| DOI | Resolve DOI: https://doi.org/10.1109/GLOBECOM42002.2020.9347957 |
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| Author | Search for: Hu, Peng1 |
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| Affiliation | - National Research Council of Canada. Digital Technologies
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| Format | Text, Article |
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| Conference | GLOBECOM 2020: 2020 IEEE Global Communications Conference, December 7-11, 2020, Taipei, Taiwan |
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| Subject | COVID-19; analytical models; infectious diseases; pandemics; computer architecture; tools; sensors |
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| Abstract | The recent COVID-19 pandemic has become a major threat to human safety and well-being. Non-pharmaceutical interventions such as contact tracing solutions are important to contain the spreads of COVID-19-like infectious diseases. However, current contact tracing solutions are fragmented with limited use of sensing technologies and centered on monitoring the interactions between individuals without an analytical framework for evaluating effectiveness. Therefore, we need to first explore generic architecture for contact tracing in the context of today's Internet of Things (IoT) technologies based on a broad range of applicable sensors. A new architecture for IoT based solutions to contact tracing is proposed and its overall effectiveness for disease containment is analyzed based on the traditional epidemiological models with the simulation results. The proposed work aims to provide a framework for assisting future designs and evaluation of IoT-based contact tracing solutions and to enable data-driven collective efforts on combating current and future infectious diseases. |
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| Publication date | 2020-12 |
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| Publisher | IEEE |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 296e99b3-6e6b-4488-8d8e-02849f83f62f |
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| Record created | 2021-06-11 |
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| Record modified | 2021-06-15 |
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