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Digital Twin for Healthcare: Design, Challenges, and Solutions ; : 137-156, 2022.
Article in English | Scopus | ID: covidwho-2271101

ABSTRACT

The COVID-19 virus has governments worldwide implementing new testing strategies, trying to increase their testing capacity so they can have a complete picture of the spread of COVID-19 with as much fidelity as possible. Simultaneously, people are looking to make sense of all the information and official recommendations to manage COVID-19. We present a DT for health in the context of the COVID-19 endemic stage aiming at bridging the gap between health authorities and the general population while offering an alternative approach to screen entire communities at a relatively low cost. We outline the architecture for the platform and present open challenges to make it a safe and effective tool to combat COVID-19 after our first iteration on it. © 2023 Elsevier Inc. All rights reserved.

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