基于概率统计角度分析核酸检测分组问题
The Grouping Problem of Nucleic Acid Detection Was Analyzed Based on Probability Statistics
DOI: 10.12677/AAM.2022.118626, PDF,   
作者: 李 俏:辽宁师范大学数学学院,辽宁 大连
关键词: 核酸检测最佳分组概率统计Nucleic Acid Detection Optimal Grouping Probability Statistics
摘要: 进入2022年,新型冠状病毒仍在我国肆虐,各地区核酸检测已经常态化。本文基于我国人口众多的基本国情,将从概率统计的角度分析在大规模核酸检测中应该如何确定混检人数问题。对各地区实际情况进行数据整理,统计分析,建立数学模型,提出了核酸检测分组问题的最佳解决方案。
Abstract: Entering 2022, the new coronavirus is still raging in my country, and nucleic acid testing in various regions has been normalized. Based on the basic national conditions of my country’s large popula-tion, this article will analyze how to determine the number of mixed tests in large-scale nucleic acid testing from the perspective of probability and statistics. Data sorting, statistical analysis, and mathematical model establishment were carried out on the actual situation of each region, and the best solution to the problem of nucleic acid detection grouping was proposed.
文章引用:李俏. 基于概率统计角度分析核酸检测分组问题[J]. 应用数学进展, 2022, 11(8): 5951-5955. https://doi.org/10.12677/AAM.2022.118626

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