This repository contains code for Mathematica's entry to Phase 2 of the AHRQ Visualization Resources of Community-Level Social Determinants of Health (SDoH) Challenge.
For more information, please contact Kelsey Skvoretz at KSkvoretz@mathematica-mpr.com and Margaret Luo at MLuo@mathematica-mpr.com.
- data/
- for storing intermediate and final datasets and dictionaries
- pipeline/
- for scraping and cleaning demographic, social determinant of health (SDoH), and outcome data
- all of the cleaned data is output into the data/cleaned folder, to be picked up, merged, and utilized by pipeline.py
- data-insights/
- for examining preliminary insights
- methodology/
- for calculating county-level SDoH scores and similarities
- DockerShinyApp/
- for building the Docker container and launching the Community Connector app
- Kelsey Skvoretz - back-end lead
- Margaret Luo - front-end lead
- Evelyn Cody - methodology & front-end support
- Addison Larson - front-end support
- Emma Pendl-Robinson - pipeline & front-end support
- Keri Calkins - research lead, methodology support, & back-end support
- Elena Saavedra Jimenez - UX lead and graphics designer
- Aaron White - technical consultant
- George Gallo - AWS support
- Additional thanks to Stephanie Tuerk, Alex Bohl, and Ravi Goyal