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Toward COVID-19 Contact Tracing though Wi-Fi Probes
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 passiv...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949136/ https://www.ncbi.nlm.nih.gov/pubmed/35336425 http://dx.doi.org/10.3390/s22062255 |
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author | Yang, Xu Shi, Chenqi Li, Peihao Yin, Yuqing Niu, Qiang |
author_facet | Yang, Xu Shi, Chenqi Li, Peihao Yin, Yuqing Niu, Qiang |
author_sort | Yang, Xu |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8949136 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89491362022-03-26 Toward COVID-19 Contact Tracing though Wi-Fi Probes Yang, Xu Shi, Chenqi Li, Peihao Yin, Yuqing Niu, Qiang Sensors (Basel) Article 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. MDPI 2022-03-14 /pmc/articles/PMC8949136/ /pubmed/35336425 http://dx.doi.org/10.3390/s22062255 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yang, Xu Shi, Chenqi Li, Peihao Yin, Yuqing Niu, Qiang Toward COVID-19 Contact Tracing though Wi-Fi Probes |
title | Toward COVID-19 Contact Tracing though Wi-Fi Probes |
title_full | Toward COVID-19 Contact Tracing though Wi-Fi Probes |
title_fullStr | Toward COVID-19 Contact Tracing though Wi-Fi Probes |
title_full_unstemmed | Toward COVID-19 Contact Tracing though Wi-Fi Probes |
title_short | Toward COVID-19 Contact Tracing though Wi-Fi Probes |
title_sort | toward covid-19 contact tracing though wi-fi probes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949136/ https://www.ncbi.nlm.nih.gov/pubmed/35336425 http://dx.doi.org/10.3390/s22062255 |
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