Vaccine coverage
Vaccines are a powerful tool for saving lives and improving health, but their power can be diluted by gaps in coverage. We study routine childhood immunizations to understand and address these gaps.
Photo by Heather Hazzan for SELF magazine, Flickr.
How can I download vaccine coverage data?
Our vaccine coverage data are the latest estimates available and may differ from previous estimates published in journals. After entering your email, you will be redirected to a Nextcloud folder where the data are free to download.
Which data sources did you use?
Our data sources include both survey data and administrative data, recorded in the Nextcloud folder and our data catalog, the Global Health Data Exchange (GHDx).
- Survey data includes the Demographics and Health Survey and others.
- Administrative data refers to official data reported by countries to WHO.
Low- and Middle-Income Country MCV1 Coverage Geospatial Estimates 2000-2019
Global Burden of Disease Study 2020, Release 1 (GBD 2020 R1) Routine Childhood Vaccination Coverage 1980-2019
How do you address lower-quality data or gaps in data?
We check for data quality issues before running our models both by analyzing the data and by looking at external sources of information about the data. Where possible, we use statistical techniques to quantify and adjust for biases in the data – for instance, we adjust for the difference between survey data and official country-reported data.
In some cases, when there are significant concerns about data quality, those sources may be excluded from the models. Our models use trends in time and predictive covariates to produce estimates of vaccine coverage for locations and years in which no data are available.
We also produce estimates of the uncertainty for our predictions – when data are sparse or conflicting, our estimates are more uncertain.
While these models provide valuable insights into vaccination coverage in settings where data are missing or of lower quality, they aren’t a replacement for high-quality data. We support the broader efforts of the immunization community to strengthen data quality.
How can I contribute data or share feedback on estimates?
To learn how you can contribute to this project, email us at [email protected].