Cyber-physical spatial temporal analytics for digital twin-enabled smart contact tracing
Industrial Management & Data Systems
Article publication date: 16 March 2021
Issue publication date: 30 April 2021
Physical gatherings at social events have been found as one of the main causes of COVID-19 transmission all over the world. Smartphone has been used for contact tracing by exchanging messages through Bluetooth signals. However, recent confirmed cases found in venues indicated that indirect transmission of the causative virus occurred, resulting from virus contamination of common objects, virus aerosolization in a confined space or spread from inadequate ventilation environment with no indication of human direct or close contact observed.
This paper presents a novel cyber-physical architecture for spatial temporal analytics (iGather for short). Locations with time windows are modeled as digital chromosomes in cyberspace to represent human activity instances in the physical world.
Results show that the high spatial temporal correlated but indirect tracing can be realized through the deployment of physical hardware and spatial temporal analytics including mobility and traceability analytics. iGather is tested and verified in different spatial temporal correlated cases. From a management perspective of mobilizing social capacity, the venue plays not only a promotion role in boosting the utilization rates but also a supervision-assisted role for keeping the venue in a safe and healthy situation.
This research is of particular significance when physical distancing measures are being relaxed with situations gradually become contained. iGather is able to help the general public to ease open questions: Is a venue safe enough? Is there anyone at a gathering at risk? What should one do when someone gets infected without raising privacy issues?
This study contributes to the existing literature by cyber-physical spatial temporal analytics to trace COVID-19 indirect contacts through digital chromosome, a representation of digital twin technology. Also, the authors have proposed a venue-oriented management perspective to resolve privacy-preserving and unitization rate concerns.
The authors would like to acknowledge the COVID-19 Action Seed Funding from Faculty of Engineering, The University of Hong Kong, Natural Science Foundation of Jiangsu Province (Grant No. BK20180749), Natural Science Research of the Jiangsu Higher Education Institutions of China (Grant No. 19KJB580016).
Zhao, Z., Zhong, R.Y., Kuo, Y.-H., Fu, Y. and Huang, G.Q. (2021), "Cyber-physical spatial temporal analytics for digital twin-enabled smart contact tracing", Industrial Management & Data Systems, Vol. 121 No. 5, pp. 1082-1106. https://doi.org/10.1108/IMDS-11-2020-0634
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