COVID19 Sounds
COVID19 Sounds Summary
COVID19 Sounds is a mobile iOS app in Medical by University of Cambridge Information Services. Released in May 2020 (6 years ago). It has 10 ratings with a 4.00★ (good) average. Based on AppGoblin estimates, it reaches roughly 14 monthly active users . Store metadata: updated Nov 17, 2020.
Store info: Last updated on App Store on Nov 17, 2020 .
4★
Ratings: 10
Screenshots
App Description
The aim of this research is to collect data to inform the diagnosis of COVID-19 by developing machine learning algorithms, based primarily on sounds of their voice, their breathing and coughing.
In order to enable this research we are launching a large scale, crowdsourced data collection from healthy and non-healthy participants through an application. The app will collect some basic demographics and medical history data, as well as some voice samples (while you read text on the screen) through a questionnaire and a few seconds of breathing and coughing through the phone microphone. We will additionally collect one location sample. The app will also ask if you have tested positive for the virus.
The app won't be tracking you and only collect this data when you actively interact with it. The data will be stored on University servers and be used solely for research purposes. We hope to release the dataset we are collecting to other researchers after the initial analysis and pre-processing. The app will not give medical advice and any reports of symptoms will not be responded to by medical assistance.