How Big Data and Artificial Intelligence Can Help Better Manage the COVID-19 Pandemic.

Journal: International journal of environmental research and public health
Published Date: May 2, 2020

Abstract

SARS-CoV2 is a novel coronavirus, responsible for the COVID-19 pandemic declared by the World Health Organization. Thanks to the latest advancements in the field of molecular and computational techniques and information and communication technologies (ICTs), artificial intelligence (AI) and Big Data can help in handling the huge, unprecedented amount of data derived from public health surveillance, real-time epidemic outbreaks monitoring, trend now-casting/forecasting, regular situation briefing and updating from governmental institutions and organisms, and health facility utilization information. The present review is aimed at overviewing the potential applications of AI and Big Data in the global effort to manage the pandemic.

Authors

  • Nicola Luigi Bragazzi
    Laboratory for Industrial and Applied Mathematics, Department of Mathematics and Statistics, York University, Toronto, ON, Canada.
  • Haijiang Dai
    Laboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, York University, Toronto, ON M3J 1P3, Canada.
  • Giovanni Damiani
    Department of Dermatology, Case Western Reserve University, Cleveland, OH 44195, USA.
  • Masoud Behzadifar
    Social Determinants of Health Research Center, Lorestan University of Medical Sciences, Khorramabad 6813833946, Iran.
  • Mariano Martini
    Postgraduate School of Public Health, Department of Health Sciences (DISSAL), University of Genoa, 16132 Genoa, Italy.
  • Jianhong Wu
    Laboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, York University, Toronto, ON M3J 1P3, Canada.

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