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Volume 17
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10.3390/ijerph17093176
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Communication

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

by
Nicola Luigi Bragazzi
1,2,*,
Haijiang Dai
1,
Giovanni Damiani
3,4,5,
Masoud Behzadifar
6,
Mariano Martini
2 and
Jianhong Wu
1,*
1
Laboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, York University, Toronto, ON M3J 1P3, Canada
2
Postgraduate School of Public Health, Department of Health Sciences (DISSAL), University of Genoa, 16132 Genoa, Italy
3
Department of Dermatology, Case Western Reserve University, Cleveland, OH 44195, USA
4
Clinical Dermatology, I.R.C.C.S. Istituto Ortopedico Galeazzi, 20161 Milan, Italy
5
Department of Biomedical, Surgical and Dental Sciences, University of Milan, 20122 Milan, Italy
6
Social Determinants of Health Research Center, Lorestan University of Medical Sciences, Khorramabad 6813833946, Iran
*
Authors to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(9), 3176; https://doi.org/10.3390/ijerph17093176
Submission received: 10 March 2020 / Revised: 29 April 2020 / Accepted: 30 April 2020 / Published: 2 May 2020
(This article belongs to the Special Issue Big Data and Mathematical Modeling in Biomedicine)
Versions Notes

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

Share and Cite

MDPI and ACS Style

Bragazzi, N.L.; Dai, H.; Damiani, G.; Behzadifar, M.; Martini, M.; Wu, J. How Big Data and Artificial Intelligence Can Help Better Manage the COVID-19 Pandemic. Int. J. Environ. Res. Public Health 2020, 17, 3176. https://doi.org/10.3390/ijerph17093176

AMA Style

Bragazzi NL, Dai H, Damiani G, Behzadifar M, Martini M, Wu J. How Big Data and Artificial Intelligence Can Help Better Manage the COVID-19 Pandemic. International Journal of Environmental Research and Public Health. 2020; 17(9):3176. https://doi.org/10.3390/ijerph17093176

Chicago/Turabian Style

Bragazzi, Nicola Luigi, Haijiang Dai, Giovanni Damiani, Masoud Behzadifar, Mariano Martini, and Jianhong Wu. 2020. "How Big Data and Artificial Intelligence Can Help Better Manage the COVID-19 Pandemic" International Journal of Environmental Research and Public Health 17, no. 9: 3176. https://doi.org/10.3390/ijerph17093176

APA Style

Bragazzi, N. L., Dai, H., Damiani, G., Behzadifar, M., Martini, M., & Wu, J. (2020). How Big Data and Artificial Intelligence Can Help Better Manage the COVID-19 Pandemic. International Journal of Environmental Research and Public Health, 17(9), 3176. https://doi.org/10.3390/ijerph17093176

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