The Institute for Health Metrics and Evaluation (IHME) provides several resources for GBD analysis:
GBD Compare Tool: While primarily web-based, it allows data export that you can analyze in R
GHDx (Global Health Data Exchange): Contains datasets and some analytical tools
IHME GitHub repositories: Sometimes contain R scripts for specific studies
R Packages for GBD Analysis
Several R packages are specifically designed for burden of disease calculations:
DISMOD: For disease modeling
YLLs: For Years of Life Lost calculations
DALYs: For Disability-Adjusted Life Years analysis
WHO-FIC: For working with International Classification of Diseases
Academic and Research Sources
Published GBD studies: Often include supplementary materials with R code
University repositories: Many epidemiology departments share GBD analysis scripts
Research collaboration platforms: Like ResearchGate where researchers share code
Community Resources
R-epidemiology mailing lists and forums
GitHub repositories: Search for "GBD analysis R" or "burden of disease R"
Stack Overflow: Has discussions on specific GBD calculation methods
Getting Started
If you're new to GBD analysis in R, I'd recommend:
Starting with the basic epidemiological packages (epiR, epitools)
Learning the core GBD methodology from IHME's documentation
Practicing with sample datasets before working with full GBD data
Bayeh Abera What specific aspect of GBD analysis are you most interested in? Depends on if you're focusing on mortality, morbidity, risk factors, or comparative assessments.