首页    期刊浏览 2024年11月07日 星期四
登录注册

文章基本信息

  • 标题:OK Computer? A Time Analysis of Google Searches About Symptoms
  • 本地全文:下载
  • 作者:Keith J. Petrie ; Kate MacKrill ; Connor Silvester
  • 期刊名称:Clinical Psychology in Europe
  • 电子版ISSN:2625-3410
  • 出版年度:2019
  • 卷号:1
  • 期号:2
  • DOI:10.32872/cpe.v1i2.32774
  • 语种:English
  • 出版社:PsychOpen
  • 摘要:[Background] Google searches are now a popular way for individuals to seek information about the significance of common symptoms and whether they should seek medical assistance. As analysis of search patterns may help understand the demand for medical care, we examined what times over a 24-hour period and on what days of the week people searched Google for information about common symptoms. [Method] We analysed Google searches for symptoms in the United Kingdom during the week from July 30 to August 5, 2018 using Google Trends. We recorded the time points with the highest search volume for 50 common symptoms relative to other searches, and the day of the week with the highest search peak for each particular symptom. [Results] All of the peak searches for the symptoms we examined occurred during the night between 10pm and 8am. The majority 32/50 (64%) occurred between 3am to 6am with 12/50 (24%) between midnight and 3am. Most symptom searches were more common during the week and lowest during the weekend. Typically, searches for a particular symptom peaked at a similar time each night over the week. [Conclusions] Searches for symptoms are significantly more common during night-time hours, and particularly between 3 and 6am. Symptom searches show relatively stable diurnal and weekly patterns.
国家哲学社会科学文献中心版权所有