“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：互联网可使用户即时获取健康相关资讯。本研究旨在对全球及本地谷歌用户中最常见的疼痛部位进行排序，并分析2004-2019年与疼痛相关搜索的长期及季节趋势。 研究设计：回顾性信息流行病学研究。 研究场景：本研究使用谷歌趋势（Google Trends）生成的数据，对共24项与疼痛部位相关的主题的全球关注度及时间进程进行识别与分析。 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化；同时以“腹痛”的相对搜索量（Relative Search Volume, RSV）作为基准，计算所有主题的关注度。 本数据集通过免费工具谷歌趋势（Google Trends）生成，访问地址为https://trends.google.com/trends/?geo=US。数据检索的全部细节已在论文中详述。文件命名与论文中的表格及图件名称一一对应。