Analyzing the Research Evolution in Response to COVID-19

doi:10.3390/ijgi10040237

	Analyzing the Research Evolution in Response to COVID-19
	Li, Weirong 2,3; Sun, Kai 2,3; Zhu, Yunqiang 1,2; Song, Jia 1,2; Yang, Jie 2; Qian, Lang 4; Wang, Shu 2
刊名	ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
	2021-04-01
卷号	10 期号:4 页码:24
关键词	COVID-19 papers research evolution correlation text mining
DOI	10.3390/ijgi10040237
通讯作者	Zhu, Yunqiang(zhuyq@igsnrr.ac.cn)
英文摘要	In order to understand how these studies are evolving to respond to COVID-19 and to facilitate the containment of COVID-19, this paper accurately extracted the spatial and topic information from the metadata of papers related to COVID-19 using text mining techniques, and with the extracted information, the research evolution was analyzed from the temporal, spatial, and topic perspectives. From a temporal view, in the three months after the emergence of COVID-19, the number of published papers showed an obvious growth trend, and it showed a relatively stable cyclical trend in the later period, which is basically consistent with the development of COVID-19. Spatially, most of the authors who participated in related research are concentrated in the United States, China, Italy, the United Kingdom, Spain, India, and France. At the same time, with the continuous spread of COVID-19 in the world, the distribution of the number of authors has gradually expanded, showing to be correlated with the severity of COVID-19 at a spatial scale. From the perspective of topic, the early stage of COVID-19 emergence, the related research mainly focused on the origin and gene identification of the virus. After the emergence of the pandemic, studies related to the diagnosis and analysis of psychological health, personal security, and violent conflict are added. Meanwhile, some categories are most closely related to the control and prevention of the epidemic, such as pathology analysis, diagnosis, and treatment; epidemic situation and coping strategies; and prediction and assessment of epidemic situation. In most time periods, the majority of studies focused on these three categories.
资助项目	Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23100100] ; National Natural Science Foundation of China[42050101] ; National Natural Science Foundation of China[41771430] ; National Natural Science Foundation of China[41631177]
WOS关键词	SOCIAL MEDIA
WOS研究方向	Computer Science ; Physical Geography ; Remote Sensing
语种	英语
出版者	MDPI
WOS记录号	WOS:000643091600001
资助机构	Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/161628]
专题	中国科学院地理科学与资源研究所
通讯作者	Zhu, Yunqiang
作者单位	1.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 4.South China Normal Univ, Sch Comp Sci, Guangzhou 510000, Peoples R China
推荐引用方式 GB/T 7714	Li, Weirong,Sun, Kai,Zhu, Yunqiang,et al. Analyzing the Research Evolution in Response to COVID-19[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2021,10(4):24.
APA	Li, Weirong.,Sun, Kai.,Zhu, Yunqiang.,Song, Jia.,Yang, Jie.,...&Wang, Shu.(2021).Analyzing the Research Evolution in Response to COVID-19.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,10(4),24.
MLA	Li, Weirong,et al."Analyzing the Research Evolution in Response to COVID-19".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 10.4(2021):24.