The Public Health Disparities
Geocoding Project Monograph

Geocoding and Monitoring US Socioeconomic Inequalities in Health:
An introduction to using area-based socioeconomic measures
WHY?
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HOW TO
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TOOLS
Executive Summary
Introduction
Publications
Geocoding
Generating ABSMs
Analytic Methods
Multi-level Modeling
Visual Display
Case Example
U.S. Census Tract Poverty Data
Glossary

TRAINING COURSE
(click here for a pdf version of this page)

Concerned about social inequalities in health?
Want to learn how to use census data to characterize an area’s socioeconomic composition?
Interested in learning how to convert an address into its census tract geocode?
Want to improve your capacity to monitor and analyze health inequities?

Then sign up for our “Public Health Disparities Geocoding Training Course”!

This 2-day course at the Harvard School of Public Health will be taught by Dr. Nancy Krieger, Dr. Jarvis T. Chen, Dr. SV Subramanian, Pamela D. Waterman, and Dr. David H. Rehkopf. Based on the work of the Public Health Disparities Geocoding Project, the course will consist of 4 modules that combine lecture, on-line demonstration, and hands-on training in a computer microlab, as follows:

Tentative Schedule:
Day 1
Registration 8:00 - 8:30 am
Introduction & Overview 8:30 – 9:00 am
Module 1: Introduction to studying social inequalities in health using geocoding and area-based socioeconomic measures (lecture) 9:00 – 10:15 am
Module 2 (Part 1): Geocoding health data and creating area-based socioeconomic measures: methods and application (lecture) 10:30 – 12 noon
Module 3 (Part 1): Analyzing health data stratified by area-based socioeconomic measures: methods and application ( lecture) 1:00 - 2:30 pm
BreakOut Groups & Open Discussion 2:45 – 4:15 pm
Orientation to Part 2 of Modules 2 & 3 (followed by time to prepare for Day 2) 4:15 – 4:30 pm
Day 2
Modules 2 & 3 (Part 2): (Hands-on training) 8:00 – 10:30 am
Module 4: Introduction to multi-level analysis of geocoded public health data (lecture and demonstration) 11:00 – 12:45 pm
Discussion 1:30 - 2:15 pm
Wrap-Up & Final Comments: Nancy Krieger 2:15– 2:30 pm


The aim of the training course is to educate population health researchers and data analysts in concepts, methods, and approaches to geocoding public health data, generating census-derived area-based socioeconomic measures, and using these data to investigate and monitor social disparities in health.

Please note that although we will be discussing the use of geocoding, GIS, and multi-level analyses as tools for researching socioeconomic disparities in health, we will not be teaching participants how to use geocoding software, how to write programs to conduct multi-level or spatial analyses, or how to make maps.

To encourage links between academia and public health departments:

• Each 2-day session is designed to accommodate 25 participants and is open to academic researchers (including established researchers, postdoctoral fellows, and doctoral students), and state and local health department (or comparable health agency) data analysts, program directors, and epidemiologists.

• Travel expenses – up to $400 per person – and free lodging will be provided for each participant.

click here to DOWNLOAD AN APPLICATION

Questions? E-mail us at geoproj@hsph.harvard.edu
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This work was funded by the National Institutes of Health (1RO1HD36865-01) via the National Institute of Child Health & Human Development (NICHD) and the Office of Behavioral & Social Science Research (OBSSR).
Copyright © 2004 by the President and Fellows of Harvard College - The Public Health Disparities Geocoding Project.