Your browser doesn't support javascript.
loading
Threshold behaviour of a stochastic SIRS Le´vy jump model with saturated incidence and vaccination.
Zhu, Yu; Wang, Liang; Qiu, Zhipeng.
Afiliação
  • Zhu Y; School of Mathematics and Statistics, Nanjing University of Science and Technology, Nanjing 210094, China.
  • Wang L; School of Mathematics and Statistics, Nanjing University of Science and Technology, Nanjing 210094, China.
  • Qiu Z; Interdisciplinary Center for Fundamental and Frontier Sciences, Nanjing University of Science and Technology, Jiangyin 214443, China.
Math Biosci Eng ; 20(1): 1402-1419, 2023 01.
Article em En | MEDLINE | ID: mdl-36650816
A stochastic SIRS system with $ \mathrm {L\acute{e}vy} $ process is formulated in this paper, and the model incorporates the saturated incidence and vaccination strategies. Due to the introduction of $ \mathrm {L\acute{e}vy} $ jump, the jump stochastic integral process is a discontinuous martingale. Then the Kunita's inequality is used to estimate the asymptotic pathwise of the solution for the proposed model, instead of Burkholder-Davis-Gundy inequality which is suitable for continuous martingales. The basic reproduction number $ R_{0}^{s} $ of the system is also derived, and the sufficient conditions are provided for the persistence and extinction of SIRS disease. In addition, the numerical simulations are carried out to illustrate the theoretical results. Theoretical and numerical results both show that $ \mathrm {L\acute{e}vy} $ process can suppress the outbreak of the disease.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Síndrome de Resposta Inflamatória Sistêmica / Modelos Biológicos Tipo de estudo: Incidence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Síndrome de Resposta Inflamatória Sistêmica / Modelos Biológicos Tipo de estudo: Incidence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article