Important experimental parameters for determining infection rates in arthropod vectors using pool screening approaches
Important experimental parameters for determining infection rates in arthropod vectors using pool screening approaches
复制标题
DOI：
10.4269/ajtmh.2006.74.779
复制
发表时间：
2006-05-01
影响因子：
3.3
通讯作者：
Unnasch, Thomas R.
中科院分区：
文献类型：
--
作者：
Katholi, Charles R.;Unnasch, Thomas R.
测量媒介传播感染的传播对于了解感染动态至关重要。当媒介群体的感染率较低时，通常通过池筛查（也称为群体测试）来测量传播情况。一些研究人员已经开发出了统计方法，可以从池筛查数据中恢复感染流行率估计值。这些都是基于包含某些假设的模型，如果要获得感染流行率的准确估计，就必须设计一种池筛查方法来考虑这些因素。在这里，我们描述这些假设并讨论适当的采样协议。描述了合并筛选中固有的误差来源，并且我们表明，在大多数希望使用分组测试的情况下，大多数误差来自抽样而不是合并过程。探讨了制定采样方案所涉及的问题，包括要筛查的昆虫总数和最佳池大小。讨论了与患病率估计相关的置信区间的含义以及这些区间的适当解释。
Measuring transmission of a vector-borne infection is essential to understanding infection dynamics. When infection prevalence in the vector population is low, transmission is often measured by pool screening (also referred to as group testing). Several investigators have developed statistical methods to recover infection prevalence estimates from pool screen data. These are based on models that contain certain assumptions, and a pool screening approach must be designed to take these into account if accurate estimates of infection prevalence are to be obtained. Here we describe these assumptions and discuss appropriate sampling protocols. The sources of error inherent in pool screening are described, and we show that, under most conditions in which one Would want to use group testing, most of the error results from sampling and not the pooling process. Issues involved in developing a sampling protocol, including the total number of insects to be screened and optimal pool size, are explored. The meaning of confidence intervals associated with prevalence estimates and the appropriate interpretation of these intervals are discussed.