Literature DB >> 16162420

The accuracy of address coding and the effects of coding errors.

Nataliya Kravets1, Wilbur C Hadden.   

Abstract

Studies that estimate the influence of characteristics of place on health often use geocoded addresses to identify location of study subjects. This study uses housing built before 1990 selected for the 1995-2001 National Health Interview Survey (N=252,421) to develop a standard against which geocodes obtained from an address-coding program are compared. The results show that geocoding is generally accurate and is more successful in urban areas. Blockgroups with missing codes are more rural and somewhat poorer than blockgroups with correct codes. The effect of incorrect codes on statistical analyses depends on the proportion rural in a study population.

Mesh：

Year:  2005        PMID： 16162420     DOI： 10.1016/j.healthplace.2005.08.006

Source DB:  PubMed          Journal:  Health Place        ISSN： 1353-8292            Impact factor:   4.078


  32 in total

1.  Error propagation models to examine the effects of geocoding quality on spatial analysis of individual-level datasets.

Authors:  P A Zandbergen; T C Hart; K E Lenzer; M E Camponovo
Journal:  Spat Spatiotemporal Epidemiol       Date:  2012-02-11

2.  Comparing Perception-Based and Geographic Information System (GIS)-based characterizations of the local food environment.

Authors:  Latetia V Moore; Ana V Diez Roux; Shannon Brines
Journal:  J Urban Health       Date:  2008-02-05       Impact factor: 3.671

3.  Incorporating a location-based socioeconomic index into a de-identified i2b2 clinical data warehouse.

Authors:  Bret J Gardner; Jay G Pedersen; Mary E Campbell; James C McClay
Journal:  J Am Med Inform Assoc       Date:  2019-04-01       Impact factor: 4.497

4.  Improving Surveillance of Sexually Transmitted Diseases through Geocoded Morbidity Assignment.

Authors:  Jeffrey A Stover; Khalid A Kheirallah; Philip Christopher Delcher; Carrie B Dolan; LaShonda Johnson
Journal:  Public Health Rep       Date:  2009       Impact factor: 2.792

5.  Spatial autocorrelation among automated geocoding errors and its effects on testing for disease clustering.

Authors:  Dale L Zimmerman; Jie Li; Xiangming Fang
Journal:  Stat Med       Date:  2010-01-19       Impact factor: 2.373

6.  Using imputation to provide location information for nongeocoded addresses.

Authors:  Frank C Curriero; Martin Kulldorff; Francis P Boscoe; Ann C Klassen
Journal:  PLoS One       Date:  2010-02-10       Impact factor: 3.240

7.  The effects of local street network characteristics on the positional accuracy of automated geocoding for geographic health studies.

Authors:  Dale L Zimmerman; Jie Li
Journal:  Int J Health Geogr       Date:  2010-02-16       Impact factor: 3.918

8.  Identifying risk factors for healthcare-associated infections from electronic medical record home address data.

Authors:  Jeffrey S Wilson; David C Shepherd; Marc B Rosenman; Abel N Kho
Journal:  Int J Health Geogr       Date:  2010-09-17       Impact factor: 3.918

9.  Local indicators of geocoding accuracy (LIGA): theory and application.

Authors:  Geoffrey M Jacquez; Robert Rommel
Journal:  Int J Health Geogr       Date:  2009-10-28       Impact factor: 3.918

10.  Influence of Demographic and Health Survey Point Displacements on Distance-Based Analyses.

Authors:  Joshua L Warren; Carolina Perez-Heydrich; Clara R Burgert; Michael E Emch
Journal:  Spat Demogr       Date:  2015-06-23
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.