Dynamic Patterns of Healthy Lifestyle Awareness After Covid 19 : A Study Using Google Trends and Joinpoint Regression

The dataset was derived from publicly accessible search query data using Google Trends (https://trends.google.com), with Indonesia set as the geographical location and weekly search interest selected as the time scale. Six health behavior domains. Data were collected for the period of January 2019 to December 2023. The downloaded data provided weekly Relative Search Volume (RSV) scores, which were cleaned and reformatted using Microsoft Excel. A numerical week variable was added (Week 1 to Week 262) to match the input format required for Joinpoint Regression Software (version 5.0.2, developed by the US National Cancer Institute). These prepared files were then analyzed using Joinpoint Regression to identify significant changes in trends over time. The resulting graphs and outputs were generated directly from the Joinpoint software based on these formatted input files.