Contact Tracing for COVID-19 Using Bluetooth Low Energy


  • Manxi Shi Basis Independent Silicon Valley
  • Linda Kreitzman Haas School of Business, University of California, Berkeley



Computer science, data science, covid, machine learning


Contact tracing in simple terms is the process of determining whom an infected person has come in contact with and is used to attempt to slow the spread of infectious and life-threatening diseases. Here is a link to an article further describing contact tracing for COVID-19. Manual contact tracing done by public health officials is a slow and inefficient process. People are working on digital contact tracing using Bluetooth low energy for it to one day replace manual contact tracing. Cell phones and other portable devices can transmit Bluetooth low energy signals that can be picked up by others around them, leading to it being a very popular topic of research.


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Author Biography

Linda Kreitzman, Haas School of Business, University of California, Berkeley


References or Bibliography

Shi, M. (2020, July 20) “MAGGIES1105/PiPACT: Using Raspberry Pi's for COVID-19 Digital Contact Tracing.” GitHub,

CDC. (2020, June 28) “Covid-19 Contact Tracing.” Centers for Disease Control and Prevention,

Wikipedia. (2020, July 5) “Bluetooth Low Energy.” Wikimedia Foundation,

Narkhede, S. (2018, June 26) “Understanding AUC - Roc Curve.” Medium, Towards Data Science,

Kenton, W. (2020, October 25) “Probability Density Function (Pdf) Definition.” Investopedia,

MIT PACT. (2020, June 15) “Private Automated Contact Tracing.” PACT,

PACT Technical Report #1. (2020, June 15) “Using BLE Signal Strength Estimation to Facilitate Contact Tracing for COVID-19.”

Apple | Google Privacy Preserving Contact Tracing. (2020, June 15) “Privacy-safe contact tracing using Bluetooth Low Energy.”

O'Neill, P. H. (2020, June 29) “Bluetooth Contact Tracing Needs Bigger, Better Data.” MIT Technology Review,

Wikipedia. (2020, June 30) “Multilayer Perceptron.” Wikimedia Foundation,

Gitau, C. (2020, June 15) “Classification in Supervised Machine Learning: All You Need to Know!” Medium,



How to Cite

Shi, M., & Kreitzman, L. (2022). Contact Tracing for COVID-19 Using Bluetooth Low Energy. Journal of Student Research, 11(1).



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