一类具有非线性发生率的SEIR传染病模型的全局稳定性分析

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  • School of Science,Xi’an Polytechnic University
JIA Ying(1990-), female, native of Hanzhong, Shannxi, a graduate student of Xi'an Polytechnic University, engages in differential equation and its application; LIU Jun-li(1981-), female, native of Puyang, Henan, an associate professor of Xi'an Polytechnic University, Ph.D., engages in biomathematics.

收稿日期: 2015-04-19

  网络出版日期: 2020-11-04

基金资助

Supported by the National Natural Science Foundation of China(11101323); Supported by the Natural Science Basic Research Plan in Shaanxi Province of China(2014JQ1038); Supported by the Xi’an Polytechnic University Innovation Fund for Graduate

Students(CX201608);

Global Analysis of an SEIR Epidemic Model with Nonlinear Incidence Rates

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  • School of Science,Xi’an Polytechnic University
JIA Ying(1990-), female, native of Hanzhong, Shannxi, a graduate student of Xi'an Polytechnic University, engages in differential equation and its application; LIU Jun-li(1981-), female, native of Puyang, Henan, an associate professor of Xi'an Polytechnic University, Ph.D., engages in biomathematics.

Received date: 2015-04-19

  Online published: 2020-11-04

Supported by

Supported by the National Natural Science Foundation of China(11101323); Supported by the Natural Science Basic Research Plan in Shaanxi Province of China(2014JQ1038); Supported by the Xi’an Polytechnic University Innovation Fund for Graduate Students(CX201608);

摘要

In this paper,an SEIR model with nonlinear incidence rates are studied.The basic reproduction number R0 characterizes the disease transmission dynamics: if R0≤ 1,the disease-free equilibrium is globally asymptotically stable and the disease always dies out,if R0> 1 then there is a unique endemic equilibrium which is globally asymptotically stable and the disease persists. 

本文引用格式

贾滢, 刘俊利 . 一类具有非线性发生率的SEIR传染病模型的全局稳定性分析[J]. 数学季刊, 2016 , 31(3) : 237 -247 . DOI: 10.13371/j.cnki.chin.q.j.m.2016.03.002

Abstract

In this paper,an SEIR model with nonlinear incidence rates are studied.The basic reproduction number R0 characterizes the disease transmission dynamics: if R0≤ 1,the disease-free equilibrium is globally asymptotically stable and the disease always dies out,if R0> 1 then there is a unique endemic equilibrium which is globally asymptotically stable and the disease persists. 
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