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

Xu Yang1, Chenqi Shi1, Peihao Li1

  • 1School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221000, China.

Sensors (Basel, Switzerland)
|March 26, 2022
PubMed
Summary

This study introduces COVID-19 Tracer, a low-cost system using WiFi signals to identify close contacts of COVID-19 patients. The system achieved over 98% accuracy in detecting potential close contacts, aiding infection control efforts.

Keywords:
COVID-19WiFi probe requestsclose contact

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Area of Science:

  • Computer Science
  • Epidemiology
  • Public Health

Background:

  • The rapid spread of COVID-19 necessitates effective contact tracing methods.
  • Identifying close contacts is crucial for controlling infectious disease transmission.
  • Existing methods may face challenges in scalability and cost-effectiveness.

Purpose of the Study:

  • To propose and evaluate COVID-19 Tracer, a novel low-cost passive system for identifying close contacts of confirmed COVID-19 cases.
  • To leverage ubiquitous WiFi probe requests for location similarity assessment.
  • To develop and validate range-free indicators for close contact detection.

Main Methods:

  • Utilizing WiFi probe requests to determine location similarity between individuals.
  • Implementing two range-free indicators: location similarity coefficient and close contact distance.
  • Conducting extensive experiments within a school office building environment.

Main Results:

  • The COVID-19 Tracer system demonstrated high effectiveness in judging close contacts.
  • Experimental results showed an average accuracy exceeding 98% in identifying close contacts.
  • A functional prototype system was successfully developed and tested in a school setting.

Conclusions:

  • COVID-19 Tracer is an effective and low-cost solution for passive close contact searching.
  • The system's high accuracy supports its utility in public health surveillance and infection control.
  • The developed prototype demonstrates practical applicability for real-world deployment in educational institutions.