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具有两个时滞的SEIRS传染病模型分析

Analysis of an SEIRS epidemic model with two delays.

作者信息

Cooke K L, van den Driessche P

机构信息

Pomona College, Claremont, CA 91711-6348, USA.

出版信息

J Math Biol. 1996 Dec;35(2):240-60. doi: 10.1007/s002850050051.

Abstract

A disease transmission model of SEIRS type with exponential demographic structure is formulated. All newborns are assumed susceptible, there is a natural death rate constant, and an excess death rate constant for infective individuals. Latent and immune periods are assumed to be constants, and the force of infection is assumed to be of the standard form, namely proportional to I(t)/N(t) where N(t) is the total (variable) population size and I(t) is the size of the infective population. The model consists of a set of integro-differential equations. Stability of the disease free proportion equilibrium, and existence, uniqueness, and stability of an endemic proportion equilibrium, are investigated. The stability results are stated in terms of a key threshold parameter. More detailed analyses are given for two cases, the SEIS model (with no immune period), and the SIRS model (with no latent period). Several threshold parameters quantify the two ways that the disease can be controlled, by forcing the number or the proportion of infectives to zero.

摘要

构建了一个具有指数人口结构的SEIRS型疾病传播模型。假设所有新生儿均易感,存在一个自然死亡率常数以及感染个体的超额死亡率常数。潜伏和免疫期假定为常数,感染率假定为标准形式,即与I(t)/N(t)成正比,其中N(t)是总人口规模(可变),I(t)是感染人群规模。该模型由一组积分 - 微分方程组成。研究了无病比例平衡点的稳定性以及地方病比例平衡点的存在性、唯一性和稳定性。稳定性结果通过一个关键阈值参数来表述。针对两种情况给出了更详细的分析,即SEIS模型(无免疫期)和SIRS模型(无潜伏期)。几个阈值参数量化了通过将感染个体数量或比例强制为零来控制疾病的两种方式。

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