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

Archivos

https://socictopen.socict.org/files/to_import/pdfs/4918578.pdf

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.

Formatos de Salida

Position: 20117 (13 views)