基于知识图谱的疫情分析现状及趋势研究  

Research on Current Situation and Trend of Epidemic Situation Analysis Based on Knowledge Graph

作　　者：刘佳欣 沈佳伊 LIU Jia-xin;SHEN Jia-yi(College of International economy and trade,Nanjing University Of Finance&Economics,Nanjing 210046)

机构地区：[1]南京财经大学国际经贸学院,江苏南京210046

出　　处：《软件》2020年第8期192-195,共4页Software

摘　　要：对疫情的分析有利于相关部门准确决策,做好防控应对工作,意义深远。本文基于知识图谱理论,利用CNKI数据可视化分析方法、citespace软件,绘制疫情分析年份、学科分布图和已有研究文献间关键词共现知识图谱,对疫情分析领域已有文献分布、研究热点和研究趋势进行分析。研究发现:(1)学术界对于疫情分析的研究仍处于反应式阶段,农业科技、信息科技、基础科学学科在疫情分析研究领域贡献较大;(2)疫情分析中学生服务管理内容、流行特征与发病率视角、医院应急防控体系是目前研究热点;(3)疫情分析中的数字化、多元化、体系化是疫情分析的发展趋势。The analysis of the epidemic situation is conducive to the accurate decision-making of relevant departments,and the prevention and control response work is of great significance.Based on the knowledge graph theory,this article uses CNKI data visualization analysis method and citespace software to draw the epidemic analysis year,subject distribution map and knowledge map of keyword co-occurrence among existing research literatures.Trend analysis.The research found that:(1)The academic research on the epidemic situation analysis is still in a reactive stage,and agricultural science,information technology,and basic sciences have contributed a lot in the field of epidemic situation analysis and research;(2)The content,popular characteristics and characteristics of student service management in epidemic situation analysis The perspective of morbidity and hospital emergency prevention and control system are the current research hotspots;(3)Digitalization,diversification and systematization in epidemic situation analysis are the development trends of epidemic situation analysis.

关 键 词：知识图谱 疫情分析现状 疫情分析趋势 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术] R184.6[医药卫生—流行病学]