David Zhou
Computer science
Hometown: Tempe, Arizona, United States
Graduation date: Spring 2022
FURI | Spring 2021
A Systematic Study of Pooled Testing Procedures for SARS-CoV-2
Testing is an invaluable method used to monitor and limit the spread of COVID-19. However, global shortages of reagents and instruments make it difficult to perform routine high-volume testing. Studies have shown that pooled (group) testing is an effective way of reducing the number of tests needed to diagnose a population. This study compares the strengths and weaknesses of various pooling algorithms and numerically identifies their optimal parameters for the largest possible reduction of tests. Additionally, the study proposes the best pooling strategies for populations within Arizona.
Mentor: Huan Liu
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