基于分块法和盒码法的多准则病毒混检决策方法

Multi-criteria mixed virus detection decision method based on block method and box code method

  • 摘要: 目的 探讨在新型冠状病毒样本混合检测中,阳性样本存在性和普遍性问题的最优解决方案,为低风险群体的核酸筛查提供更为快捷有效的检测方案。方法 针对混检过程中不同阳性样本数情形下的时间要求、试剂盒数与最大检测样本数三者之间关系问题建立数学模型,分别从编码和非编码方式寻找最优检测方法。对是否存在阳性样本、单个阳性样本、多个阳性样本三种情形分别进行探究,并分析各情形下的检测试剂需求量。结果 显示阳性样本存在性和单阳性样本时盒码法检测样本效率高,多阳性样本时非编码方式中的最优分块法检测样本效率高。最优分块法在各类情形中的检测试剂需求量优于其他方法。结论 研究结果可直接应用于低密度感染人群,其中盒码法适用于检测资源充足、排查是否存在阳性样本情形;最优分块法适用于阳性样本较少、检测资源有限情形,同时满足混检技术大幅度提升情形,以60 696样本混检为例,可用于低于8.34%阳性率区域。研究内容适用于中低风险地区和部分高风险地区,对于低风险地区疫情初期检测资源不足、疫情中期区域排查、区域限时检测具有重要实用价值,同样适用于其他可进行混合检测的病毒样本。

     

    Abstract: OBJECTIVE To find out a optimal solution for existence and universality of positive samples in pooling sample assay for SARS-Cov-2 so as to provide a more effective and rapid detection method for nucleic acid screening of low-risk population. METHODS A mathematical model was built based on the relationship among time requirement, size of kits under the situation of different numbers of positive samples and maximum size of test sample during the pooling sample assay so as to seek the optimal test method from coding and non-coding method. Three circumstances including positive samples, single positive sample and multiple positive samples were explored, and the demanded quantity of test reagents was observed under the different circumstances. RESULTS The efficiency of box-marfa test method is higher when showing the existence of positive sample and single positive sample, and the efficiency of non-coding optimal block test method was higher when showing multiple positive samples. The demanded quantity of test reagents of the optimal block test method was superior to other methods. CONCLUSION The research result can be directly used for test of infection among low-density population, the box-marfa test method is suitable for situation of sufficient detection resources and checking out positive samples. The optimal block test method is suitable for situation of less positive samples and limited test resources as well as the situation of mixed test technique to be improved by a large margin. Taking the mixed test of 60 696 samples as an example, it can be used in a region with the positive rate less than 8.34%. The content of the research is suitable for low-risk and medium-risk regions and some of high-risk regions, it has significant application value in low-risk regions with insufficient test resources in initial stage of epidemic, regional screening in medium stage of epidemic and reginal time-limit test, and this method is also suitable for other virus samples for which mixed test can be carried out.

     

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