TY - JOUR
T1 - How big data and artificial intelligence can help better manage the covid-19 pandemic
AU - Bragazzi, Nicola Luigi
AU - Dai, Haijiang
AU - Damiani, Giovanni
AU - Behzadifar, Masoud
AU - Martini, Mariano
AU - Wu, Jianhong
N1 - Funding Information:
Funding: This research received no external funding. N.L.B. is partially supported by the Canadian Institute of Health Research (CIHR) 2019 Novel Coronavirus (COVID-19) rapid research program. H.D. is partially supported by the Canadian Institute of Health Research (CIHR) 2019 Novel Coronavirus (COVID-19) rapid research program. J.W. is partially supported by the Canada Research Chair Program (grant number: 230720), by the Natural Sciences and Engineering Research Council of Canada (Grant number: 105588-2011), and the Canadian Institute of Health Research (CIHR) 2019 Novel Coronavirus (COVID-19) rapid research program.
Publisher Copyright:
© 2020 by the authors.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/5/1
Y1 - 2020/5/1
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Big Data
KW - Epidemiology
KW - Public health
KW - Viral outbreak
UR - http://www.scopus.com/inward/record.url?scp=85084327140&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85084327140&partnerID=8YFLogxK
U2 - 10.3390/ijerph17093176
DO - 10.3390/ijerph17093176
M3 - Article
C2 - 32370204
AN - SCOPUS:85084327140
VL - 17
JO - International Journal of Environmental Research and Public Health
JF - International Journal of Environmental Research and Public Health
SN - 1661-7827
IS - 9
M1 - 3176
ER -