Department of Mathematics and Statistics, The Open University, Milton Keynes MK7 6AA, UK.
Biostatistics. 2013 Jul;14(3):528-40. doi: 10.1093/biostatistics/kxs054. Epub 2012 Dec 23.
The basic reproduction number of an infection in a given population, R0, is inflated by individual heterogeneity in contact rates. Recently, new methods for estimating R0 using social contact data and serological survey data have been proposed. These methods, like most of their predecessors, ignore individual heterogeneity, and are sensitive to perturbation of the contact function. Using a frailty framework, we derive expressions for R0 in the presence of age-varying heterogeneity. In this case, R0 is the spectral radius of a population version of the next generation operator, which involves the variance function of the age-dependent frailty. This variance can be estimated within a shared frailty framework from paired data on two infections transmitted by the same route. We propose two estimators of R0 for infections in endemic equilibrium. We investigate their performance by simulation, and find that one is generally less efficient but more robust than the other to perturbation of the effective contact function. These methods are applied to data on varicella zoster virus infection from two European countries.
在给定人群中,传染病的基本繁殖数 R0 会因接触率的个体异质性而膨胀。最近,已经提出了使用社会接触数据和血清学调查数据估计 R0 的新方法。这些方法与大多数前辈一样,忽略了个体异质性,并且对接触函数的干扰很敏感。使用脆弱性框架,我们推导出了在存在年龄相关异质性的情况下 R0 的表达式。在这种情况下,R0 是下一代算子的种群版本的谱半径,该算子涉及与年龄相关的脆弱性的方差函数。可以从通过同一途径传播的两种感染的配对数据中,在共享脆弱性框架内对该方差进行估计。我们为流行平衡中的传染病提出了两个 R0 的估计量。我们通过模拟研究了它们的性能,发现一个通常比另一个对有效接触函数的干扰更有效率但更稳健。这些方法应用于来自两个欧洲国家的带状疱疹病毒感染数据。