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AJPH First Look, published online ahead of print Jan 31, 2006
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March 2006, Vol 96, No. 3 | American Journal of Public Health 499-504
© 2006 American Public Health Association
DOI: 10.2105/AJPH.2005.071373

OPPORTUNITIES AND DEMANDS IN PUBLIC HEALTH SYSTEMS

Policy and Programmatic Importance of Spatial Alignment of Data Sources

Paul Ong, PhD, Matthew Graham, MA and Douglas Houston, MA

Paul Ong is with the School of Public Affairs and the Ralph and Goldy Lewis Center for Regional Policy Studies, University of California, Los Angeles. Matthew Graham is with Abt Associates, Cambridge, Mass. Douglas Houston is a doctoral student in urban planning at the University of California, Los Angeles.

Correspondence: Requests for reprints should be sent to Paul Ong, PhD, UCLA School of Public Affairs, 405 Hilgard Ave, Los Angeles, CA 90095 (e-mail: pmong{at}ucla.edu).

Geographic information systems have proven instrumental in assessing environmental impacts on individual and community health, but numerous methodological challenges are associated with analyses of highly localized phenomena in which spatially misaligned data are used.

In a case study based on child care facility and traffic data for the Los Angeles metropolitan area, we assessed the extent of facility misclassification with spatially unreconciled data from 3 different governmental agencies in an attempt to identify child care centers in which young children are at risk from high concentrations of toxic vehicle-exhaust pollutants. Relative to geographically corrected data, unreconciled information produced a modest bias in terms of aggregated number of facilities at risk and a substantial number of false positives and negatives.




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D. Houston, P. Ong, J. Wu, and A. Winer
Proximity of Licensed Child Care Facilities to Near-Roadway Vehicle Pollution
Am J Public Health, September 1, 2006; 96(9): 1611 - 1617.
[Abstract] [Full Text] [PDF]


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