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Artificial Intelligence Against COVID-19: A Meta-analysis of Current Research

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Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach

Part of the book series: Studies in Big Data ((SBD,volume 78))

Abstract

The epidemic of coronavirus disease 2019 (COVID-19) has posed an unprecedented challenge before humankind, with more than 3.2 million confirmed cases and death toll to more than 225 thousand till the end of April, 2020 globally. Currently, one-half of the world is under lockdown and complying with social distancing to arrest its spread. Does the COVID-19 crisis illustrate the necessity for solid artificial intelligence (AI) and machine learning (ML) strategy? AI and ML research groups across the world are extensively working to tackle various aspects of the COVID-19 crisis including epidemiological (e.g. prediction, controlling and forecasting viral dynamics), molecular studies and drug development (e.g. molecular modeling and drug targets identification), medical (e.g. AI-enable diagnostic and treatment), and socio-economical applications (e.g. economical impact forecasting and mitigation). In the last few months, several research papers have been published with AI applications against COVID-19. In this chapter, we performed a meta-analysis of the current state-of-the-art of AI against COVID-19 by using various publication repositories (PubMed, PubMed Central, Scopus, Google Scholar) and preprint servers (bioRxiv, medRxiv, arXiv). This meta-analysis helps the researcher to understand the broad spectrum of AI to combat COVID-19.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Jamia Millia Islamia, New Delhi, 110025, India

    Khalid Raza

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  1. Khalid Raza
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Correspondence to Khalid Raza .

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Editors and Affiliations

  1. Department of Information Technology, Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt

    Aboul-Ella Hassanien

  2. Department of Computer Science and Engineering, JIS University, Kolkata, India

    Nilanjan Dey

  3. Department of Computer Engineering, MISR Higher Institute for Engineering and Technology, Mansoura, Egypt

    Sally Elghamrawy

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Raza, K. (2020). Artificial Intelligence Against COVID-19: A Meta-analysis of Current Research. In: Hassanien, AE., Dey, N., Elghamrawy, S. (eds) Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach. Studies in Big Data, vol 78. Springer, Cham. https://doi.org/10.1007/978-3-030-55258-9_10

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  • DOI: https://doi.org/10.1007/978-3-030-55258-9_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-55257-2

  • Online ISBN: 978-3-030-55258-9

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