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新冠疫情背景下我国公共卫生体系研究可视化分析 被引量:2

Visualized analysis of China’s public health system research under COVID-19 epidemic
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摘要 目的分析新冠疫情背景下我国公共卫生体系研究的相关文献,系统梳理当前研究热点和不足之处,为进一步完善我国公共卫生体系提供理论参考。方法在中国知网检索2020年1月—2022年7月主题词为“公共卫生体系”的相关文献,利用VOSviewer 1.6.13软件和Excel 2019对作者、关键词、机构、期刊、高被引文献进行可视化分析。结果检索到的相关文献多数来源于以复旦大学为代表的高等院校;郝模、李成跃是发文量最多的作者,且合作度较高的作者多数是来自同一机构。突发公共卫生事件、新冠疫情、生物安全、人才队伍建设、人工智能与大数据等方面是新冠疫情发生以来公共卫生体系研究的热点。结论当前,公共卫生领域跨机构、跨学科之间的研究与合作亟待加强;大数据在公共卫生领域应用是未来的发展趋势;提升公共卫生应急管理能力、完善法律法规体系是重中之重。 Objective To analyze the literature related to public health system under the background of COVID-19 epidemic,and identify the current research hotspots and deficiencies,so as to provide theoretical reference for the further improving Chinese public health system.Methods Literature related to public health system was retrieved from CNKI from January,2020 to July,2022.Authors,keywords,institutions,journals and highly cited literatures were visually analyzed using VOSviewer 1.6.13 software.Results The research showed that most of the literatures were published by universities represented by Fudan University.Hao Mo and Li Chengyue were highest productivity authors,and authors with high cooperation mostly came from the same institution.In addition,public health emergencies,COVID-19 epidemic,biosafety,talent team building,artificial intelligence and big data were the hotspots of public health system research since the outbreak of COVID-19 epidemic.Conclusion The cross-institutional and multi-disciplinary cooperation in the field of public health need to be strengthened,and future development trend is the application of big data in the field of public health.Improving the emergency management ability of public health,and perfecting the legal and regulatory system are the most important.
作者 崔葛诚 冯鹿方 杨克虎 CUI Gecheng;FENG Lufang;YANG Kehu(Evidence-Based Social Science Research Center,School of Public Health,Lanzhou University,Lanzhou,Gansu 730000,China;不详)
出处 《中国公共卫生管理》 2023年第3期288-292,共5页 Chinese Journal of Public Health Management
关键词 新冠疫情 公共卫生体系 文献 可视化 COVID-19 epidemic public health system literature visualization
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