Abstract
COVID-19 is currently the biggest threat that challenges all of humankind’s health and property. One promising and effective way to control the rapid spreading of this infection is searching for primary close contacts of the confirmed cases. In response, we propose COVID-19 Tracer, a low-cost passive searching system to find COVID-19 patients’ close contacts. The main idea is utilizing ubiquitous WiFi probe requests to describe the location similarity, which is then achieved by two designed range-free judgment indicators: location similarity coefficient and close contact distance. We have carried out extensive experiments in a school office building, and the experimental results show an average accuracy of more than 98%, demonstrating our system’s effectiveness in judging close contacts. Last but not least, we have developed a prototype system for a school building to find potential close contacts.
Highlights
We aim to explore researching close contacts of a confirmed case via smartphones and WiFi probes
A series of experiments have been conducted in a school office building, and the results reveal that our method has good performance in judging close contacts with an average accuracy of more than 98%
Volunteers with smartphones p a and pb are regarded as close contacts, while the volunteer with smartphone pc is regarded as the non-close contact
Summary
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