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Data Analysis in Coronavirus based on Knowledge Graph of Chinese Literature

机译:基于中国文学知识图的冠状病毒数据分析

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The current situation, hot spot and trend of coronavirus research in public health of China are discussed, which provides reference for the future research and direction of coronavirus. Based on statistical analysis methods such as bibliometric and knowledge mapping, the visual software CiteSpace was used to analyze the knowledge mapping constructed by keywords, clustering, authors and research institutions. Domestic scholars have analyzed and discussed virus tracing, transmission mechanism, virus detection, disease diagnosis and treatment, drug research and development, epidemic situation assessment and other aspects of coronavirus. It has become a trend to use new technologies to improve research and development programs. In addition, traditional Chinese medicine will play an increasingly important role in the future research of coronavirus in public health.
机译:讨论了中国公共卫生冠状病毒研究的现状,热点和趋势,为冠状病毒未来的研究和方向提供了参考。基于统计分析方法,如生物计量和知识映射,可视化软件CITESCACE用于分析由关键字,集群,作者和研究机构构建的知识映射。国内学者已经分析和讨论了病毒追踪,传动机制,病毒检测,疾病诊断和治疗,药物研发,流行情况评估等方面的冠状病毒。它已成为利用新技术来改善研发计划的趋势。此外,中医药将在公共卫生冠状病毒的未来研究中发挥越来越重要的作用。

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