南方科技大学知识苑(SUSTech KC): Big Data Analytics in the Fight against Major Public Health Incidents (Including COVID-19): A Conceptual Framework

题名	Big Data Analytics in the Fight against Major Public Health Incidents (Including COVID-19): A Conceptual Framework
作者	Jia，Qiong 1; Guo，Yue2 ; Wang，Guanlin 1; Barnes，Stuart J.3
发表日期	2020-08-25
DOI	10.3390/ijerph17176161
发表期刊	International journal of environmental research and public health 影响因子和分区
EISSN	1660-4601
卷号	17 期号:17
摘要	Major public health incidents such as COVID-19 typically have characteristics of being sudden, uncertain, and hazardous. If a government can effectively accumulate big data from various sources and use appropriate analytical methods, it may quickly respond to achieve optimal public health decisions, thereby ameliorating negative impacts from a public health incident and more quickly restoring normality. Although there are many reports and studies examining how to use big data for epidemic prevention, there is still a lack of an effective review and framework of the application of big data in the fight against major public health incidents such as COVID-19, which would be a helpful reference for governments. This paper provides clear information on the characteristics of COVID-19, as well as key big data resources, big data for the visualization of pandemic prevention and control, close contact screening, online public opinion monitoring, virus host analysis, and pandemic forecast evaluation. A framework is provided as a multidimensional reference for the effective use of big data analytics technology to prevent and control epidemics (or pandemics). The challenges and suggestions with respect to applying big data for fighting COVID-19 are also discussed.
关键词	big data analysis COVID-19 deep learning epidemic prevention and control major public health incidents predictive analysis visual analysis
相关链接	[Scopus记录]
收录类别	SCI ; SSCI
语种	英语
学校署名	其他
资助项目	National Natural Science Foundation of China[71872061][71702045] ; Humanities and Social Sciences Foundation of the Ministry of Education in China[16YJC630028][17YJC630047] ; Fundamental Research Funds for the Central Universities[2018B20614][2017B14414]
WOS研究方向	Environmental Sciences & Ecology ; Public, Environmental & Occupational Health
WOS类目	Environmental Sciences ; Public, Environmental & Occupational Health
WOS记录号	WOS:000569786300001
出版者	MDPI
Scopus记录号	2-s2.0-85090008417
来源库	Scopus
引用统计	被引频次[WOS]：44
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/153582
专题	南方科技大学商学院_信息系统与管理工程系
作者单位	1.Department of Management,Hohai University,Nanjing,Hohai Business School,211100,China 2.Department of Information System and Management Engineering,Faculty of Business,Southern University of Science and Technology,Shenzhen,1088 Xueyuan Avenue,518055,China 3.CODA Research Centre,King's College London,Bush House,London WC2B 4BG,King's Business School,United Kingdom
推荐引用方式 GB/T 7714	Jia，Qiong,Guo，Yue,Wang，Guanlin,et al. Big Data Analytics in the Fight against Major Public Health Incidents (Including COVID-19): A Conceptual Framework[J]. International journal of environmental research and public health,2020,17(17).
APA	Jia，Qiong,Guo，Yue,Wang，Guanlin,&Barnes，Stuart J..(2020).Big Data Analytics in the Fight against Major Public Health Incidents (Including COVID-19): A Conceptual Framework.International journal of environmental research and public health,17(17).
MLA	Jia，Qiong,et al."Big Data Analytics in the Fight against Major Public Health Incidents (Including COVID-19): A Conceptual Framework".International journal of environmental research and public health 17.17(2020).