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IoT and AI Technology Used for COVID-19 Pandemic Control

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IoT and Big Data Technologies for Health Care (IoTCare 2021)

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Abstract

The pandemic of COVID-19 is going on spreading in 2021, which has infected at least 170 million of people around the world. The healthcare systems are overwhelmed due to the virus infection. Luckily, Internet of Things (IoT) is one of the most effective paradigms in the smart world, in which artificial intelligence technology, like cloud computing and big data analysis, is playing a vital role in epidemic prevention and blocking COVID-19 spreading. For example, in terms of remote screening and diagnosis of the COVID-19 patients, AI technology based on machine learning and deep learning has significantly upgraded recently medical equipment and reshapes the workflow with minimal contact to patients, therefore medical specialists can make clinical decisions more efficiently, providing the best protection not only to patients but also specialists themselves. This paper hereby reviews the latest progress of IoT systems combined AI against COVID-19, and it also provide comprehensive detail on how to overcome the epidemic challenges along with directions towards the possible technology trends for future work.

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Authors and Affiliations

  1. School of Math and Information Technology, Jiangsu Second Normal University, Nanjing, 211200, China

    Shu-Wen Chen & Xiao-Wei Gu

  2. State Key Laboratory of Millimeter Waves, Southeast University, Nanjing, 210096, China

    Shu-Wen Chen

Authors
  1. Shu-Wen Chen
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  2. Xiao-Wei Gu
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Correspondence to Shu-Wen Chen .

Editor information

Editors and Affiliations

  1. University of Leicester, Leicester, UK

    Shuihua Wang

  2. Harbin Institute of Technology, Shenzhen, China

    Zheng Zhang

  3. University of Jinan, Jinan, China

    Yuan Xu

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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Chen, SW., Gu, XW. (2022). IoT and AI Technology Used for COVID-19 Pandemic Control. In: Wang, S., Zhang, Z., Xu, Y. (eds) IoT and Big Data Technologies for Health Care. IoTCare 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 415. Springer, Cham. https://doi.org/10.1007/978-3-030-94182-6_40

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  • DOI: https://doi.org/10.1007/978-3-030-94182-6_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-94181-9

  • Online ISBN: 978-3-030-94182-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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