Public Health Disparities Geocoding Project
The Public Health Disparities Geocoding Project provides free, accessible resources to use geocoding and area-based social metrics (ABSMs) to improve monitoring of and action to address health inequities.
677 Huntington Avenue, Boston, MA 02115
Kresge Building, 7th Floor
Public Health Disparities Geocoding Project 2.0 (2022)
The Public Health Disparities Geocoding Project 2.0 (2022) are part of the Public Health Disparities Geocoding Project, which provides free, accessible resources to use geocoding and area-based social metrics (ABSMs) to improve monitoring of and action to address health inequities.
Materials for our Public Health Disparities Geocoding Project 2.0 training (2022) focus on why & how to analyze population health and health inequities in relation to census tract, county, and other georeferenced societal and environmental data.
We invite you to explore our resources & use them to advance the work for health justice!
To cite this training:
Krieger N and team. The Public Health Disparities Geocoding Training 2.0, Harvard T.H. Chan School of Public Health, Boston, MA (virtual), June 21-27, and July 25-August 1, 2022.
Training and faculty for the Public Health Disparities Geocoding Project 2.0 (PHDGP 2.0)
Each PHDGP 2.0 training included 75 participants, comprising a diverse mix of students, faculty, and staff at health departments, health care agencies, and community-based organizations from across the US and several other countries as well.
PHDGP 2.0 faculty: Nancy Krieger, Jarvis Chen, Pam Waterman, Christian Testa
PHDGP 2.0 RAs: Dena Javadi, Enjoli Hall, Justin Morgan
Grant support: American Cancer Society Clinical Research Professor Award to N. Krieger.
Training manual
Citation for training manual: Testa C, Chen JT, Hall E, Javadi D, Morgan J, Rushovich T, Saha S, Waterman PD, Krieger N. The Public Health Disparities Geocoding Project 2.0. Training Manual. Available as of October 30, 2022. https://phdgp.github.io/PHDGP2.0/index.html
Topics covered in PHDGP 2.0 training
Topics covered in the PHDGP 2.0 training included:
- the history and context of, and rationale for, conducting this type of work
- issues affecting the numerator and denominator data
- conducting analyses with data aggregated to a specified level of geography vs. multi-level analyses with 2 or more levels of geography
- data interpretation and visualization
- the impact of changes to US census data (e.g., differential privacy)
The training consisted of:
- lectures
- small discussion groups
- hands-on work with a variety of data sets
Public use (free) materials
The following PHDGP 2.0 training materials are available for public use, in addition to the training manual:
- Recordings of the lectures delivered during the training:
- The data for the 5 case examples (see below), so that you can work your way through the material covered (the code is available in the training manual chapters for each case study)
Case examples
Information about and data for this case example: Premature Mortality – Massachusetts data
Information about and data for this case example: Breast Cancer Mortality – Massachusetts data
Information about and data for this case example: Cook County COVID – Chicago, IL data
Information about and data for this case example: Temporal Trends in health insurance – American Community Survey (ACS) data, US
Information and data for this case example: Comparing Health Insurance in ACS + CDC’s PLACES data, US)