How Big Data and Artificial Intelligence Can Help Better Manage the COVID-19 Pandemic
Título
How Big Data and Artificial Intelligence Can Help Better Manage the COVID-19 Pandemic
Autor
Jianhong Wu, Nicola Luigi Bragazzi, Mariano Martini, Giovanni Damiani, Masoud Behzadifar, Haijiang Dai
Descripción
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.
Fecha
2020
Materia
Epidemiology, artificial intelligence, Public Health, big data, viral outbreak
Identificador
DOI: 10.3390/ijerph17093176
Fuente
International Journal of Environmental Research and Public Health
Editor
MDPI AG
Cobertura
Medicine
Colección
Citación
Jianhong Wu, Nicola Luigi Bragazzi, Mariano Martini, Giovanni Damiani, Masoud Behzadifar, Haijiang Dai, “How Big Data and Artificial Intelligence Can Help Better Manage the COVID-19 Pandemic,” SOCICT Open, consulta 17 de abril de 2026, https://www.socictopen.socict.org/items/show/3267.
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