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bioRxiv · 10.1101/2022.08.23.504944

COVID-19 Contact Tracing Analysis with Bluetooth Technology Using Raspberry Pis

Zhang, D. Y.
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Abstract

Contact tracing, a method for detecting and preventing the spread of a disease, can become more efficient by becoming automated, rather than being done manually. Bluetooth based contact tracing is a potential method for creating an automated method for contact tracing. However, Bluetooth signals cannot always predict something with complete accuracy due to many subtle obstructions. Received signal strength indicator (RSSI), a value produced when Bluetooth devices send and receive signals, generated from Raspberry Pis can predict the distance between the two devices. By running many experiments with variations of obstructions, I was able to successfully create models to correlate RSSI values and distance with a potential success rate of 91.973%. For my research, a success is determined to be anything but a false negative. Despite the limitations when conducting my research, the inaccuracies of my results prove Bluetooth based contact tracing to not be a reliable method for determining people who have been in contact with an index case in the real world.

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Zhang, D. Y.. 2022-08-25. COVID-19 Contact Tracing Analysis with Bluetooth Technology Using Raspberry Pis. https://doi.org/10.1101/2022.08.23.504944

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