Mathematical models are increasingly used to predict the behaviours of molecular circuits. Among them, it is of great interest to understand how associative learning is formed at the molecular circuit level. In particular, the design and study of gene regulatory networks in vitro, in vivo, and in silico have played an increasingly indispensable role in understanding and controlling biological phenomena. The development of synthetic biology has enabled massive progress in biotechnology and in approaching research questions from a brand-new perspective.
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BinaxNOW has high accuracy among symptomatic individuals and is below the FDA threshold for emergency use authorization in asymptomatic individuals. Specificity was greater than 99% for all groups. Sensitivity was 82% (95% CI 66%, 91%) for asymptomatic individuals with potential exposure and 64% (95% CI 51%, 76%) for those with no exposure. It was higher in symptomatic (87% 95% CI 80%, 91%) than asymptomatic (71% 95% CI 61%, 80%) individuals. Overall test sensitivity compared with reference laboratory reverse-transcription PCR testing was 81% (95% confidence interval 75%, 86%). Most (89%) were asymptomatic, of whom 17% reported potential exposure.
Participants were grouped by self-reported COVID-19 exposure and symptom status. We describe our implementation and assess performance of the BinaxNOW COVID-19 Antigen Test (Abbott Laboratories) in 6,099 adults at a self-referred walk-up testing site.
Rapid antigen tests are simple to perform and provide results within 15 min.
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