Hotspot, frontier and trend of communicable diseases prevention and control research in China in the past 30 years: an analysis based on bibliometrics and scientific knowledge atlas
10.19428/j.cnki.sjpm.2023.22468
- VernacularTitle:基于文献计量学及科学知识图谱的我国30年传染病防控研究热点、前沿及趋势分析
- Author:
Li LI
1
;
Jianlin ZHUANG
1
;
Tingting PEI
1
;
Qiaozhen HU
1
;
Zhaorun LI
1
Author Information
1. Shanghai Changning District Center for Disease Control and Prevention, Shanghai 200013,China
- Publication Type:Journal Article
- Keywords:
communicable disease;
bibliometrics;
atlas of scientific knowledge;
research hotspot;
trend analysis
- From:
Shanghai Journal of Preventive Medicine
2023;35(3):235-243
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveBy using bibliometrics and scientific knowledge mapping technology, this study systematically combs and visually analyzes the research hotspots, frontiers and trends of infectious disease prevention and control in China in the past 30 years, summarizes the research direction in this field, combs the knowledge structure, and provides guidance and reference for subsequent research. MethodsThe databases of CNKI and Wanfang were searched by ("infectious diseases" or " communicable diseases") and "prevention and control" not "chronic diseases", The bibliometric software VOSviewer 1.68 and CiteSpace 5.8.3 were used to analyze the co-occurrence network of scientific knowledge maps from the keywords, emerging words, research authors, institutions and other aspects, and summarized the research hotspots, frontiers and trends in the field of infectious disease prevention and control in China. ResultsA total of 10 777 literatures were retrieved, and 7 676 literatures were included after screening. From the perspective of research trend, the number of published literatures in the field of infectious disease prevention and control in China showed an overall upward trend, and the number of studies was closely related to the outbreak of infectious diseases. The Chinese Center for Disease Control and Prevention has played a leading role in the research. In terms of researchers' cooperation, Hao Mo, Li Chengyue, Wang Ying and others from Fudan University were the main researchers' cooperation teams. Tu Wenxiao, Meng Ling and Xiang Nijuan from the Chinese Center for Disease Control and Prevention were the main researchers. Wang Quanyi, Li Xinyu, Wang Xiaoli from the Beijing Center for Disease Control and Prevention were the main researchers' research teams. Yang Zhicong, Li Meixia, Luo Lei and other research teams from Guangzhou Center for Disease Control and Prevention have formed a relatively obvious cooperation network. Analysis of the keyword cluster atlas showed that the articles related to the prevention and control of infectious diseases mainly were focused on the epidemiology of new coronavirus infection (new infectious diseases), school infectious diseases, common infectious diseases, and the related research of vector infectious diseases. The analysis of salient words indicated the research focus and trend change in different time periods. At present, the research focus and frontier in the field of infectious diseases are mainly concentrated in the field of prevention and control of new infectious diseases, such as the monitoring, early warning, reporting, emergency management, laws and regulations of the new coronavirus infection. ConclusionOur country attaches great importance to the prevention and control of infectious diseases, with extensive and in-depth research hotspots. In particular, research on emerging infectious diseases has developed rapidly and achieved remarkable results. With the application of molecular biology, big data, AI and other technologies in the field of infectious disease prevention and control, China's infectious disease prevention and control capabilities will be greatly improved. At the same time, it is necessary to strengthen the linkage between universities, disease control institutions, and medical institutions, and establish and improve a long-term normal prevention and control mechanism.