Bragazzi, Luigi and Damiani, Giovanni and Behzadifar, Masoud and Martini, Mariano (2020) Communication How Big Data and Artificial Intelligence Can Help Better Manage the COVID-19 Pandemic. Int. J. Environ. Res. Public Health.
|
Text
ijerph-17-03176-v2.pdf Download (310kB) | Preview |
Abstract
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
| Item Type: | Article |
|---|---|
| Subjects: | R Medicine > R Medicine (General) |
| Divisions: | Faculty of Medicine, Health and Life Sciences > School of Medicine |
| Depositing User: | lorestan university |
| Date Deposited: | 16 May 2020 06:29 |
| Last Modified: | 16 May 2020 06:29 |
| URI: | http://eprints.lums.ac.ir/id/eprint/2081 |
Actions (login required)
 |
View Item |
