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Contact analysis on COVID-19 using a campus network: poster abstract

Published:16 November 2020Publication History

ABSTRACT

In 2020, the COVID-19 pandemic is causing significant problems for our society. Although contact tracing is an essential countermeasure for minimizing exposure, its applications are not widely used in Japan. We have developed a Wi-fi based contact tracing system for use in our campus network to protect students and staff. Although the area covered by Wi-fi technology is too wide to accurately analyze contacts, it can still be used for comparative analysis. We conducted preliminary experiments as an example to compare the effects of countermeasures. Our results show that by making 30% of classrooms safe, we can reduce the number of potential exposures by over 90%. This paper summarizes 1) the system design to acquire necessary information while maintaining the privacy of students, and 2) the results of preliminary experiments that compare the effect of countermeasures.

References

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  3. Joel Hellewell, Sam Abbott, Amy Gimma, Nikos I Bosse, Christopher I Jarvis, Timothy W Russell, James D Munday, Adam J Kucharski, W John Edmunds, Fiona Sun, et al. 2020. Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts. The Lancet Global Health (2020).Google ScholarGoogle Scholar
  4. Junko Kurita, Tamie Sugawara, and Yasushi Ohkusa. 2020. Effectiveness of COCOA, a COVID- 19 contact notification application, in Japan. medRxiv (2020).Google ScholarGoogle ScholarCross RefCross Ref
  5. Lorenz Schauer, Martin Werner, and Philipp Marcus. 2014. Estimating crowd densities and pedestrian flows using wi-fi and bluetooth. In Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services. 171--177.Google ScholarGoogle ScholarDigital LibraryDigital Library

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    • Published in

      cover image ACM Conferences
      SenSys '20: Proceedings of the 18th Conference on Embedded Networked Sensor Systems
      November 2020
      852 pages
      ISBN:9781450375900
      DOI:10.1145/3384419

      Copyright © 2020 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 16 November 2020

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      Acceptance Rates

      Overall Acceptance Rate174of867submissions,20%

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