A distributed digital twin implementation of a hemodialysis unit aimed at helping prevent the spread of the Omicron COVID-19 variant
26th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2022
; : 168-174, 2022.
Article
in English
| Scopus | ID: covidwho-2136155
ABSTRACT
In order to monitor and assess the spread of the Omicron variant of COVID-19, we propose a Distributed Digital Twin that virtually mirrors a hemodialysis unit in a hospital in Toronto, Canada. Since the solution involves heterogeneous components, we rely on the IEEE HLA distributed simulation standard. Based on the standard, we use an agent-based/discrete event simulator together with a virtual reality environment in order to provide to the medical staff an immersive experience that incorporates a platform showing predictive analytics during a simulation run. This can help professionals monitor the number of exposed, symptomatic, asymptomatic, recovered, and deceased agents. Agents are modeled using a redesigned version of the susceptible-exposed-infected-recovered (SEIR) model. A contact matrix is generated to help identify those agents that increase the risk of the virus transmission within the unit. © 2022 IEEE.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Topics:
Variants
Language:
English
Journal:
ACM International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2022
Year:
2022
Document Type:
Article
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