“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：互联网可让用户即时获取健康相关资讯。本研究旨在对全球及区域谷歌用户中最常见的疼痛部位进行排序，并分析2004至2019年间与疼痛相关搜索的长期趋势与季节变化规律。
研究设计：回顾性信息流行病学研究。
研究数据来源：本研究采用谷歌趋势（Google Trends, GT）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变化轨迹进行识别与分析。
研究对象：谷歌平台用户。
研究方法：本研究通过分析长期趋势并开展时间序列分解，以识别季节变异特征；同时以「腹痛」的相对搜索量（Relative Search Volume, RSV）作为参照基准，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，访问链接为：https://trends.google.com/trends/?geo=US。所有数据检索细节均已在本研究论文中详述。数据集文件名对应论文中的表格与图件名称。