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基于网络高血压热词的慢病预防策略分析
引用本文:胡诗琪, 戈三玉, 谢冬冬, 毛宗福, 姬东鸿, 梁晓晖. 基于网络高血压热词的慢病预防策略分析[J]. 中华疾病控制杂志, 2018, 22(5): 518-521. doi: 10.16462/j.cnki.zhjbkz.2018.05.019
作者姓名:胡诗琪  戈三玉  谢冬冬  毛宗福  姬东鸿  梁晓晖
作者单位:1. 武汉大学健康学院全球健康研究中心, 湖北 武汉 430072;;;2. 武汉大学计算机学院计算机应用研究所, 湖北 武汉 430072
基金项目:国家自然科学基金(61373108);湖北省自然科学基金(2013CFB292)
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。

关 键 词:高血压   慢性非传染性疾病   网络大数据   词频分析
收稿时间:2017-12-27
修稿时间:2018-02-27

Prevention strategies of non-communicable diseases based on hypertension hot words from internet
HU Shi-qi, GE San-yu, XIE Dong-dong, MAO Zong-fu, JI Dong-hong, LIANG Xiao-hui. Prevention strategies of non-communicable diseases based on hypertension hot words from internet[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2018, 22(5): 518-521. doi: 10.16462/j.cnki.zhjbkz.2018.05.019
Authors:HU Shi-qi  GE San-yu  XIE Dong-dong  MAO Zong-fu  JI Dong-hong  LIANG Xiao-hui
Affiliation:1. School of Health Sciences, Global Health Institute, Wuhan University, Wuhan 430072, China;;;2. Computer School, Research Institute of Computer Application, Wuhan University, Wuhan 430072, China
Abstract: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 1st 2016 to Dec 31st 2016 were collected by the platform. Bibliometric method, TF-IDF method and content analysis methods were used to analyze the hot topics of hypertension.Results 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 education 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 significance to China's health development and prevention of non-communicable diseases.
Keywords:Hypertension  Non-communicable diseases  Internet big data  TF-IDF analysis
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