Department of Management Science and Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Int J Environ Res Public Health. 2021 Dec 12;18(24):13105. doi: 10.3390/ijerph182413105.
Novel coronavirus disease 2019 (COVID-19) pandemic has had a great impact on global production and life in the past period. Countless researchers devoted themselves to rescuing patients and reducing its impact. Analyzing the literature published during the pandemic and identifying the research priorities is of great significance to quickly discover research gaps, rationally allocate scientific research resources, and promote the development of the global research platform. To understand the swing of research priorities during the pandemic, this paper proposed a research priorities identification framework for pandemic based on scientific literature text analysis. Moreover, a research priority metric model was proposed to measure the characteristics of research priorities, and the empirical analysis from COVID-19 scientific literature was conducted to identify the research priorities during the pandemic. As a result, the research priorities identified by the method proposed in this paper discovered the fine-grained dynamic characteristics along with the process in the pandemic outbreak, and based on this, the emergency scientific research response strategies were discussed to give implications for the public health emergency scientific research and management.
新型冠状病毒病 2019（COVID-19）大流行在过去一段时间内对全球生产和生活产生了巨大影响。无数研究人员致力于拯救患者并减轻其影响。分析大流行期间发表的文献并确定研究重点，对于快速发现研究差距、合理分配科研资源以及促进全球研究平台的发展具有重要意义。为了了解大流行期间研究重点的变化，本文提出了一种基于科学文献文本分析的大流行研究重点识别框架。此外，还提出了一种研究重点度量模型来衡量研究重点的特征，并对 COVID-19 科学文献进行了实证分析，以确定大流行期间的研究重点。结果表明，本文提出的方法所确定的研究重点揭示了大流行爆发过程中的细粒度动态特征，并在此基础上讨论了应急科研应对策略，为突发公共卫生事件的科研和管理提供了启示。
