Stone Patricia, Wilkinson-Herbots Hilde, Isham Valerie
Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK.
J Math Biol. 2008 Jun;56(6):743-63. doi: 10.1007/s00285-007-0136-0. Epub 2007 Oct 18.
We investigate the dynamics of head lice infections in schools, by considering a model for endemic infection based on a stochastic SIS (susceptible-infected-susceptible) epidemic model, with the addition of an external source of infection. We deduce a range of properties of our model, including the length of a single outbreak of infection. We use the stationary distribution of the number of infected individuals, in conjunction with data from a recent study carried out in Welsh schools on the prevalence of head lice infections, and employ maximum likelihood methods to obtain estimates of the model parameters. A complication is that, for each school, only a sample of the pupils was checked for infection. Our likelihood function takes account of the missing data by incorporating a hypergeometric sampling element. We arrive at estimates of the ratios of the "within school" and "external source" transmission rates to the recovery rate and use these to obtain estimates for various quantities of interest.
我们通过考虑一个基于随机易感-感染-易感(SIS)流行病模型的地方性感染模型,并添加外部感染源,来研究学校中头虱感染的动态情况。我们推导了模型的一系列性质,包括单次感染爆发的时长。我们结合威尔士学校近期关于头虱感染患病率的一项研究数据,使用感染个体数量的平稳分布,并采用最大似然法来获取模型参数的估计值。一个复杂之处在于,对于每所学校,仅对部分学生样本进行了感染检查。我们的似然函数通过纳入超几何抽样元素来考虑缺失数据。我们得出了“校内”和“外部感染源”传播率与恢复率的比率估计值,并利用这些估计值来获取各种感兴趣量的估计值。