Author:
Ozonoff Al,Jeffery Caroline,Manjourides Justin,White Laura Forsberg,Pagano Marcello
Abstract
Abstract
Background
Aggregation of spatial data is intended to protect privacy, but some effects of aggregation on spatial methods have not yet been quantified.
Methods
We generated 3,000 spatial data sets and evaluated power of detection at 12 different levels of aggregation using the spatial scan statistic implemented in SaTScan v6.0.
Results
Power to detect clusters decreased from nearly 100% when using exact locations to roughly 40% at the coarsest level of spatial resolution.
Conclusion
Aggregation has the potential for obfuscation.
Publisher
Springer Science and Business Media LLC
Subject
Public Health, Environmental and Occupational Health,General Business, Management and Accounting,General Computer Science
Reference16 articles.
1. Teutsch SM, Churchill RE: Principles and Practice of Public Health Surveillance. 2000, Oxford Univ Press
2. Brookmeyer R, Stroup D, Eds: Monitoring the Health of Populations: Statistical principles and methods for public health surveillance. 2004, Oxford Univ Press
3. Grubesic TH, Matisziw TC: On the use of ZIP codes and ZIP code tabulation areas (ZCTAs) for the spatial analysis of epidemiological data. Int J Health Geogr. 2006, 5 (58):
4. Cox L: Protecting confidentiality in small population health and environmental statistics. Statistics in Medicine. 1996, 15: 1895-1905. 10.1002/(SICI)1097-0258(19960915)15:17<1895::AID-SIM401>3.0.CO;2-W.
5. Armstrong M, Rushton G, Zimmerman D: Geographically masking health data to preserve confidentiality. Statistics in Medicine. 1999, 18: 497-525. 10.1002/(SICI)1097-0258(19990315)18:5<497::AID-SIM45>3.0.CO;2-#.
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