Optimized Solution for Nucleic Acid Detection Based on Group Testing Model

Abstract

Under the critical situation of recurrent new crown outbreaks, large-scale full-scale nucleic acid testing has become the norm across the country. When the total number of people in a region is large and the infection rate is small, mixed testing can greatly improve testing efficiency and save costs compared with one-person testing. For the optimization of the mixed testing model, the Group Testing strategy is used to analyze the mixed testing method with the minimum number of tests, build a model and calculate the results with the help of Matlab, and finally obtain the optimal ratio of mixed testing in each region.