199732 Creating a GIS Infrastructure to evaluate air qualityŒs effect on health outcomes

Wednesday, November 11, 2009: 10:30 AM

Richard Krajenta, BS , Department of Biostatistics and Research Epidemiology, Henry Ford Health System, Detroit, MI
Jason Booza, PhD , Department of Family medicine, Wayne State University, Detroit, MI
Alice Grgicak-Mannion, BES , Great Lakes Institute for Environmental Research - University of Windsor, Windsor, ON, Canada
Lois Lamerato, PhD , Department of Biostatistics and Research Epidemiology, Henry Ford Health System, Detroit, MI
Helene Krouse, PhD, ANP-BC, FAAN , College of Nursing, Wayne State University, Detroit, MI
John Reiners, PhD , Institute of Environmental Health Sciences, .Wayne State University, Detroit, MI
Delbert Martin Raymond, RN, PhD , School of Nursing, Eastern Michigan University, Ypsilanti, MI
Linda Weglicki, PhD RN , National Institute of Nursing Research, National Institutes of Health, Bethesda, MD
Background: Air pollution exposure is a complex and heterogeneous condition. The association of air pollution with disease is consistently established in many epidemiological studies. This creates a need for an infrastructure to measure both air pollution levels and health outcomes geospatially.

Methods: As part of the North American Public Health Institute, we developed a multidisciplinary, international research team encompassing Windsor, Ontario, Canada and Detroit, Michigan, USA. While this geographic region consists of a single air-shed it exhibits different socioeconomic conditions and health delivery systems. We deployed 100 active and/or passive pollution samplers across this common air-shed based on U.S. Environmental Protection Agency guidelines for ambient air monitoring to determine levels of gaseous (i.e., NO2, SO2), volatile and particulate pollutants at a resolution greater than what is currently available. We are collecting asthma-related health outcomes for the populations residing within this region using emergency room, clinic, and hospital encounters from American and Canadian health care providers. Utilizing global positioning satellite for pollution sampler allocation and geocoding technique for patient address location, we created a complex mappable system to relate air pollution components and levels to health outcomes.

Conclusion: Establishing a geospatial information system (GIS) integrated database with both pollution measurements and health outcomes creates a comprehensive resource. This infrastructure is flexible enough to investigate the effects of air pollution on many diseases, such as respiratory and cardiovascular disease, by physical and mathematic modeling. We can also compare health outcomes by health delivery system.

Learning Objectives:
Describe the creation of a geospatial infrastructure to evaluate the association of air pollution to adverse health events.

Keywords: Geocoding, Air Pollutants

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I am the main geocoder at Henry Ford Health System. I have been involved in all aspects of this study.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.