| Method type |
Data sources |
Platforms |
Initiatives |
Performance |
| Screen & track |
RHR, sleep times, step count |
Consumer-grade wearables & activity trackers |
RKI Corona Datenspende, Scripps DETECT,13 Stanford Smartwatch Study10
|
RHR and step count patterns confirm physician office influenza reports; 80% patient detection rate for sensor and symptom reporting; sensor data provides indicators before symptom reports. |
| Screen & track |
Cough, heart & respiratory rate (accelerometer), body temperature |
Custom stretchable patch |
Jeong et al.,6
|
Cough-related motion, heart beat (seismocardiogram), and respiration rate observable in the data. |
| Tracing |
BT |
Smartphones, BT beacons |
Liu et al.,7 Montanari et al.,11 Bian et al.3
|
Smartphone-based proximity estimation unreliable in <2m range. |
| Tracing |
Oscillating magnetic field |
Custom belt-attached wearable |
Bian et al.3
|
Highly localised proximity estimation up to 2.5 m. |
| Tracing |
Ultra wideband positioning |
Bracelet and base stations |
www.kpdistance.com |
Proximity accuracy down to 0.1 m. |
| Tracing |
BT combined with sound fingerprints |
Smartphones |
Thiel et al.16 and unpublished work |
Up to 20% accuracy increase on social distance detection wrt. BT. |
| Tracing |
Near ultrasound |
Smartphones |
https://www.novid.org |
Sub-meter accuracy. |