Big Data for Reproductive Health

Project Summary

Melanie Lai Wai (Statistics) and Saumya Sao (Global Health, Gender Studies) spent ten weeks developing a platform which enables users to understand factors that influence contraceptive use and discontinuation. Their work combined data from the Demographic and Health Surveys contraceptive calendar with open data about reproductive health and social indicators from the World Bank, World Health Organization, and World Population Prospects. This project will continue into the academic year via Bass Connections.

Click here to read the Executive Summary

Themes and Categories
Year
2018
Contact
Paul Bendich
Mathematics
bendich@math.duke.edu

Disciplines Involved: Global Health, PreHealth/PreMed, Gender, Sexuality and Feminist Studies, Public Policy

Project Lead/Manager: Amy Finnegan

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Click here to view the project team's poster

 

Watch the team's final presentation (on Zoom) here: