Protecting Health Care Workers from infectious diseases using physical proximity networks (PPN)

Asanka Rathnayaka; Md Abdulla Al Mamun; Fan Wu; Stephanie Jane Curtis; Andrew James Stewardson; Mehmet Rasit Yuce

doi:10.1109/SENSORS47125.2020.9278701

Protecting Health Care Workers from infectious diseases using physical proximity networks (PPN)

Asanka Rathnayaka, Md Abdulla Al Mamun, Fan Wu, Stephanie Jane Curtis, Andrew James Stewardson, Mehmet Rasit Yuce

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research

4 Citations (Scopus)

Abstract

The COVID-19 pandemic is a major global health threat, and Health Care Workers (HCWs) may have an increased risk of infection through occupational exposure. In the case of hospital outbreaks, contact tracing of close physical interaction needs to be performed. In this article, we propose an IoT-connected contact tracing system based on Bluetooth Low Energy (BLE) beacons for subject identification and data transmission. The proposed system consists of BLE receivers, BLE wearable tags, an edge gateway and a cloud server. The system records interaction information such as entering/exiting time of an HCW to isolation rooms in the hospital. The collected data will be further analyzed to inform infection prevention policies. The performance of the proposed system is assessed through qualitative and quantitative experimental results. Finally, the capabilities of the current system and future research directions are briefly discussed.

Original language	English
Title of host publication	2020 IEEE SENSORS Proceedings
Editors	Gijs Krijnen, Rolland Vida
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	1400-1403
Number of pages	4
ISBN (Electronic)	9781728168012
ISBN (Print)	9781728168029
DOIs	https://doi.org/10.1109/SENSORS47125.2020.9278701
Publication status	Published - 25 Oct 2020
Event	IEEE Conference on Sensors 2020 - Virtual, Rotterdam, Netherlands Duration: 25 Oct 2020 → 28 Oct 2020 https://ieeexplore.ieee.org/xpl/conhome/9278450/proceeding (Proceedings) https://2020.ieee-sensorsconference.org/ (Website)

Publication series

Name	Proceedings of IEEE Sensors
Volume	2020-October
ISSN (Print)	1930-0395
ISSN (Electronic)	2168-9229

Conference

Conference	IEEE Conference on Sensors 2020
Abbreviated title	SENSORS 2020
Country/Territory	Netherlands
City	Rotterdam
Period	25/10/20 → 28/10/20
Internet address	https://ieeexplore.ieee.org/xpl/conhome/9278450/proceeding (Proceedings) https://2020.ieee-sensorsconference.org/ (Website)

Keywords

BLE
Contact Tracing
COVID-19
Internet of Things

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/SENSORS47125.2020.9278701

Cite this

Rathnayaka, A., Al Mamun, M. A., Wu, F., Curtis, S. J., Stewardson, A. J., & Yuce, M. R. (2020). Protecting Health Care Workers from infectious diseases using physical proximity networks (PPN). In G. Krijnen, & R. Vida (Eds.), 2020 IEEE SENSORS Proceedings (pp. 1400-1403). (Proceedings of IEEE Sensors; Vol. 2020-October). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/SENSORS47125.2020.9278701

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abstract = "The COVID-19 pandemic is a major global health threat, and Health Care Workers (HCWs) may have an increased risk of infection through occupational exposure. In the case of hospital outbreaks, contact tracing of close physical interaction needs to be performed. In this article, we propose an IoT-connected contact tracing system based on Bluetooth Low Energy (BLE) beacons for subject identification and data transmission. The proposed system consists of BLE receivers, BLE wearable tags, an edge gateway and a cloud server. The system records interaction information such as entering/exiting time of an HCW to isolation rooms in the hospital. The collected data will be further analyzed to inform infection prevention policies. The performance of the proposed system is assessed through qualitative and quantitative experimental results. Finally, the capabilities of the current system and future research directions are briefly discussed. ",

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author = "Asanka Rathnayaka and {Al Mamun}, {Md Abdulla} and Fan Wu and Curtis, {Stephanie Jane} and Stewardson, {Andrew James} and Yuce, {Mehmet Rasit}",

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Rathnayaka, A, Al Mamun, MA, Wu, F, Curtis, SJ, Stewardson, AJ & Yuce, MR 2020, Protecting Health Care Workers from infectious diseases using physical proximity networks (PPN). in G Krijnen & R Vida (eds), 2020 IEEE SENSORS Proceedings. Proceedings of IEEE Sensors, vol. 2020-October, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 1400-1403, IEEE Conference on Sensors 2020, Rotterdam, Netherlands, 25/10/20. https://doi.org/10.1109/SENSORS47125.2020.9278701

Protecting Health Care Workers from infectious diseases using physical proximity networks (PPN). / Rathnayaka, Asanka; Al Mamun, Md Abdulla; Wu, Fan et al.
2020 IEEE SENSORS Proceedings. ed. / Gijs Krijnen; Rolland Vida. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2020. p. 1400-1403 (Proceedings of IEEE Sensors; Vol. 2020-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research

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AU - Rathnayaka, Asanka

AU - Al Mamun, Md Abdulla

AU - Wu, Fan

AU - Curtis, Stephanie Jane

AU - Stewardson, Andrew James

AU - Yuce, Mehmet Rasit

PY - 2020/10/25

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AB - The COVID-19 pandemic is a major global health threat, and Health Care Workers (HCWs) may have an increased risk of infection through occupational exposure. In the case of hospital outbreaks, contact tracing of close physical interaction needs to be performed. In this article, we propose an IoT-connected contact tracing system based on Bluetooth Low Energy (BLE) beacons for subject identification and data transmission. The proposed system consists of BLE receivers, BLE wearable tags, an edge gateway and a cloud server. The system records interaction information such as entering/exiting time of an HCW to isolation rooms in the hospital. The collected data will be further analyzed to inform infection prevention policies. The performance of the proposed system is assessed through qualitative and quantitative experimental results. Finally, the capabilities of the current system and future research directions are briefly discussed.

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ER -

Rathnayaka A, Al Mamun MA, Wu F, Curtis SJ, Stewardson AJ , Yuce MR. Protecting Health Care Workers from infectious diseases using physical proximity networks (PPN). In Krijnen G, Vida R, editors, 2020 IEEE SENSORS Proceedings. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2020. p. 1400-1403. (Proceedings of IEEE Sensors). doi: 10.1109/SENSORS47125.2020.9278701

Protecting Health Care Workers from infectious diseases using physical proximity networks (PPN)

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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