Group Testing for SARS-CoV-2 Allows for Up to 10-Fold Efficiency Increase Across Realistic Scenarios and Testing Strategies.

Group Testing for SARS-CoV-2 Allows for Up to 10-Fold Efficiency Increase Across Realistic Scenarios and Testing Strategies.
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DOI:
10.3389/fpubh.2021.583377
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发表时间:
2021
影响因子:
5.2
通讯作者:
Krahmer F
Krahmer F
中科院分区:
医学3区
文献类型:
--
作者:
Verdun CM;Fuchs T;Harar P;Elbrächter D;Fischer DS;Berner J;Grohs P;Theis FJ;Krahmer F

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背景资料:由于COVID-19疫情持续,对诊断检测的需求急剧增加,导致进行检测所需的材料短缺,检测实验室的能力不堪重负。供应不足和能力限制影响到检测管理:必须优先考虑住院患者和有症状的个人,这可能会妨碍识别无症状和症状前个人,从而妨碍有效的跟踪和追查政策。我们描述了适用于当前COVID-19大流行情况下SARS-CoV-2测试的优化组测试策略,并评估了与单独测试相比的显著收益。研究方法:我们在SARS-CoV-2样本稀释效应的背景下解释了生物化学现实的情况,并考虑了基于PCR的新型冠状病毒检测的特异性和灵敏度的证据。由于当前的不确定性以及流行状况的时间和空间变化,我们提供了对几种现实情况的分析,并为大规模检测程序提出了快速可靠的策略。主要发现:我们发现在SARS-CoV-2检测的现实场景中,不同的组检测策略之间存在显着的效率差距,强调需要根据估计的患病率,目标特异性和高风险与低风险人群对合并方案做出明智的决定。例如,如果假设感染率低于0.4%,则使用所提出的方法之一,仅使用约14.1万次测试就可以测试德国慕尼黑的所有147万居民。使用100万次检测,只要感染率不超过1%,巴西里约热内卢市的669万居民就可以接受检测。此外,我们提供了一个交互式的Web应用程序,可在www.group-testing.com,可视化不同的策略和设计汇集方案,根据特定的流行情况和测试配置。释义:总而言之,这项工作可能有助于为当前测试程序的有效升级提供基础,该测试程序考虑了群体异质性,并对所需的研究群体进行了细粒度的研究,例如,轻度/无症状个体与有症状个体,以及它们的混合物。资金来源:德国科学基金会(DFG)、德国联邦教育和研究部(BMBF)、Chan Zuckerberg Initiative基金会和奥地利科学基金会(FWF)。
Background: Due to the ongoing COVID-19 pandemic, demand for diagnostic testing has increased drastically, resulting in shortages of necessary materials to conduct the tests and overwhelming the capacity of testing laboratories. The supply scarcity and capacity limits affect test administration: priority must be given to hospitalized patients and symptomatic individuals, which can prevent the identification of asymptomatic and presymptomatic individuals and hence effective tracking and tracing policies. We describe optimized group testing strategies applicable to SARS-CoV-2 tests in scenarios tailored to the current COVID-19 pandemic and assess significant gains compared to individual testing. Methods: We account for biochemically realistic scenarios in the context of dilution effects on SARS-CoV-2 samples and consider evidence on specificity and sensitivity of PCR-based tests for the novel coronavirus. Because of the current uncertainty and the temporal and spatial changes in the prevalence regime, we provide analysis for several realistic scenarios and propose fast and reliable strategies for massive testing procedures. Key Findings: We find significant efficiency gaps between different group testing strategies in realistic scenarios for SARS-CoV-2 testing, highlighting the need for an informed decision of the pooling protocol depending on estimated prevalence, target specificity, and high- vs. low-risk population. For example, using one of the presented methods, all 1.47 million inhabitants of Munich, Germany, could be tested using only around 141 thousand tests if the infection rate is below 0.4% is assumed. Using 1 million tests, the 6.69 million inhabitants from the city of Rio de Janeiro, Brazil, could be tested as long as the infection rate does not exceed 1%. Moreover, we provide an interactive web application, available at www.group-testing.com, for visualizing the different strategies and designing pooling schemes according to specific prevalence scenarios and test configurations. Interpretation: Altogether, this work may help provide a basis for an efficient upscaling of current testing procedures, which takes the population heterogeneity into account and is fine-grained towards the desired study populations, e.g., mild/asymptomatic individuals vs. symptomatic ones but also mixtures thereof. Funding: German Science Foundation (DFG), German Federal Ministry of Education and Research (BMBF), Chan Zuckerberg Initiative DAF, and Austrian Science Fund (FWF).
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发表时间: 2019-01-01
影响因子: 2.4
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