How Big Data and Artificial Intelligence Can Help Better Manage the COVID-19 Pandemic-Reference-Cited by-同舟云学术

How Big Data and Artificial Intelligence Can Help Better Manage the COVID-19 Pandemic

Published:2020-05-02 Issue:9 Volume:17 Page:3176
ISSN:1660-4601
Container-title:International Journal of Environmental Research and Public Health
language:en
Short-container-title:IJERPH

Author:

Bragazzi Nicola Luigi^ORCID,Dai Haijiang^ORCID,Damiani Giovanni^ORCID,Behzadifar Masoud^ORCID,Martini Mariano,Wu Jianhong

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.

Publisher

MDPI AG

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

Link

https://www.mdpi.com/1660-4601/17/9/3176/pdf

Reference30 articles.

1. The Novel Coronavirus – A Snapshot of Current Knowledge

2. Novel Coronavirus 2019 (Sars-CoV2): A global emergency that needs new approaches?;Perrella;Eur. Rev. Med. Pharmacol. Sci.,2020

3. COVID-19 (Novel Coronavirus 2019)-recent trends;Kannan;Eur. Rev. Med. Pharmacol. Sci.,2020

4. Evolutionary history, potential intermediate animal host, and cross‐species analyses of SARS‐CoV‐2

5. The deadly coronaviruses: The 2003 SARS pandemic and the 2020 novel coronavirus epidemic in China

Cited by 282 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Identifying technological opportunities using enhanced tech mining: The case of the E-health industry;Technological Forecasting and Social Change;2024-09

2. Blockchain aplicado na área de saúde: uma revisão bibliométrica;Brazilian Journal of Production Engineering;2024-08-24

3. From Data to Insights;Advances in Computational Intelligence and Robotics;2024-08-21

4. ARTIFICIAL INTELLIGENCE FOR INNOVATION: A BIBLIOMETRIC ANALYSIS AND STRUCTURAL VARIATION APPROACH;International Journal of Innovation Management;2024-08-13

5. An architecture for COVID-19 analysis and detection using big data, AI, and data architectures;PLOS ONE;2024-08-01