Welcome to the BayesCoverage project!

Background

The BayesCoverage project was launched in 2024 by Countdown to 2030 as a statistical modeling capacity strengthening and analysis project. The goal of the project was to develop statistical models for estimating and forecasting health coverage indicators using both survey and routine data.

BayesCoverage Model

We developed a Bayesian hierarchical temporal model that provides national and subnational estimates and forecasts of coverage indicators, using survey and routine data. This modeling approach is implemented in R packages and integrated into the Countdown data suite, making it accessible for practitioners and analysts working on health coverage assessment.

FPET

The BayesCoverage modeling approach builds on the Family Planning Estimation Tool (FPET). FPET estimates and forecasts family planning indicators—such as modern contraceptive use—using survey and routine data. Additional information about FPET is available on the FPET page.

Training in Bayesian Modeling

The project included training designed to strengthen participants’ understanding of Bayesian methods and their application to coverage indicator estimation and forecasting. Training materials are available on the training page.

Contact

For questions and suggestions, please contact Leontine Alkema (lalkema@umass.edu).