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日本抗流感疫苗与促流感疫苗网站:一项文本挖掘分析。

Japanese anti- versus pro-influenza vaccination websites: a text-mining analysis.

机构信息

Department of Health Communication, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.

出版信息

Health Promot Int. 2019 Jun 1;34(3):552-566. doi: 10.1093/heapro/day015.

DOI:10.1093/heapro/day015
PMID:29584863
Abstract

Anti-vaccination sentiment exists worldwide and Japan is no exception. Health professionals publish pro-influenza vaccination messages online to encourage proactive seeking of influenza vaccination. However, influenza vaccine coverage among the Japanese population is less than optimal. The contents of pro- and anti-influenza vaccination websites may contribute to readers' acceptance of one or the other position. We aimed to use a text-mining method to examine frequently appearing content on websites for and against influenza vaccination. We conducted online searches in January 2017 using two major Japanese search engines (Google Japan and Yahoo! Japan). Targeted websites were classified as 'pro', 'anti' or 'neutral' depending on their claims, with author(s) classified as 'health professionals', 'mass media' or 'laypersons'. Text-mining analysis was conducted, and statistical analysis was performed using a chi-squared test. Of the 334 websites analyzed, 13 content topics were identified. The three most frequently appearing content topics on pro-vaccination websites were vaccination effect for preventing serious cases of influenza, side effects of vaccination, and efficacy rate of vaccination. The three most frequent topics on anti-vaccination websites were ineffectiveness of influenza vaccination, toxicity of vaccination, and side effects of vaccination. The main disseminators of each topic, by author classification, were also revealed. We discuss possible tactics of online influenza vaccination promotion to counter anti-vaccination websites.

摘要

反疫苗情绪在全球范围内存在,日本也不例外。健康专业人员在网上发布支持流感疫苗接种的信息,以鼓励人们积极接种流感疫苗。然而,日本人口的流感疫苗接种率并不理想。支持和反对流感疫苗接种网站的内容可能会影响读者对其中一种立场的接受程度。我们旨在使用文本挖掘方法来检查支持和反对流感疫苗接种的网站上经常出现的内容。我们于 2017 年 1 月使用两个主要的日本搜索引擎(Google Japan 和 Yahoo! Japan)进行了在线搜索。根据网站的声明,将目标网站分为“支持”、“反对”或“中立”,作者则分为“健康专业人员”、“大众媒体”或“普通大众”。我们进行了文本挖掘分析,并使用卡方检验进行了统计分析。在分析的 334 个网站中,确定了 13 个内容主题。支持疫苗接种网站上出现频率最高的三个内容主题是疫苗接种预防流感严重病例的效果、疫苗接种的副作用以及疫苗接种的有效率。反对疫苗接种网站上出现频率最高的三个内容主题是流感疫苗接种无效、疫苗接种的毒性和疫苗接种的副作用。按作者分类,还揭示了每个主题的主要传播者。我们讨论了在线流感疫苗接种推广的可能策略,以对抗反疫苗接种网站。

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