Shots:
- In May’2020, Fitbit has launched its COVID-19 study to build an algorithm that detects COVID-19 before symptoms starts. The study has enrolled 1000+ positive patients across the US and Canada is now delivering its first, preliminary results 90 days later
- The study demonstrated that its devices could detect ~50% of COVID-19 cases one day before participants reported the onset of symptoms such as fever, cough, or muscle aches
- The algorithm is under development and worked with 70% specificity, or a 30% rate of false positives. The study reinforces that breathing rate, resting heart rate and HRV are all useful metrics for indicating onset of illness and are best tracked at night, when the body is at rest
Click here to read full press release/ article | Ref: Fibit | Image: Bloomberg
