Big Data Analytics in COVID-19: Comparison
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Please note this is a comparison between Version 2 by Bruce Ren and Version 1 by Abdullah M. Almuhaideb.

The COVID-19 epidemic has caused a large number of human losses and havoc in the economic, social, societal, and health systems around the world. Controlling such epidemic requires understanding its characteristics and behavior, which can be identified by collecting and analyzing the related big data. Big data analytics tools play a vital role in building knowledge required in making decisions and precautionary measures. However, due to the vast amount of data available on COVID-19 from various sources, there is a need to review the roles of big data analysis in controlling the spread of COVID-19, presenting the main challenges and directions of COVID-19 data analysis, as well as providing a framework on the related existing applications and studies to facilitate future research on COVID-19 analysis.

  • artificial intelligence (AI)
  • big data
  • big data analytics
  • 2019 novel coronavirus disease (COVID-19)
  • healthcare
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