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Review of IoT for COVID-19 Detection and Classification

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International Conference on Innovative Computing and Communications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1394))

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Abstract

This paper presents a thorough review for researches that are proposed to address the COVID-19 disease by employing IoT techniques. COVID-19 disease, caused by a large family of coronaviruses, causes illness in humans and animals. The pandemic of COVID-19 has had unforeseeable global implications for the economy, customers, and social life. The lockdown policy restricted the movement of people as the only measure in the battle against the pandemic, reduced the reach of business operations, and changed the patterns of behavior of consumers who turned to stock accumulation in a panic. The Internet of Things (IoT) has been used as technology in a variety of applications. The current major research activities are proof that prosperity tracking by remote sensing is dependent on IoT. IoT should be used to prevent the distribution of COVID-19. IoT is a connection between physical devices and the Internet. Devices can monitor and respond in addition to the sense and record. IoT continues to be an effective tool for keeping track of an infected patient, which will restrict the spread of COVID-19. Technology appears today; in an internet-based environment, particularly in the present pandemic crisis, COVID-19, the feasible use of an educational technology tool can be achieved. The ability to respond to this global challenge continues to have a tremendous impact on the innovative application of digital technologies which can continue to be used to improve performance.

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Authors and Affiliations

  1. College of Computer Science and Information Technology, University of Anbar, Ramadi, Iraq

    Maha Mahmood, Wijdan Jaber AL-Kubaisy & Belal AL-Khateeb

Authors
  1. Maha Mahmood
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  2. Wijdan Jaber AL-Kubaisy
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  3. Belal AL-Khateeb
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Corresponding author

Correspondence to Belal AL-Khateeb .

Editor information

Editors and Affiliations

  1. Maharaja Agrasen Institute of Technology, Delhi, India

    Ashish Khanna

  2. Department of Computer Science Engineering, Maharaja Agrasen Institute of Technology, Rohini, Delhi, India

    Deepak Gupta

  3. Rajnagar Mahavidyalaya, Birbhum, India

    Siddhartha Bhattacharyya

  4. Computer and Artificial Intelligence, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  5. Department of Computer Science, Shaheed Sukhdev College of Business Studies, Rohini, Delhi, India

    Sameer Anand

  6. Department of Computer Science, Shaheed Sukhdev College of Business Studies, Rohini, Delhi, India

    Ajay Jaiswal

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Mahmood, M., AL-Kubaisy, W.J., AL-Khateeb, B. (2022). Review of IoT for COVID-19 Detection and Classification. In: Khanna, A., Gupta, D., Bhattacharyya, S., Hassanien, A.E., Anand, S., Jaiswal, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1394. Springer, Singapore. https://doi.org/10.1007/978-981-16-3071-2_68

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