Abstract
OBJECTIVES: Pooling can reduce reverse transcriptase polymerase chain reaction (RT-PCR) tests during the coronavirus disease-19 (COVID-19) pandemic. Pooling strategy is a complex issue. Recent advances in computer science may provide a better strategy. MATERIALS AND METHODS: We developed our algorithm which can help healthcare workers set up their pooling policy during the COVID-19 pandemic. RESULTS: Comparing with three other strategies, naming single pooling, array pooling, and hypercube pooling, our multiple pooling shows to be the best with minimal RT-PCR tests per patient. CONCLUSION: We hope clinicians in COVID-19 pandemic regions can use our algorithm to reduce both RT-PCR tests and time and hence save more lives.