An autonomous IoT-based contact tracing platform in a COVID-19 patient ward

Asanka Rathnayaka, Maggie Ezzat Gaber Gendy, Fan Wu, Md Abdulla Al Mamun, Stephanie J. Curtis, Gordon Bingham, Anton Y. Peleg, Andrew J. Stewardson, Mehmet R. Yuce

Research output: Contribution to journalArticleResearchpeer-review

4 Citations (Scopus)


Since 2020, the coronavirus disease (COVID-19) pandemic has had a substantial impact on all community sectors worldwide, particularly the health care sector. Healthcare workers (HCWs) are at risk of COVID-19 infection due to occupational exposure to infectious patients, visitors, and staff. Contact tracing of close physical interaction is an essential control measure, especially in hospitals, to prevent onward transmission during an outbreak event. In this article, we propose an IoT-based contact tracing system for subject identification, interaction tracking and data transmission in hospital wards. The system, based on Bluetooth Low Energy (BLE) devices, tracks the duration of interactions between different HCWs, and the time each HCW spends within the patient rooms using additional information from proximity sensors in the hallway or on the door frame of the patient room. The collected data are transferred via Long Range (LoRa) wireless technology and further analyzed to inform infection prevention activities. The suggested system’s performance is evaluated in a COVID-19 patient ward with both standard and negative pressure isolation rooms, and the current system’s capabilities and future research prospects are briefly discussed.

Original languageEnglish
Pages (from-to)8706-8717
Number of pages12
JournalIEEE Internet of Things Journal
Issue number10
Publication statusPublished - 15 May 2023


  • Contact tracing
  • COVID-19
  • Health Care Workers
  • Hospitals
  • Infectious Diseases
  • Internet of Things
  • Medical services
  • Radiofrequency identification
  • Wireless communication
  • Wireless sensor networks

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