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Developing A Conceptual Passive Contact Tracing System for Commercial Buildings Using WiFi Indoor Positioning

Author

Listed:
  • Sorena Vosoughkhosravi

    (Bert S. Turner Department of Construction Management, Louisiana State University, 3319 Patrick F. Taylor Hall, Baton Rouge, LA 70803, USA)

  • Amirhosein Jafari

    (Bert S. Turner Department of Construction Management, Louisiana State University, 3319 Patrick F. Taylor Hall, Baton Rouge, LA 70803, USA)

Abstract

Contact tracing is one of the critical tools for fighting against pandemic disease outbreaks, such as the fast-growing SARS-CoV-2 virus and its different variants. At present, automated contact tracing systems face two main challenges: (1) requiring application installation on smart devices and (2) protecting the users’ privacy. This study introduces a conceptual passive contact tracing system using indoor WiFi positioning to address these challenges and investigate the role of such a system in commercial buildings. In this regard, this study uses a simulated small-office layout in a case study to demonstrate the applicability of the proposed system. The special use of the proposed contact tracing system could be academic facilities and office buildings, where (1) the WiFi infrastructure already exists and therefore implementing such a system could be cost-effective, and (2) the same users use the facility regularly, enabling the system to notify the users upon a confirmed case once they are back in the building and connected to the WiFi system. Such technology can not only enhance the current automated contact tracing system in commercial buildings by illuminating the need to use smartphone applications while protecting users’ privacy, but could also reduce the risk of infection in indoor environments. The developed system can benefit facility managers, business owners, policy makers, and authorities in assisting to find occupants’ high-risk contacts and control the spread of SARS-CoV-2 or similar infectious diseases in commercial buildings, particularly university campuses and office buildings.

Suggested Citation

  • Sorena Vosoughkhosravi & Amirhosein Jafari, 2022. "Developing A Conceptual Passive Contact Tracing System for Commercial Buildings Using WiFi Indoor Positioning," Sustainability, MDPI, vol. 14(16), pages 1-21, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:16:p:10255-:d:891396
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    References listed on IDEAS

    as
    1. Tao Liu & Xing Zhang & Huan Zhang & Nadeem Tahir & Zhixiang Fang, 2021. "A Structure Landmark-Based Radio Signal Mapping Approach for Sustainable Indoor Localization," Sustainability, MDPI, vol. 13(3), pages 1-18, January.
    2. Hiroyasu Inoue & Yohsuke Murase & Yasuyuki Todo, 2021. "Do economic effects of the anti-COVID-19 lockdowns in different regions interact through supply chains?," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-19, July.
    3. A James & M J Plank & S Hendy & R Binny & A Lustig & N Steyn & A Nesdale & A Verrall, 2021. "Successful contact tracing systems for COVID-19 rely on effective quarantine and isolation," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-14, June.
    4. Zixiang Ma & Bang Wu & Stefan Poslad, 2019. "A WiFi RSSI ranking fingerprint positioning system and its application to indoor activities of daily living recognition," International Journal of Distributed Sensor Networks, , vol. 15(4), pages 15501477198, April.
    Full references (including those not matched with items on IDEAS)

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