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Adaptive Group Testing Models for Infection Detection of COVID-19

机译:用于COVID-19感染检测的自适应群体测试模型

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Two adaptive group testing models are studied based on zero-error criterion in this paper. Firstly, for the single-stage group testing model, the analytical expression of optimal number of grouping members without integer constraints is given. Secondly, the optimal number of grouping members with integer constraints are given by numerical calculation. Finally, a grouping coefficient-based multistage model and the principles for selecting optimal grouping coefficient are proposed. The results of this paper can help medical institutions to improve group testing efficiency of infection detection of COVID-19.
机译:本文研究了两种基于零误差准则的自适应群体测试模型。首先,对于单阶段小组测试模型,给出了没有整数约束的最佳分组成员数量的解析表达式。其次,通过数值计算给出了具有整数约束的分组成员的最佳数量。最后,提出了一种基于分组系数的多级模型和最优分组系数的选择原则。本文的结果可以帮助医疗机构提高COVID-19感染检测的群体检测效率。

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