Université Grenoble Alpes, CNRS, Grenoble INP, LJK, Grenoble, France.
Université Sorbonne Paris Nord, LAGA, UMR 7539, Villetaneuse, France.
PLoS Comput Biol. 2021 Mar 4;17(3):e1008726. doi: 10.1371/journal.pcbi.1008726. eCollection 2021 Mar.
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 large-scale clinical datasets. We present an application of group testing for the prevention of epidemic outbreak in closed connected communities. We then propose a method for the measure of the prevalence in a population taking into account the increased number of false negatives associated with the group testing method.
我们提出了一种对 COVID-19 进行流行病学监测的样本汇集分析和应用。我们首先介绍了一种用于检测样本中病毒存在的 RT-qPCR 过程模型,并根据大规模临床数据集构建了一个受感染者病毒载量的统计模型。我们展示了群体检测在封闭的互联社区中预防传染病爆发的应用。然后,我们提出了一种考虑到与群体检测方法相关的假阴性增加的人群流行率的测量方法。