IHME estimates are freely available for non-commercial use to the world’s researchers and policymakers according to GATHER best practices.
What is GATHER?
The Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER) statement defines best practices for documenting studies that synthesize evidence from multiple sources to quantitatively describe past and current population health and its determinants.
These practices include documenting and sharing data inputs, estimates, and analyses and methods. Documenting the data inputs on which estimates are based, and the methods by which estimates are derived, is essential for the accurate interpretation and use of estimates.
Our research has been fully aligned with the suggestions outlined in GATHER since its launch in 2016.
Learn more on the GATHER website→
Where does IHME share its data inputs?
We share source information about data inputs for all our research projects in the Global Health Data Exchange (GHDx), our catalog of the world’s health and demographic data.
Source information about data inputs for the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) can be found through our GBD Data Input Sources Tool. The tool allows users to explore the GBD study’s input sources based on various criteria, and to export them.
For each input source, you can find:
- Reference information
- Location, sex, age range of population represented
- Years of data collection
- Sample size
- Standard error
- Links to the original provider of the dataset when possible
Where can I download IHME estimates?
Estimates from our research projects, including GBD, can be downloaded from:
Learn more about how to download IHME data→
Where does IHME share its analyses and methods?
Information about our analyses and methods can be found in:
- Our peer-reviewed research articles
- The mortality visualization, an interactive data visual showing how input data become estimates
- An Integrative Metaregression Framework for Descriptive Epidemiology, a book providing an in-depth explanation of IHME's disease modeling process