The Public Health Disparities Geocoding Project 2.0

In June and July 2022, the Public Health Disparities Geocoding Project, based at the Harvard TH Chan School of Public Health (Boston, MA), hosted new, thoroughly updated and revised FREE 4-day  virtual trainings on why & how to analyze population health and health inequities in relation to census tract, county, and other georeferenced societal and environmental data.

Topics covered 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

Limited to 75 participants per session – students, faculty, and staff at health departments, health care agencies, and community-based organizations that work with local health data were especially encouraged to apply.

The live virtual components of the training (lectures & hands-on training) will took place in 2022 on:

TRAINING OPTION #1:
• Tuesday, June 21 (Day 1): 1-5 pm EDT
• Wednesday, June 22 (Day 2): 1-5 pm EDT
• Friday, June 24 (Day 3): 1-5 pm EDT
• Monday, June 27 (Day 4): 1-5 pm EDT

AND

TRAINING OPTION #2:
• Monday, July 25 (Day 1): 1-5 pm EDT
• Wednesday, July 27 (Day 2): 1-5 pm EDT
• Friday, July 29 (Day 3): 1-5 pm EDT
• Monday, August 1 (Day 4): 1-5 pm EDT

• In the days between  live virtual sessions,  participants worked in small groups of 5 on their assignments.

Questions? Send us an email: geoproj@hsph.harvard.edu.

PHDGP 2.0 faculty: Nancy Krieger, Jarvis Chen, Pam Waterman, Christian Testa, Rachel Nethery
PHDGP 2.0 RAs: Dena Javadi, Enjoli Hall, Justin Morgan

Grant support: American Cancer Society Clinical Research Professor Award to N. Krieger.