Literature DB >> 11018420

Geographic information systems. A new tool in environmental epidemiology.

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Abstract

PURPOSE: Geographic Information Systems (GIS) are useful tools for identifying populations with potential exposure to environmental contaminants. Using a GIS, features of the local environment around an individual's home, work, or school can be described. We present two examples illustrating methods and issues in identifying populations potentially exposed to agricultural pesticides and to toxic releases from the Toxic Release Inventory (TRI).
METHODS: We used USDA Farm Service Agency records as ground reference data to classify a late summer 1984 satellite image into crop species in 3 counties in Nebraska. We located residences from a case-control study of non-Hodgkin's lymphoma (NHL) on the crop maps and calculated the distance to crop fields. Residences from a 4-center study of NHL were mapped and the distance to TRI sites was determined.
RESULTS: Twenty-two percent of residences had crop fields within 500 meters of the home, an intermediate distance for the range of drift effects from pesticide applications. After accounting for the extent of primary drift from ground applications of pesticides, we estimated that 30 percent of residences were potentially exposed to crop pesticides. In the 4-center study, residence locations determined by address-matching methods and by a global positioning system were compared; the population 1 mile from specific TRI sites is described.
CONCLUSIONS: These examples demonstrate the utility of a GIS in environmental epidemiology studies. A GIS can be a useful addition to questionnaire and other methods of exposure assessment in health studies.

Entities:  

Year:  2000        PMID: 11018420     DOI: 10.1016/s1047-2797(00)00152-6

Source DB:  PubMed          Journal:  Ann Epidemiol        ISSN: 1047-2797            Impact factor:   3.797


  3 in total

1.  Regional and temporal variation in methamphetamine-related incidents: applications of spatial and temporal scan statistics.

Authors:  Daniel Sudakin; Laura E Power
Journal:  Clin Toxicol (Phila)       Date:  2009-03       Impact factor: 4.467

2.  Regional variation in the severity of pesticide exposure outcomes: applications of geographic information systems and spatial scan statistics.

Authors:  Daniel L Sudakin; Laura E Power
Journal:  Clin Toxicol (Phila)       Date:  2009-03       Impact factor: 4.467

3.  Characterizing exposures to nonpersistent pesticides during pregnancy and early childhood in the National Children's Study: a review of monitoring and measurement methodologies.

Authors:  Asa Bradman; Robin M Whyatt
Journal:  Environ Health Perspect       Date:  2005-08       Impact factor: 9.031

  3 in total

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