经合组织国家对COVID-19在初级医疗保健中的贡献进行科学绘制:一种机器学习方法
Muhammet Damar1,2, Benita Hosseini2,3,4, Andrew David Pinto2,3,4,5
1Fethiye Faculty of Business Administration, Management Information Systems, Mugla Sitki Kocman University, Mugla, Türkiye.
Digital health
|November 3, 2025
概括
加拿大和经合组织国家.
科学领域:
- 初级医疗保健 (PHC) 研究
- 全球卫生安全 全球卫生安全
- 圣经计量学和科学计量学
背景情况:
- 在COVID-19大流行期间,初级卫生保健 (PHC) 系统至关重要.
- 在全球卫生危机期间,PHC的研究成果面临着重大挑战.
- 经合组织国家对PHC的研究人员和研究机构的支持有所不同.
研究的目的:
- 评估加拿大和经合组织国家在COVID-19期间如何支持PHC的研究和研究人员的生产力.
- 分析经合组织国家之间的PHC研究中的科学成果和协作模式.
- 在经合组织国家中识别PHC科学生产率的差异.
主要方法:
- 对经合组织国家5765名研究人员的1061篇文章和评论进行了图书统计分析.
- 机器学习技术包括共同作者网络,融资模式和共同引用分析.
- 主题映射,因子分析和潜在的迪里克莱特分配用于主题建模.
主要成果:
- 加拿大在PHC的研究成果中排名第三,在经合组织国家中,在COVID-19研究中排名第四.
- 加拿大与美国,英国和澳大利亚有着强大的研究合作关系.
- 在经合组织国家中,医疗保健科学生产率存在显著差异,其中一些国家取得了有限的进展.
结论:
- 学术合作对于应对与流行病有关的危机和加强PHC系统至关重要.
- 建议由加拿大,美国和英国等国家领导的国际合作,以在全球卫生紧急情况下加强PHC.
- 通过自动化文献识别数据提取,提高资金来源的透明度对于未来的卫生政策至关重要.
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