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Toward COVID-19 Contact Tracing though Wi-Fi Probes.

Authors :
Yang, Xu
Shi, Chenqi
Li, Peihao
Yin, Yuqing
Niu, Qiang
Source :
Sensors (14248220). Mar2022, Vol. 22 Issue 6, p2255. 17p.
Publication Year :
2022

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14248220
Volume :
22
Issue :
6
Database :
Academic Search Index
Journal :
Sensors (14248220)
Publication Type :
Academic Journal
Accession number :
156096731
Full Text :
https://doi.org/10.3390/s22062255