论文标题
小组测试是COVID-19的流行病学监测的策略
Group testing as a strategy for the epidemiologic monitoring of COVID-19
论文作者
论文摘要
样品池在于将来自多个个体的样品组合到一个池中，然后使用唯一的测试套件进行测试。积极的测试意味着池中至少有一个人被感染。在这里，我们提出了样本合并到COVID-19的流行病学监测的分析和应用。我们首先引入了用于测试样品中病毒的RT-QPCR过程的模型，并在典型的受感染个体中构建了受Jones Et临床数据启发的典型感染个体中的统计模型。 al。 （2020）。然后，我们建议一种基于小组测试的人群中患病率的方法，考虑到与该方法相关的假否定因素的增加。最后，我们提出了样本集合在封闭的互联社区（例如疗养院）中预防流行病爆发的应用。
Sample pooling consists in combining samples from multiple individuals into a single pool that is then tested using a unique test-kit. A positive test means that at least one individual within the pool is infected. Here, we propose an analysis and applications of sample pooling to the epidemiologic monitoring of COVID-19. We first introduce a model of the RT-qPCR process used to test for the presence of virus in a sample and construct a statistical model for the viral load in a typical infected individual inspired by the clinical data from Jones et. al. (2020). We then propose a method for the measure of the prevalence in a population, based on group testing, taking into account the increased number of false negatives associated with this method. Finally, we present an application of sample pooling for the prevention of epidemic outbreak in closed connected communities (e.g. nursing homes).
