COVID19 Sounds 17+

Cough for science‪!‬

University of Cambridge Information Services

Designed for iPhone

    • Free

iPhone Screenshots

Description

Volunteer your voice, cough for science!

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.

What’s New

Version 1.2.1

Time for a new version, with the new lockdown :)

Improvements:
- Time remaining is shown for each recording.
- In case of failure, same data is reused 3 times before starting over.
- Notifications moved as an opt-in button at the end of the survey, rather than be in the first view.
- Handle failure edge cases gracefully, which unfortunately required a lot of testing.

App Privacy

The developer, University of Cambridge Information Services, has not provided details about its privacy practices and handling of data to Apple. For more information, see the developer’s privacy policy.

No Details Provided

The developer will be required to provide privacy details when they submit their next app update.

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