Using SCENTinel® to predict SARS-CoV-2 infection: insights from a community sample during dominance of Delta and Omicron variants

• Main Authors: Stephanie R. Hunter (Author), Anne Zola (Author), Emily Ho (Author), Michael Kallen (Author), Edith Adjei-Danquah (Author), Chad Achenbach (Author), G. Randy Smith (Author), Richard Gershon (Author), Danielle R. Reed (Author), Benjamin Schalet (Author), Valentina Parma (Author), Pamela H. Dalton (Author)
• Format: Book
• Published: Frontiers Media S.A., 2024-04-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

IntroductionBased on a large body of previous research suggesting that smell loss was a predictor of COVID-19, we investigated the ability of SCENTinel®, a newly validated rapid olfactory test that assesses odor detection, intensity, and identification, to predict SARS-CoV-2 infection in a community...