Research characteristics distribution and visualization analysis of public health emergencies in China from 2003 to 2022 based on CNKI
Objective To analyze the basic characteristics,hotspots and development trend of the research field of public health emergencies from 2003 to 2022,and to provide reference for related research on public health emergencies.Methods The relevant literature on public health emergencies in China from 2003 to 2022 was searched through the CNKI database,with"public health emergency"as the keyword and the core of Peking University as the source category.Excel 2003 and SPSS 25.0 were used to make statistics on the literature data,and CiteSpace software was used for visualization analysis.Results A total of 1 684 articles were published in the core journals of public health emergencies in China from 2003 to 2022,of which 58.02％were published from 2020 to 2022.The Price index showed a downward trend in general,but it had increased in recent three years.The current Price index P=44.39％.The core journal that collected the most literature was Modem Preventive Medicine,with 175 articles.The most types of issuing institutions were universities and scientific research institutions(272,accounting for 47.89％),followed by government institutions such as Centers for Disease Control and Prevention(191,accounting for 33.63％).The degree of literature cooperation was 2.61,the co-authorship rate was 73.52％,and there were 84 core authors.Keywords such as public health,infectious diseases,schools and emergency response capability had been paid continuous attention by scholars for a long time.Conclusions From 2003 to 2022,the related research popularity on public health emergencies in China continued to increase.The current research literature was relatively new,and the degree of cooperation was relatively extensive and had regional clustering.The research hotspots changed with the occurrence of public health emergencies.The construction of the normalized health emergency management system needs to be further strengthened.
public health emergencyresearch characteristicsvisualization analysis
NETL
NSTL
万方数据
