Literature DB >> 16458786

Geocoding in cancer research: a review.

Gerard Rushton1, Marc P Armstrong, Josephine Gittler, Barry R Greene, Claire E Pavlik, Michele M West, Dale L Zimmerman.   

Abstract

There is now widespread agreement that geographic identifiers (geocodes) should be assigned to cancer records, but little agreement on their form and how they should be assigned, reported, and used. This paper reviews geocoding practice in relation to major purposes and discusses methods to improve the accuracy of geocoded cancer data. Differences in geocoding methods and materials introduce errors of commission and omission into geocoded data. A common source of error comes from the practice of using digital boundary files of dubious quality to place addresses into areas of interest. Geocoded data are linked to demographic, environmental, and health services data, and each data type has unique accuracy considerations. In health services applications, the accuracy of distances computed from geocodes can differ markedly. Privacy and confidentiality issues are important in the use and release of geocoded cancer data. When masking methods are used for disclosure limitation purposes, statistical methods must be adjusted for the locational uncertainty of geocoded data. We conclude that selection of one particular type of geographic area as the geocode may unnecessarily constrain future work. Therefore, the longitude and latitude of each case is the superior basic geocode; all other geocodes of interest can be constructed from this basic identifier.

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Year:  2006        PMID: 16458786     DOI: 10.1016/j.amepre.2005.09.011

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  50 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.  Using Monte Carlo/Gaussian Based Small Area Estimates to Predict Where Medicaid Patients Reside.

Authors:  Jess J Behrens; Xuejin Wen; Satyender Goel; Jing Zhou; Lina Fu; Abel N Kho
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

Review 3.  Informing geospatial toolset design: understanding the process of cancer data exploration and analysis.

Authors:  Tanuka Bhowmick; Amy L Griffin; Alan M MacEachren; Brenda C Kluhsman; Eugene J Lengerich
Journal:  Health Place       Date:  2007-10-23       Impact factor: 4.078

4.  Geospatial cryptography: enabling researchers to access private, spatially referenced, human subjects data for cancer control and prevention.

Authors:  Geoffrey M Jacquez; Aleksander Essex; Andrew Curtis; Betsy Kohler; Recinda Sherman; Khaled El Emam; Chen Shi; Andy Kaufmann; Linda Beale; Thomas Cusick; Daniel Goldberg; Pierre Goovaerts
Journal:  J Geogr Syst       Date:  2017-05-11

Review 5.  Geographic information systems and chronic kidney disease: racial disparities, rural residence and forecasting.

Authors:  Rudolph A Rodriguez; John R Hotchkiss; Ann M O'Hare
Journal:  J Nephrol       Date:  2013 Jan-Feb       Impact factor: 3.902

6.  Spatial cluster analysis of early stage breast cancer: a method for public health practice using cancer registry data.

Authors:  Jaymie R Meliker; Geoffrey M Jacquez; Pierre Goovaerts; Glenn Copeland; May Yassine
Journal:  Cancer Causes Control       Date:  2009-02-15       Impact factor: 2.506

7.  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

8.  Geocoding rural addresses in a community contaminated by PFOA: a comparison of methods.

Authors:  Verónica M Vieira; Gregory J Howard; Lisa G Gallagher; Tony Fletcher
Journal:  Environ Health       Date:  2010-04-21       Impact factor: 5.984

9.  Access to mammography screening in a large urban population: a multi-level analysis.

Authors:  Stephen C Meersman; Nancy Breen; Linda W Pickle; Helen I Meissner; Paul Simon
Journal:  Cancer Causes Control       Date:  2009-06-20       Impact factor: 2.506

10.  Evaluating geographic imputation approaches for zip code level data: an application to a study of pediatric diabetes.

Authors:  James D Hibbert; Angela D Liese; Andrew Lawson; Dwayne E Porter; Robin C Puett; Debra Standiford; Lenna Liu; Dana Dabelea
Journal:  Int J Health Geogr       Date:  2009-10-08       Impact factor: 3.918

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