Introduction

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.

Contents

• 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

Authors

• 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

Advisors

• 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