新型冠状病毒(COVID-19)护理领域的热点及前沿进展基于知识可视化分析

Hot spots and frontier progress in the field of new coronavirus (COVID-19) nursingVisual analysis based on knowledge

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DOI 10.12208/j.cn.20220280
刊名
Contemporary Nursing
年,卷(期) 2022, 3(7)
作者
作者单位

安徽医科大学第二附属医院重症医学二科 安徽合肥 ;

摘要
基于知识可视化分析,探讨国内外新型冠状病毒(COVID-19)领域的护理进展与护理要点。方法 收集2019年12月至2021年09月20日科学网(Web of Science)数据库收录的新型冠状病毒(COVID-19)的护理领域相关文献。应用Citespace 5.0 R1软件对国家、研究机构、作者信息进行提取及整理并生成相关共现网络,分析该领域主要研究力量分布及合作关系,对关键词及相关引文进行分析并绘制共被引文献网络,分析该领域前沿及热点信息。结果 共收集英文“article”及“review”3447篇,所有英文文献均纳入可视化分析。英文文献分析显示,全球发文量排名前3 位的国家依次为美国(969篇)、中国(375篇)、英国(231篇)。作者共现网络分析显示在全球形成了四大科研团体,其中以David CG、William ER、Jackson D和 Wang Y对该领域贡献最大。关键词共现分析显示,研究热点主要围绕新型冠状病毒(COVID-19)患者的心理健康,压力,焦虑及抑郁方面,共被引文献网络分析显示,未来对新型冠状病毒(COVID-19)研究也应将从心理健康问题方面着手。结论 通过知识可视化分析可以直观显示,新型冠状病毒(COVID-19)护理领域未来研究趋势倾向于新型冠状病毒(COVID-19)所产生压力、焦虑、抑郁及心理健康护理方面。
Abstract
Objective Based on knowledge visualization analysis, to explore the nursing progress and nursing points in the field of novel coronavirus (COVID-19) at home and abroad. Methods Literatures related to the nursing field of the novel coronavirus (COVID-19) included in the Web of Science database from December 2019 to September 20, 2021 were collected. Citespace 5.0 R1 software is used to extract and organize the information of countries, research institutions and authors, and generate relevant co-occurrence networks, analyze the distribution and cooperation of major research forces in this field, analyze keywords and related citations, and draw co-cited document networks , to analyze the frontier and hotspot information in this field. Results A total of 3447 English "articles" and "reviews" were collected, and all English literatures were included in the visual analysis. The analysis of English literature shows that the top 3 countries in terms of the number of published papers in the world are the United States (969 papers), China (375 papers), and the United Kingdom (231 papers). Author co-occurrence network analysis shows that four major scientific research groups have formed around the world, among which David CG, William ER, Jackson D, and Wang Y have contributed the most to this field. Keyword co-occurrence analysis shows that research hotspots mainly focus on the mental health, stress, anxiety and depression of patients with novel coronavirus (COVID-19). Mental health issues should also be addressed. Conclusion The knowledge visualization analysis can intuitively show that the future research trends in the field of new coronavirus (COVID-19) nursing tend to be related to stress, anxiety, depression and mental health care caused by the new coronavirus (COVID-19).
关键词
新型冠状病毒;COVID-19;护理;Citespace;可视化分析
KeyWord
New coronavirus; COVID-19; Nursing; Citespace; Visual analysis
基金项目
页码 34-37
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解海燕,丁燕,曹梦玲,肖文艳,曹爽*. 新型冠状病毒(COVID-19)护理领域的热点及前沿进展基于知识可视化分析 [J]. 当代护理. 2022; 3; (7). 34 - 37.

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