Ma Junling, van den Driessche P, Willeboordse Frederick H
Department of Mathematics and Statistics, University of Victoria, Victoria, BC, V8W 3R4, Canada.
J Math Biol. 2013 Jan;66(1-2):75-94. doi: 10.1007/s00285-011-0502-9. Epub 2012 Jan 18.
An ordinary differential equation (ODE) epidemiological model for the spread of a disease that confers immunity, such as influenza, is introduced incorporating both network topology and households. Since most individuals of a susceptible population are members of a household, including the household structure as an aspect of the contact network in the population is of significant interest. Epidemic curves derived from the model are compared with those from stochastic simulations, and shown to be in excellent agreement. Expressions for disease threshold parameters of the ODE model are derived analytically and interpreted in terms of the household structure. It is shown that the inclusion of households can slow down or speed up the disease dynamics, depending on the variance of the inter-household degree distribution. This model illustrates how households (clusters) can affect disease dynamics in a complicated way.
引入了一个常微分方程(ODE)流行病学模型,用于描述诸如流感等能产生免疫力的疾病的传播,该模型同时纳入了网络拓扑结构和家庭因素。由于易感人群中的大多数个体都是家庭成员,因此将家庭结构作为人群接触网络的一个方面来考虑具有重要意义。将该模型得出的流行曲线与随机模拟得出的曲线进行比较,结果显示二者高度吻合。通过解析推导得出了ODE模型疾病阈值参数的表达式,并根据家庭结构对其进行了解释。结果表明,家庭因素的纳入可能会减缓或加速疾病动态传播,这取决于家庭间度分布的方差。该模型说明了家庭(集群)如何以复杂的方式影响疾病动态传播。