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Supporting the Contact Tracing Process with WiFi Location Data: Opportunities and Challenges
2022
CHI Conference on Human Factors in Computing Systems
Contact tracers assist in containing the spread of highly infectious diseases such as COVID-19 by engaging community members who receive a positive test result in order to identify close contacts. Many contact tracers rely on community member's recall for those identifications, and face limitations such as unreliable memory. To investigate how technology can alleviate this challenge, we developed a visualization tool using de-identified location data sensed from campus WiFi and provided it to
doi:10.1145/3491102.3517703
fatcat:pj3h6lumhvdltiwndgzzjlzb2y