高级检索

国内外数字公共卫生领域研究热点与前沿探究

Research hotspots and frontiers in digital public health research in China and abroad

  • 摘要:
    目的  全面客观阐述数字公共卫生学科的发展历程、研究热点及趋势,为未来数字公共卫生研究提供参考。
    方法 通过检索中国知网(CNKI)与Web of science(WOS)核心数据库收录的数字公共卫生相关研究文献,检索时间范围为1990年1月至2023年6月,纳入CNKI文献6437篇、WOS文献5344篇,运用文献计量分析软件CiteSpace,对检索到的所有文献进行可视化分析、关键词共现、聚类分析,时间线分析以及突现分析。
    结果 从2013年起,公共卫生学科进入快速发展阶段。国内外研究共同关注传染病和慢性病监测与预测、大数据和人工智能等新兴技术在公共卫生领域广泛运用。中文关键词共现知识图谱中共有728个节点、2286个连接,中文关键词中共形成56个聚类,国内研究重点集中在医疗体系建设,研究热点包括信息化和电子病历的管理;英文关键词共现知识图谱中共有980个节点、3 824个连接,英文关键词形成67个聚类,国际研究注重疾病干预手段,研究热点包括社交媒体和数字心理健康。
    结论 数字公共卫生学科正处于高速发展期,研究内容与趋势与数字技术的发展创新及重大公共卫生事件紧密关联。个性化数字健康服务将成为未来研究热点,数字公共卫生学科拥有广阔前景。

     

    Abstract:
    Objective To comprehensively and objectively describe the development history, research hotspots, and trends of digital public health, providing a reference for future digital public health research.
    Methods By searching the Chinese National Knowledge Infrastructure (CNKI) and Web of Science (WOS) core databases for digital public health-related research literature from January 1990 to June 2023, 6 437 articles from CNKI and 5 344 articles from WOS were included. Using the bibliometric analysis software CiteSpace, visual analysis, keyword co-occurrence, cluster analysis, timeline analysis, and burst analysis were conducted on all retrieved literature.
    Results Since 2013, the discipline of public health has entered a rapid development stage. Domestic and international research jointly focuses on infectious and chronic disease monitoring and prediction, as well as the extensive application of emerging technologies such as big data and artificial intelligence in the field of public health. The Chinese keyword co-occurrence knowledge map contains 728 nodes and 2 286 connections, with 56 clusters formed among Chinese keywords. Domestic research focuses on healthcare system construction, with research hotspots including informatization and electronic medical record management. The English keyword co-occurrence knowledge map contains 980 nodes and 3 824 connections, with 67 clusters formed among English keywords. International research emphasizes disease intervention methods, with research hotspots including social media and digital mental health.
    Conclusion The discipline of digital public health is currently in a period of rapid development, with research contents and trends closely related to the development and innovation of digital technology and major public health events. In the future, personalized digital health services will become a research hotspot, and the discipline of digital public health has broad prospects.

     

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