Linked Life Data

11571612

Source:http://linkedlifedata.com/resource/pubmed/id/11571612

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2001-9-25
pubmed:abstractText
The assignment of locational attributes to a study subject in epidemiologic analyses is commonly referred to as georeferencing. When georeferencing study subjects to a point location using their residential street address, most researchers rely on the street centerline data model. This study assessed the potential locational bias introduced using street centerline data. It also evaluated georeferencing effects on a location-dependent, exposure assessment process. For comparison purposes, subjects were georeferenced to the center of their residential parcel of land using digitized parcel maps. A total of 10,026 study subjects residing in Jefferson County, Alabama were georeferenced using both street centerline and residential parcel methods. The mean nondirectional, linear distance between points georeferenced using both methods was 246 ft with a range of 11 to 13,260 ft. Correlation coefficients comparing differences in exposure estimates were generated for all 10,026 subjects. Coefficients increased as the geographic areas of analysis around study subjects increased, indicating the influence of nondifferential exposure misclassification.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1053-4245
pubmed:author
pubmed:issnType
Print
pubmed:volume
11
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
329-34
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:articleTitle
Locational uncertainty in georeferencing public health datasets.
pubmed:affiliation
The Agency for Toxic Substances and Disease Registry, 1600 Clifton Road, NE, Mailstop E32, Atlanta, Georgia 30333, USA. sdearwent@cdc.gov
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.