中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Diseases spectrum in the field of spatiotemporal patterns mining of infectious diseases epidemics: A bibliometric and content analysis

文献类型:期刊论文

作者Lu, Weili1,2; Ren, Hongyan2
刊名FRONTIERS IN PUBLIC HEALTH
出版日期2023-01-09
卷号10页码:14
关键词spatiotemporal patterns bibliometrics content analysis diseases spectrum research directions research gaps infectious diseases
DOI10.3389/fpubh.2022.1089418
通讯作者Ren, Hongyan(renhy@igsnrr.ac.cn)
英文摘要Numerous investigations of the spatiotemporal patterns of infectious disease epidemics, their potential influences, and their driving mechanisms have greatly contributed to effective interventions in the recent years of increasing pandemic situations. However, systematic reviews of the spatiotemporal patterns of communicable diseases are rare. Using bibliometric analysis, combined with content analysis, this study aimed to summarize the number of publications and trends, the spectrum of infectious diseases, major research directions and data-methodological-theoretical characteristics, and academic communities in this field. Based on 851 relevant publications from the Web of Science core database, from January 1991 to September 2021, the study found that the increasing number of publications and the changes in the disease spectrum have been accompanied by serious outbreaks and pandemics over the past 30 years. Owing to the current pandemic of new, infectious diseases (e.g., COVID-19) and the ravages of old infectious diseases (e.g., dengue and influenza), illustrated by the disease spectrum, the number of publications in this field would continue to rise. Three logically rigorous research directions-the detection of spatiotemporal patterns, identification of potential influencing factors, and risk prediction and simulation-support the research paradigm framework in this field. The role of human mobility in the transmission of insect-borne infectious diseases (e.g., dengue) and scale effects must be extensively studied in the future. Developed countries, such as the USA and England, have stronger leadership in the field. Therefore, much more effort must be made by developing countries, such as China, to improve their contribution and role in international academic collaborations.
WOS关键词A H1N1 VIRUS ; RISK-ASSESSMENT ; HUMAN MOBILITY ; DYNAMICS ; CHINA ; SUSCEPTIBILITY ; TRANSMISSION ; ASSOCIATION ; MORTALITY ; MOVEMENT
资助项目National Natural Science Foundation of China[42071136]
WOS研究方向Public, Environmental & Occupational Health
语种英语
出版者FRONTIERS MEDIA SA
WOS记录号WOS:000916770200001
资助机构National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/189317]  
专题中国科学院地理科学与资源研究所
通讯作者Ren, Hongyan
作者单位1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Lu, Weili,Ren, Hongyan. Diseases spectrum in the field of spatiotemporal patterns mining of infectious diseases epidemics: A bibliometric and content analysis[J]. FRONTIERS IN PUBLIC HEALTH,2023,10:14.
APA Lu, Weili,&Ren, Hongyan.(2023).Diseases spectrum in the field of spatiotemporal patterns mining of infectious diseases epidemics: A bibliometric and content analysis.FRONTIERS IN PUBLIC HEALTH,10,14.
MLA Lu, Weili,et al."Diseases spectrum in the field of spatiotemporal patterns mining of infectious diseases epidemics: A bibliometric and content analysis".FRONTIERS IN PUBLIC HEALTH 10(2023):14.

入库方式: OAI收割

来源:地理科学与资源研究所

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