Ozonoff, A, Jeffery, C 
ORCID: 0000-0002-8023-0708, Manjourides, J, White, LF and Pagano, M
(2007)
Effect of spatial resolution on cluster detection: A simulation study
International Journal of Health Geographics, 6 (1).
52-.
ISSN 1476-072X, 1476-072X
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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. © 2007 Ozonoff et al; licensee BioMed Central Ltd.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Humans, Sentinel Surveillance, Space-Time Clustering, Predictive Value of Tests, Confidentiality, Computational Biology, Disease Outbreaks, Topography, Medical, Models, Biological, Computer Simulation |
| Divisions: | Faculty of Health & Life Sciences Faculty of Health & Life Sciences > Inst. Infection, Vet & Ecological Sciences |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 08 Sep 2023 09:34 |
| Last Modified: | 24 Jan 2026 04:00 |
| DOI: | 10.1186/1476-072X-6-52 |
| Related Websites: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3172633 |
| Disclaimer: | The University of Liverpool is not responsible for content contained on other websites from links within repository metadata. Please contact us if you notice anything that appears incorrect or inappropriate. |
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