A Comprehensive Overview of the COVID-19 Literature: Machine Learning-Based Bibliometric Analysis.

Journal: Journal of medical Internet research
Published Date: Mar 8, 2021

Abstract

BACKGROUND: Shortly after the emergence of COVID-19, researchers rapidly mobilized to study numerous aspects of the disease such as its evolution, clinical manifestations, effects, treatments, and vaccinations. This led to a rapid increase in the number of COVID-19-related publications. Identifying trends and areas of interest using traditional review methods (eg, scoping and systematic reviews) for such a large domain area is challenging.

Authors

  • Alaa Abd-Alrazaq
    College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
  • Jens Schneider
    Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
  • Borbala Mifsud
    College of Health and Life Sciences, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
  • Tanvir Alam
    College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
  • Mowafa Househ
    Faculty College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar1.
  • Mounir Hamdi
    Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
  • Zubair Shah
    College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.

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