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Review
. 2020 May 2;17(9):3176.
doi: 10.3390/ijerph17093176.

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

Nicola Luigi Bragazzi  1   2 , Haijiang Dai  1 , Giovanni Damiani  3   4   5 , Masoud Behzadifar  6 , Mariano Martini  2 , Jianhong Wu  1
Affiliations
Review

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

Nicola Luigi Bragazzi et al. Int J Environ Res Public Health. .

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.

Keywords: Big Data; artificial intelligence; epidemiology; public health; viral outbreak.

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Conflict of interest statement

The authors declare no conflict of interest.

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