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Rich dynamics of a bidirectionally linked immuno-epidemiological model for cholera.
Yang, Junyuan; Jia, Peiqi; Wang, Jin; Jin, Zhen.
Afiliación
  • Yang J; Complex Systems Research Center, Shanxi University, Taiyuan, 030006, Shanxi, People's Republic of China. yjyang66@sxu.edu.cn.
  • Jia P; Shanxi Key Laboratory of Mathematical Techniques and Big Data Analysis on Disease Control and Prevention, Shanxi University, Taiyuan, 030006, People's Republic of China. yjyang66@sxu.edu.cn.
  • Wang J; Complex Systems Research Center, Shanxi University, Taiyuan, 030006, Shanxi, People's Republic of China.
  • Jin Z; Shanxi Key Laboratory of Mathematical Techniques and Big Data Analysis on Disease Control and Prevention, Shanxi University, Taiyuan, 030006, People's Republic of China.
J Math Biol ; 87(5): 71, 2023 10 17.
Article en En | MEDLINE | ID: mdl-37848667
ABSTRACT
Cholera is an environmentally driven disease where the human hosts both ingest the pathogen from polluted environment and shed the pathogen to the environment, generating a two-way feedback cycle. In this paper, we propose a bidirectionally linked immuno-epidemiological model to study the interaction of within- and between-host cholera dynamics. We conduct a rigorous analysis for this multiscale model, with a focus on the stability and bifurcation properties of each feasible equilibrium. We find that the parameter that represents the bidirectional connection is a key factor in shaping the rich dynamics of the system, including the occurrence of the backward bifurcation and Hopf bifurcation. Numerical results illustrate a practical application of our model and add new insight into the prevention and intervention of cholera epidemics.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Cólera / Epidemias Límite: Humans Idioma: En Revista: J Math Biol Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Cólera / Epidemias Límite: Humans Idioma: En Revista: J Math Biol Año: 2023 Tipo del documento: Article