Contact Tracing for COVID-19 Using Bluetooth Low Energy

Authors

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

DOI:

https://doi.org/10.47611/jsrhs.v11i1.2438

Keywords:

Computer science, data science, covid, machine learning

Abstract

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

Mentor

References or Bibliography

Shi, M. (2020, July 20) “MAGGIES1105/PiPACT: Using Raspberry Pi's for COVID-19 Digital Contact Tracing.” GitHub, https://github.com/maggies1105/PiPACT.

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PACT Technical Report #1. (2020, June 15) “Using BLE Signal Strength Estimation to Facilitate Contact Tracing for COVID-19.” https://arxiv.org/pdf/2006.15711.pdf

Apple | Google Privacy Preserving Contact Tracing. (2020, June 15) “Privacy-safe contact tracing using Bluetooth Low Energy.” https://blog.google/documents/57/Overview_of_COVID-19_Contact_Tracing_Using_BLE.pdf.

O'Neill, P. H. (2020, June 29) “Bluetooth Contact Tracing Needs Bigger, Better Data.” MIT Technology Review, https://www.technologyreview.com/2020/04/22/1000353/bluetooth-contact-tracing-needs-bigger-better-data/.

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Published

02-28-2022

How to Cite

Shi, M., & Kreitzman, L. (2022). Contact Tracing for COVID-19 Using Bluetooth Low Energy. Journal of Student Research, 11(1). https://doi.org/10.47611/jsrhs.v11i1.2438

Issue

Section

HS Research Projects