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Communication dans un congrès

A distributed digital twin implementation of a hemodialysis unit aimed at helping prevent the spread of the Omicron COVID-19 variant

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.
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https://hal.mines-ales.fr/hal-03857922
Contributeur : Administrateur IMT - Mines Alès Connectez-vous pour contacter le contributeur
Soumis le : jeudi 17 novembre 2022 - 21:49:52
Dernière modification le : vendredi 25 novembre 2022 - 09:50:06

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Jalal Possik, Danielle Azar, Adriano Solis, Ali Asgary, Grégory Zacharewicz, et al.. A distributed digital twin implementation of a hemodialysis unit aimed at helping prevent the spread of the Omicron COVID-19 variant. DS-RT 2022 - IEEE/ACM 26th International Symposium on Distributed Simulation and Real Time Applications, Sep 2022, Alès, France. pp.175-178, ⟨10.1109/DS-RT55542.2022.9932042⟩. ⟨hal-03857922⟩

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