easyGBDR : An Integrated R Toolkit for Comprehensive Secondary Analysis of Global Burden of Disease Database

The Global Burden of Disease (GBD) database provides essential primary data for public health research. However, its complexity and diversity pose challenges for conducting advanced secondary analyses. To address these challenges, we developed easyGBDR , an innovative integrated R toolkit designed to facilitate the secondary analysis of GBD data. This package offers a comprehensive analytical workflow that encompasses data acquisition and preprocessing through to advanced statistical modeling and visualization. easyGBDR supports various epidemiological methods, including trend analysis, age‐period‐cohort (APC) modeling, future disease burden projection, decomposition analysis, frontier analysis, and health inequality assessment. By automating data handling processes and standardizing procedures while generating publication‐ready tables and figures, easyGBDR significantly reduces the technical barriers associated with robust GBD‐based research. This toolkit enhances reproducibility, accelerates evidence generation, and empowers researchers across all levels of expertise to extract meaningful public health insights from one of the world's most comprehensive health databases. Consequently, easyGBDR serves as a vital resource for advancing evidence‐informed policy and practice in global health.