大数据和人工智能如何帮助更好地管理 COVID-19 大流行。
How Big Data and Artificial Intelligence Can Help Better Manage the COVID-19 Pandemic.
机构信息
Laboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, York University, Toronto, ON M3J 1P3, Canada.
Postgraduate School of Public Health, Department of Health Sciences (DISSAL), University of Genoa, 16132 Genoa, Italy.
出版信息
Int J Environ Res Public Health. 2020 May 2;17(9):3176. doi: 10.3390/ijerph17093176.
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.
摘要
SARS-CoV2 是一种新型冠状病毒，是世界卫生组织宣布的 COVID-19 大流行的罪魁祸首。得益于分子和计算技术以及信息和通信技术（ICT）领域的最新进展，人工智能（AI）和大数据可以帮助处理来自公共卫生监测、实时疫情监测、趋势预测/预测、政府机构和机构的定期情况简报和更新以及卫生机构利用信息的巨大、前所未有的大量数据。本综述旨在概述人工智能和大数据在全球管理大流行方面的潜在应用。
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