Big Data for Reproductive Health (2018-2019)
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. 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 to effect change.
This project team partnered with local and international stakeholders to built a prototype of an online platform that curates freely available, raw data on contraceptive discontinuation from household surveys into a tool that makes higher-resolution inferences possible by members of the family planning community.
Team members also conducted a literature review on the intersection of big data and contraceptive use. Using this research, the team applied two big data methods (neural networks and unsupervised machine learning) to contraceptive calendar data from the Demographic and Health Survey (DHS). The team’s work led to the creation of a “See the Switch” infographic that highlights the frequency of use for various contraception methods.
Fall 2018 – Spring 2019
Big Data for Reproductive Health (interactive tool by Megan Huchko, Amy Finnegan, Kelly Hunter, Amy Herring. Anuraadhaa Kandadai, Melanie Lai WaiZhou Fang, Katherine Gan, Anna Matthiasson, Cecelia Mizelle, Molly Paley, Nicole Rapfogel, Saumya Sao, Elizabeth Shulman, Samhitha Sunkara)
Amy Finnegan, Saumya S. Sao, Megan J. Huchko. 2019. “Using a chord diagram to visualize dynamics in contraceptive use: Bringing data into practice,” Global Health: Science and Practice 7(3).
Big Data for Reproductive Health (poster by Amy Finnegan, Megan Huchko, Kelly Hunter, Daisy Fang, Katherine Gan, Anu Kandadai, Colby Matthiasson, Celia Mizelle, Molly Paley, Nicole Rapfogel, Saumya Sao, Liz Shulman, Samhitha Sunkara, Melanie Lai Wai, presented at Bass Connections Showcase, Duke University, April 17, 2019; winner, Bass Connections Poster Competition, Judges’ Selection)
This Team in the News
- Amy Finnegan, IntraHealth International
- Megan Huchko, School of Medicine-Obstetrics and Gynecology
/graduate Team Members
Kelly Hunter, Public Policy Studies-PHD
Anuraadhaa Kandadai, Economics and Computation-MS
Melanie Lai Wai, Statistical Science - MS
/undergraduate Team Members
Zhou Fang, Statistical Science (BS)
Katherine Gan, Gender Sexuality & Fem St(AB)
Anna Matthiasson, Computer Science (BS)
Cecelia Mizelle, Biology (BS)
Molly Paley, Public Policy Studies (AB)
Nicole Rapfogel, Public Policy Studies (AB)
Saumya Sao, Gender Sexuality & Fem St(AB)
Elizabeth Shulman, Interdepartmental Major
Samhitha Sunkara, Economics (BS)
/yfaculty/staff Team Members
Amy Herring, Arts & Sciences-Statistical Science
/zcommunity Team Members
Alex Pavluck, RTI International