Document Detail

Policy and programmatic importance of spatial alignment of data sources.
MedLine Citation:
PMID:  16449576     Owner:  NLM     Status:  MEDLINE    
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.
Paul Ong; Matthew Graham; Douglas Houston
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Publication Detail:
Type:  Journal Article     Date:  2006-01-31
Journal Detail:
Title:  American journal of public health     Volume:  96     ISSN:  0090-0036     ISO Abbreviation:  Am J Public Health     Publication Date:  2006 Mar 
Date Detail:
Created Date:  2006-02-22     Completed Date:  2006-04-14     Revised Date:  2013-06-07    
Medline Journal Info:
Nlm Unique ID:  1254074     Medline TA:  Am J Public Health     Country:  United States    
Other Details:
Languages:  eng     Pagination:  499-504     Citation Subset:  AIM; IM    
UCLA School of Public Affairs, 405 Hilgard Ave, Los Angeles, CA 90095, USA.
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MeSH Terms
Automobiles / statistics & numerical data*
Bias (Epidemiology)
Child Day Care Centers / statistics & numerical data*
Geographic Information Systems*
Health Policy*
Research Design
Vehicle Emissions / adverse effects
Reg. No./Substance:
0/Vehicle Emissions

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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