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作 者:杨雅名 史继新[1] 王艳伟 张瑞雪 张文增[1] Yang Yaming;Shi Jixin;Wang Yanwei;Zhang Ruixue;Zhang Wenzeng(Shunyi District Center for Disease Control and Prevention,Beijing,101320,China)
机构地区:[1]北京市顺义区疾病预防控制中心,北京101320
出 处:《中国初级卫生保健》2024年第11期1-5,共5页Chinese Primary Health Care
基 金:北京市卫生健康委高层次公共卫生技术人才建设项目(2022-3-005)。
摘 要:目的:基于CiteSpace 6.2.R4软件对我国流感监测工作的相关文献进行文献计量与可视化分析,并提出建议。方法:检索中国知网(CNKI)“学术期刊”1952年1月1日—2024年3月20日流感监测主题文献,对文献样本的发文量、关键词和聚类、机构、作者进行分析,并生成可视化图谱。结果:共纳入2 048篇文献,1978—2019年文献发表数逐年上升,2019—2023年迅速回落;时间线图显示,2000年以后,流感病原学、流行病学、免疫学等领域进入快速发展阶段;2010年以后,分子学检测方法、模型预测、群体预防接种等成为研究热点;2020年以后,大数据时代背景下新出现“机器学习”关键词;关键词突现分析显示,“流行特征”“发病率”“暴发疫情”等内容是如今的研究前沿,“安全性”“风险评估”均表示流感对群体健康、医疗负担、资源储备等方面的影响;各发文机构合作较少,唯一稳定的合作网络由中国疾病预防控制中心搭建并吸纳个别省级单位;发文量最多的作者为孟玲、涂文校。结论:中国流感监测网络的成功搭建大力推进了我国流感监测研究的进步,主要内容和研究热点已全面覆盖流感病原学、流行病学、群体免疫、临床耐药治疗等方面。未来应继续加强跨学科、跨部门合作,实现传染病防控前移。OBJECTIVE To perform bibliometric and visual analysis for influenza monitoring work in China,Citespace softwarewere utilized to offer comments and suggestions for the following days. METHODS Influenza monitoring-themed literature from 1stJanuary 1952 to 20th Marth 2024 was retrieved from CNKI database. Publication numbers,keywords,clusters,affiliations,andauthorship were analyzed and visualized subsequently. RESULTS 2 048 articles were encompassed after duplicated and selectedmanually. The number of published articles demonstrated a consistent annual increase from 1978 to 2019,followed by a sharplydownturn from 2019 to 2023. Timeline analysis indicated a notable surge in the domains of influenza etiology,epidemiology,andimmunology 2000. After 2010, there emerged a pronounced interest in molecular detection methods, prediction modeling, andpopulation vaccinated strategies. After 2020,research hotspots underwent a further refinement,with the emergence of the keyword“machine learning” denoting an evolving research trend. Keyword burstiness showed that the latest research frontiers were epidemiccharacteristics,incidence rate and outbreaks. The presence of terms “safety” and “risk assessment” unveiled that quantitativeevaluations of the impact of influenza on public health expenditure have been undertaken. Collaboration among institutions wasconstrained, with sole collaborative endeavors orchestrated by the Chinese Center for Disease Control and Prevention, engagingspecific provincial-level entities. Predominantly,prolific authorship was attributed to Meng Ling and Tu Wenxiao. CONCLUSIONThe successful establishment of Chinese influenza monitoring network had significantly advanced influenza monitoring research inChina. Nowadays, the key areas of influenza monitoring encompass pathogen, epidemiology, population immunity, and clinicaldrug resistance and treatment. In the future, it is imperative to bridge diverse systems, enhance interdisciplinary andinterdepartmental collaboration to propel disease preventi
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