首页|基于CiteSpace和VOSviewer知识图谱的中医药防治新型冠状病毒感染研究状况及趋势的可视化分析

基于CiteSpace和VOSviewer知识图谱的中医药防治新型冠状病毒感染研究状况及趋势的可视化分析

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目的 基于CiteSpace和VOS viewer软件的知识图谱功能对中国知网(CNKI)中的中医药防治新型冠状病毒感染的相关文献进行可视化分析,以探索三年来中医药防治新型冠状病毒感染的研究状况与趋势,为今后疫病研究提供宝贵经验.方法 检索CNKI中从2019年12月1日—2023年6月1日中医药防治新型冠状病毒感染的文献,筛选后以"Refworks"格式导出,设置CiteSpace和VOSviewer软件相关参数后分析年际发文量、文献来源、作者、研究机构和关键词.结果 共纳入2789个中医药防治新型冠状病毒感染文献,中医杂志发表94篇,数量最多.刘清泉、杨丰文、张伯礼等为高产作者,湖北中医药大学、北京中医药大学、天津中医药大学及其附属医院发文量较多.关键词共现图谱显示中医药、疫病、中医证候、辨证论治、恢复期等频次较多.关键词聚类图谱主要聚为中医证候、网络药理学、预防、辨证论治、恢复期、中医护理、重型、中成药8类.关键词突现图谱显示康复、作用机制、信号通路等关键词研究较多并可能持续研究下去.结论 研究运用CiteSpace和VOSviewer软件共同对中医药防治新型冠状病毒感染领域进行知识图谱展示以探究研究现状,为今后中医药防治疫病提供经验.
Visualized Analysis of Research Status and Trends of TCM Prevention and Treatment of COVID-19 Based on CiteSpace and VOSviewer Knowledge Map
Objective Based on the knowledge graph function of CiteSpace and VOSviewer software,this paper visually ana-lyzed the research on traditional Chinese medicine(TCM)prevention and treatment of corona virus disease 2019(COVID-19)in China National Knowledge Internet(CNKI),in order to show the research status and evolution trend of TCM prevention and treatment of COVID-19 in three years,and to provide valuable experience for the future epidemic disease research.Methods All literatures related to TCM prevention and treatment of CO VID-19 in CNKI from December 1,2019 to March 8,2023 were re-trieved,screened and exported in the format of Refworks.After setting relevant parameters of CiteSpace and VOSviewer software,the annual number of publications,literature sources,authors,research institutions and keywords were analyzed.Results A total of 2789 literatures related to TCM prevention and treatment of COVID-19 were included.Journals of Traditional Chinese Medicine published 94 literatures,with the largest number.LIU Qingquan,YANG Fengwen and ZHANG Boli were high-yield authors.Hubei University of Chinese Medicine,Beijing University of Chinese Medicine,Tianjin University of Traditional Chinese Medicine and their affiliated hospitals published more papers.The keywords co-occurrence map showed that there were more frequencies of TCM,epidemic disease,TCM syndrome,syndrome differentiation and treatment,recovery period and so on.Keywords cluster map mainly clustered into 8 categories,including TCM syndrome,network pharmacology,prevention,syndrome differentiation and treatment,recovery period,TCM nursing,heavy type,Chinese patent medicine.The keywords emergence map showed that rehabil-itation,action mechanism,signaling pathway and other keywords were more studied and may continue to study.Conclusion In this study,CiteSpace and VOSviewer software were used to jointly display the knowledge map in related fields of TCM prevention and treatment of COVID-19 to explore the current research status and provide experience for TCM prevention and treatment of epi-demic disease in the future.

CiteSpaceVOSviewerCOVID-19taditional Chinese medicineknowledge map

邹吉宇、王世文、臧凝子、庞立健、吕晓东

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辽宁中医药大学,辽宁沈阳 110847

辽宁中医药大学附属医院,辽宁沈阳 110032

CiteSpace VOSviewer 新型冠状病毒感染 中医药 知识图谱

2024

中华中医药学刊
中华中医药学会 ,辽宁中医药大学

中华中医药学刊

CSTPCD北大核心
影响因子:1.007
ISSN:1673-7717
年,卷(期):2024.42(12)