论文标题
AC-DC：COVID-19组测试的放大曲线诊断
AC-DC: Amplification Curve Diagnostics for Covid-19 Group Testing
论文作者
论文摘要
本文的第一部分介绍了COVID-19，实时，逆转录酶PCR的金标准测试方案及其属性和相关的测量数据，例如可以指导适当且准确的自适应组测试协议的扩增曲线。本文的第二部分涉及研究Covid-19的各种现成的组测试方法，并确定其目前应用的优势和缺点。本文的第三部分包含一系列新的分析结果，用于具有概率和组合先验的自适应半定量组测试，包括性能界限，算法解决方案和嘈杂的测试协议。概率设置至关重要，因为它旨在简单地由非塞子实现并处理重型击球手。最差的范围范式扩展并改善了在有或没有专门PCR噪声模型的半定量组测试上的先前工作。
The first part of the paper presents a review of the gold-standard testing protocol for Covid-19, real-time, reverse transcriptase PCR, and its properties and associated measurement data such as amplification curves that can guide the development of appropriate and accurate adaptive group testing protocols. The second part of the paper is concerned with examining various off-the-shelf group testing methods for Covid-19 and identifying their strengths and weaknesses for the application at hand. The third part of the paper contains a collection of new analytical results for adaptive semiquantitative group testing with probabilistic and combinatorial priors, including performance bounds, algorithmic solutions, and noisy testing protocols. The probabilistic setting is of special importance as it is designed to be simple to implement by nonexperts and handle heavy hitters. The worst-case paradigm extends and improves upon prior work on semiquantitative group testing with and without specialized PCR noise models.
