Our Mission

Making reproductive health data more accessible in a big way.

One-third of women who begin using a modern method of contraception in low-income countries discontinue within the first year, and half within the first two years, putting them at risk for unintended pregnancies as well as maternal morbidity and mortality (Castle & Askew, 2015).

The current method of measuring contraceptive discontinuation (quitting, switching and method failure) relies on household surveys collected in five-year intervals through a retrospective monthly contraceptive calendar. This measurement provides a broad overview of discontinuation, but does not show the granular details often needed to develop programs that effect change.

Big Data for Reproductive Health aims to make calendar data accessible through visualization tools that allow users to examine correlations and trends over time, explore aggregated DHS Program data, make predictions, and more!