Available at: 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 a 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. Each 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.
The team is now thrilled to make freely available the resources they developed for these trainings, including an easy-to-navigate online manual!
The resources are available at their website.
Topics covered included:
- the history and context of, and rationale for, conducting this type of work
- conceptual & methodological issues involved in creating area-based social metrics (ABSMs)
- summarizing health inequities by ABSMs
- multilevel & spatial models for health disparities research
- & the content covered is summarized in their graphics below
The materials available at their website include:
- The training manual
- Recordings of the lectures
- The data & code for the 5 case examples (see below), so that you can work your way through the material covered!
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Case example #1 (premature mortality – Massachusetts data)
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Case example #2 (breast cancer mortality – Massachusetts data)
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Case example #3 (COVID-19 – Chicago, IL data)
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Case example #4 (Temporal Trends in health insurance – American Community Survey (ACS) data, US)
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Case example #5 (Comparing Health insurance in ACS + CDC’s PLACES data, US)
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Please explore these resources & use them to advance the work for health justice!