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July 2004, Vol 94, No. 7 | American Journal of Public Health 1250-1257
© 2004 American Public Health Association


RESEARCH AND PRACTICE

Geographic Clustering of Adult Asthma Hospitalization and Residential Exposure to Pollution at a United States–Canada Border Crossing

Tonny J. Oyana, PhD, Peter Rogerson, PhD and Jamson S. Lwebuga-Mukasa, MD, PhD

Tonny J. Oyana and Peter Rogerson are with the Department of Geography, University of Buffalo, Buffalo, NY. Tonny J. Oyana and Jamson S. Lwebuga-Mukasa are with the Center for Asthma and Environmental Exposure, Lung Biology Research Program, Pulmonary and Critical Division, Department of Internal Medicine, University of Buffalo School of Medicine and Biomedical Sciences, Kaleida Health Buffalo General, Buffalo, NY.

Correspondence: Requests for reprints should be sent to Jamson S. Lwebuga-Mukasa, MD, PhD, Center for Asthma and Environmental Exposure, Lung Biology Research Program, Department of Internal Medicine, UB School of Medicine and Biomedical Sciences, Kaleida Health Buffalo General Division, 100 High St, Buffalo, NY 14203 (e-mail: jlwebuga{at}acsu.buffalo.edu).

Objectives. We conducted a case–control study of adulthood asthma and point-source respirable particulate air pollution with asthma-diagnosed case patients (n = 3717) and gastroenteritis-diagnosed control patients (n = 4129) to determine effects of particulate air pollution on public health.

Methods. We used hospitalization data from Buffalo, NY, neighborhoods for a 5-year period (1996 through 2000), geographic information systems techniques, the Diggle method, and statistical analysis to compare the locations of case patients and control patients in terms of proximity to different known pollution sources in the study area.

Results. We found a clustering of asthma cases in close proximity to the Peace Bridge Complex and the freeways and a dose–response relationship indicating a decreased risk of asthma prevalence the farther an individual resides from the source of exposure.

Conclusions. These findings provide a basis for the development of new hypotheses relating to the spatial distribution of asthma prevalence and morbidity in this community.




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