“Dr. Google, I am in pain”—Global Internet searches associated with pain: A retrospective analysis of Google Trends data

Objective. The Internet enables immediate access to health-related information. We aimed to rank the most common locations of pain among Google users globally and locally and analyze secular and seasonal trends in pain-related searches in the years 2004-2019. Design. Retrospective infodemiological study. Setting. We used data generated by Google Trends (GT) to identify and analyze global interest and the time course of topics (n = 24) related to locations of pain. Subjects. Google users. Methods. We analyzed secular trends and time series decomposition to identify seasonal variations. We also calculated the interest in all topics with reference to the relative search volume (RSV) of “Abdominal pain”. The dataset was generated using a freely available tool Google Trends: https://trends.google.com/trends/?geo=US All details of the retrieval of the data are described in the manuscript. Name of the files refers to the name of tables and figures in the manuscript研究目的：互联网可实现健康相关资讯的即时获取。本研究旨在对全球及本地谷歌用户最常见的疼痛部位进行排名，并分析2004至2019年间疼痛相关搜索的长期趋势与季节变化趋势。 研究设计：回顾性信息流行病学研究。 数据来源：本研究采用谷歌趋势（Google Trends, GT）生成的数据，以识别并分析24项与疼痛部位相关主题的全球关注度及时序特征。 研究对象：谷歌用户。 研究方法：本研究通过分析长期趋势与时间序列分解来识别季节变异；同时以“腹痛”的相对搜索量（Relative Search Volume, RSV）作为参照，计算所有主题的关注度。本数据集通过公开工具谷歌趋势生成，访问网址为https://trends.google.com/trends/?geo=US。所有数据检索细节均已在论文中详述。文件名对应论文中的表格与图名。