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dc.contributor.authorBragazzi, Nicola Luigi et al.
dc.date.accessioned2020-05-18T16:26:50Z
dc.date.available2020-05-18T16:26:50Z
dc.date.issued2020-05-02
dc.identifier.urihttps://doi.org/10.3390/ijerph17093176en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12663/1530
dc.description.abstractSARS-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.en_US
dc.languageEnglishen_US
dc.subjectCOVID-19en_US
dc.subjectCoronavirusen_US
dc.subjectInfectious Diseasesen_US
dc.subjectDisease Outbreaksen_US
dc.subjectCoronavirus Infectionsen_US
dc.subjectPublic Healthen_US
dc.subjectEpidemiologyen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectBig Dataen_US
dc.titleHow Big Data and Artificial Intelligence Can Help Better Manage the COVID-19 Pandemicen_US
eihealth.countryOthersen_US
eihealth.categoryClinical characterization and managementen_US
eihealth.categoryCandidate therapeutics RDen_US
eihealth.categoryHealth systems and servicesen_US
eihealth.typePublished Articleen_US
eihealth.maincategorySave Lives / Salvar Vidasen_US
dc.relation.ispartofjournalInternational Journal of Environmental Research and Public Healthen_US


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