摘要
目的通过对高血压相关网络大数据舆情的分析,了解新闻媒体和自媒体对高血压关注的程度和焦点,为我国慢性非传染性疾病的防控和宣传教育提供依据。方法利用计算机网络爬虫和深度挖掘技术所构建的全球健康信息平台,收集2016年1月1日~2016年12月31日国内15 000余个网络媒体中高血压相关的舆情数据。应用文献计量法,词频分析法和内容分析法进行高血压热点分析。结果获取关于高血压的有效题录为2 611 251条。结果发现:高血压关注热度与发病季节、重大事件和区域发展水平等因素相关;高血压舆情侧重于饮食、营养、临床治疗等方面;世界卫生组织提出的慢性非传染性疾病的危险因素,如:吸烟,酗酒等均未出现在前60位热词中。结论网络舆情对于高血压的宣传教育不足,建议我国以后的舆情导向应更强调慢性病的一级预防。有效利用网络数据来提高全民健康素养,对促进我国健康事业发展和非传染性疾病的防控有重要意义。
Objective Based on the public opinions from internet big data about hypertension, the aim of this study was to analyze public focus and attention in order to provide evidence for the prevention strategies and propagate education of chronic non-communicable diseases in China. Methods The Global Health Information Platform was created by using web crawler and deep mining technology, which collected public opinions from more than 15 000 news media and social media websites. Public opinions about hypertension from Jan 1 st 2016 to Dec 31 st 2016 were collected by the platform. Bibliometric method, TF-IDF method and content analysis methods were used to analyze the hot topics of hypertension. Resuits The number of effective index on hypertension was 2 611 251. The public attention level was related to the season, major events, the level of regional economic development and other related factors. The content of public opinions about hypertension mainly focused on diet, nutrition, hypertension related diseases, medical treatment and other aspects. The risk factors of chronic, non-communicable diseases proposed by World Health Organization (WHO) , like smoking, alcoholism, etc. were not in the top 60 hot words list. Conclusions The public opinions on internet indicates that the prevention edu-cation on hypertension is not sufficient. It is suggested that the primary prevention of chronic non-communicable diseases should be emphasized in the future. Effectively using the network data to improve all citizens' health literacy is of great sig-nificance to China' s health development and prevention of non-communicable diseases.
作者
胡诗琪
戈三玉
谢冬冬
毛宗福
姬东鸿
梁晓晖
HU Shi-qi;GE San-yu;XIE Dong-dong;MAO Zong-fu;JI Dong-hong;LIANG Xiao-hui(School of Health Sciences, Global Health Institute, Wuhan University, Wuhan 430072, China;Computer School, Research Institute of Computer Application, Wuhan University, Wahan 430072, China)
出处
《中华疾病控制杂志》
CAS
CSCD
北大核心
2018年第5期518-521,共4页
Chinese Journal of Disease Control & Prevention
基金
国家自然科学基金(61373108)
湖北省自然科学基金(2013CFB292)
关键词
高血压
慢性非传染性疾病
网络大数据
词频分析
Hypertension
Non-communicable diseases
Internet big data
TF-IDF analysis