Unknown

Dataset Information

Longitudinal voice monitoring in a decentralized Bring Your Own Device trial for respiratory illness detection.


ABSTRACT: The Acute Respiratory Illness Surveillance (AcRIS) Study was a low-interventional trial that examined voice changes with respiratory illnesses. This longitudinal trial was the first of its kind, conducted in a fully decentralized manner via a Bring Your Own Device mobile application. The app enabled social-media-based recruitment, remote consent, at-home sample collection, and daily remote voice and symptom capture in real-world settings. From April 2021 to April 2022, the trial enrolled 9151 participants, followed for up to eight weeks. Despite mild symptoms experienced by reverse transcription polymerase chain reaction (RT-PCR) positive participants, two machine learning algorithms developed to screen respiratory illnesses reached the pre-specified success criteria. Algorithm testing on

SUBMITTER: Santamaria M 

PROVIDER: S-EPMC11986159 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature