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检测特征和人群血清流行率对“免疫护照”策略的影响。

Implications of Test Characteristics and Population Seroprevalence on "Immune Passport" Strategies.

机构信息

Department of Computer Science and BioFrontiers Institute, University of Colorado Boulder, Boulder, Colorado, USA.

Department of Applied Mathematics and IQBiology Program, University of Colorado Boulder, Boulder, Colorado, USA.

出版信息

Clin Infect Dis. 2021 May 4;72(9):e412-e414. doi: 10.1093/cid/ciaa1019.

Abstract

Various forms of "immune passports" or "antibody certificates" are being considered in conversations around reopening economies after periods of social distancing. A critique of such programs focuses on the uncertainty around whether seropositivity means immunity from repeat infection. However, an additional important consideration is that the low positive predictive value of serological tests in the setting of low population seroprevalence and imperfect test specificity will lead to many false-positive passport holders. Here, we pose a simple question: how many false-positive passports could be issued while maintaining herd immunity in the workforce? Answering this question leads to a simple mathematical formula for the minimum requirements of serological tests for a passport program, which depend on the population prevalence and the value of the basic reproductive number, R0. Our work replaces speculation in the press with rigorous analysis, and will need to be considered in policy decisions that are based on individual and population serology results.

摘要

在社交隔离期结束后,经济重新开放的讨论中,人们正在考虑各种形式的“免疫护照”或“抗体证书”。对这类项目的批评主要集中在血清阳性是否意味着可以免受重复感染这一不确定性上。然而,另一个重要的考虑因素是,在人群血清流行率低和检测特异性不完善的情况下,血清学检测的阳性预测值较低,这将导致许多假阳性护照持有者。在这里,我们提出一个简单的问题:在保持劳动力群体免疫的情况下,可以签发多少张假阳性护照?回答这个问题会得出一个简单的数学公式,用于确定护照计划中血清学检测的最低要求,这取决于人群流行率和基本繁殖数 R0 的值。我们的工作用严格的分析取代了新闻中的猜测,这将需要在基于个体和人群血清学结果的政策决策中加以考虑。

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