SCIENCE@home

Cyber-physical spatial temporal analytics for digital twin-enabled smart contact tracing

Zhiheng Zhao,R. Zhong,Y. Kuo,Yelin Fu,George Q. Huang

Published 2021 in Industrial management & data systems

ABSTRACT

Purpose: 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 Design/methodology/approach: 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 Findings: 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 Social implications: 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? Originality/value: 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 © 2021, Emerald Publishing Limited

PUBLICATION RECORD

  • Publication year

    2021

  • Venue

    Industrial management & data systems

  • Publication date

    2021-03-16

  • Fields of study

    Medicine, Computer Science, Engineering, Environmental Science

  • Identifiers
    DOI 10.1108/IMDS-11-2020-0634
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

CITATION MAP

EXTRACTION MAP

CLAIMS

  • No claims are published for this paper.

CONCEPTS

  • No concepts are published for this paper.

REFERENCES

Showing 1-32 of 32 references · Page 1 of 1

CITED BY

Showing 1-15 of 15 citing papers · Page 1 of 1