| 肖瑶,许乐思,明浩.基于CiteSpace的新型冠状病毒肺炎中医药防治方案的可视化分析[J].浙江中医药大学学报,2022,46(3):309-317. |
| 基于CiteSpace的新型冠状病毒肺炎中医药防治方案的可视化分析 |
| Visualization Analysis of Traditional Chinese Medicine Prevention and Treatment Programs of Coronavirus Disease 2019 Based on CiteSpace |
| DOI：10.16466/j.issn1005-5509.2022.03.015 |
| 中文关键词: 新型冠状病毒肺炎 中医药防治 疫病 疫情防控 CiteSpace 可视化分析 |
| 英文关键词: Coronavirus Disease 2019 TCM prevention and treatment epidemic disease epidemic prevention and control CiteSpace visualization analysis |
| 基金项目:湖北省高等学校优秀中青年科技创新团队计划(T201808)；湖北中医药大学中医药高层次人才培养综合基地建设研究专项(2020B01)；湖北中医药大学“青苗计划”资助项目(2020ZZX030) |
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| 中文摘要: |
| [目的]通过检索中医药领域新型冠状病毒肺炎(Coronavirus Disease 2019，COVID-19)防治的相关文献，探索中医药防治COVID-19的合作网络和研究热点。[方法] 通过检索中国知网(China National Knowledge Infrastructure，CNKI)和Web of Science数据库，检索起止时间为2020年1月1日至2021年6月30日，分别获得与“新型冠状病毒肺炎”(COVID-19)和“中医药”(traditional Chinese medicine，TCM)主题相关的中/英文文献，再通过可视化分析软件CiteSpace 5.8.R2对所获得文献的作者、发文机构、 |
| 英文摘要: |
| [Objective] To search the literatures on prevention and treatment of Coronavirus Disease 2019(COVID-19) in the field of traditional Chinese medicine (TCM)， and explore the cooperation network and research hotspots in this field. [Methods] Chinese and English literatures related to the theme of “COVID-19” and “Traditional Chinese Medicine” were obtained in China National Knowledge Infrastructure (CNKI) and Web of Science (WOS) databases from January 1， 2020 to June 30， 2021， and then the authors， publishing institutions and Keywords of the literatures were analyzed by CiteSpace 5.8.R2. [Results] A total of 883 valid literatures in Chinese and 442 literatures in English were obtained. High-frequency Keywords in Chinese literatures include “COVID-19” “traditional Chinese medicine” “novel coronavirus” “epidemic prevention and control” “epidemic disease” “traditional Chinese medicine therapy” “traditional Chinese medicine prevention and cure” “integrated traditional Chinese and western medicine”， etc. High-frequency Keywords in English literatures include “COVID-19” “traditional Chinese medicine” “coronavirus” “SARS-CoV-2” “pneumonia” and so on. A steady number of collaborations have been formed between authors， such as the group headed by ZHANG Boli. The network densities of the Chinese and English author‘s collaborative maps are 0.0303 and 0.0287 respectively，the cooperative relationship between groups is weak. Research institutions are mainly universities of TCM and their affiliated hospitals and the China Academy of Chinese Medical Sciences. Among them， Beijing University of Chinese Medicine publishes the most papers， followed by comprehensive universities and their affiliated hospitals， and there are fewer foreign research institutions. The network densities of the Chinese and English organization cooperation maps are 0.0265 and 0.0418 respectively， and then the cooperation relationship is not strong. [Conclusion] The current research hotspots related to the prevention and treatment of COVID-19 with TCM are focused on the understanding of TCM pathogenesis， TCM treatment， epidemic prevention and control. The cooperation between groups is weak， and the cooperation between institutions is not strong， most of them are cooperations between colleges and affiliated hospitals， and academic exchanges between institutions in the province. It is recommended that future researchers should strengthen cross-group cooperation， and more importantly， strengthen cooperation with foreign researchers. |
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