disease-free equilibrium $ P_{0} $ is stable, and the disease dies out. If $ \mathcal{R}_{0} > 1 $, then the endemic equilibrium $ P^{*} $ is stable, and the disease persists. Sensitivity analysis indicates that the basic reproduction number $ \mathcal{R}_{0} $ is most sensitive to the population recruitment rate $ \Lambda $ and the disease transmission rate $ \beta _{1} $.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Math Biosci Eng Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Math Biosci Eng Año: 2023 Tipo del documento: Article País de afiliación: China
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