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| Digital Twins Interest1 #715391 “A digital twin is a digital model of an intended or actual real-world physical product, system, or process (a physical twin) that serves as the effectively indistinguishable digital counterpart of it for practical purposes, such as simulation, integration, testing, monitoring, and maintenance.” [1] | |
+Citations (2) - CitationsAjouter une citationList by: CiterankMapLink[2] A distributed digital twin implementation of a hemodialysis unit aimed at helping prevent the spread of the Omicron COVID-19 variant
En citant: Jalal Possik, Danielle Azar, Adriano O. Solis, Ali Asgary, Gregory Zacharewicz, Abir Karami, Mohammadali Tofighi, Mahdi Najafabadi, Mohammad A. Shafiee, Asad A. Merchant, Mehdi Aarabi, Jianhong Wu
Publication date: 1 November 2022
Publication info: 2022 IEEE/ACM 26th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), 26-28 September 2022
Cité par: David Price 7:18 PM 24 November 2023 GMT
Citerank: (4) 679750Ali AsgaryAssociate Professor and Associate Director, Advanced Disaster, Emergency and Rapid Response Simulation (ADERSIM) in the School of Administrative Studies, and Adjunct Professor in the School of Information Technology, at York University.10019D3ABAB, 679812Jianhong WuProfessor Jianhong Wu is a University Distinguished Research Professor and Senior Canada Research Chair in industrial and applied mathematics at York University. He is also the NSERC Industrial Research Chair in vaccine mathematics, modelling, and manufacturing. 10019D3ABAB, 701037MfPH – Publications144B5ACA0, 704045Covid-19859FDEF6
URL: DOI: https://doi.org/10.1109/DS-RT55542.2022.9932047
| | Extrait - [IEEE/ACM 26th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), 26-28 September 2022]
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. |
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