%0 Journal Article %1 Ozonoff2007 %A Ozonoff, Al %A Jeffery, Caroline %A Manjourides, Justin %A White, Laura Forsberg %A Pagano, Marcello %D 2007 %J International Journal of Health Geographics %K methods Space-TimeClustering methods/statistics/&/numericaldata ComputerSimulation statistics/&/numericaldata DiseaseOutbreaks Humans Confidentiality Models ComputationalBiology Medical Biological SentinelSurveillance PredictiveValueofTests Topography %P 52 %R 10.1186/1476-072X-6-52 %T Effect of spatial resolution on cluster detection: a simulation study. %U http://dx.doi.org/10.1186/1476-072X-6-52 %V 6 %X 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.

@article{Ozonoff2007, 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.}, added-at = {2010-01-14T17:48:01.000+0100}, author = {Ozonoff, Al and Jeffery, Caroline and Manjourides, Justin and White, Laura Forsberg and Pagano, Marcello}, biburl = {https://www.bibsonomy.org/bibtex/29e12ce0d0dd92c2df26bee6facdb6e1f/uvesco}, doi = {10.1186/1476-072X-6-52}, file = {:Ozonoff2007.pdf:PDF}, institution = {Department of Biostatistics, Harvard School of Public Health, 655 Huntington Avenue, Boston, MA 02115, USA. aozonoff@bu.edu}, interhash = {2c775da6161c6fa1ded2cbd42707cc8f}, intrahash = {9e12ce0d0dd92c2df26bee6facdb6e1f}, journal = {International Journal of Health Geographics}, keywords = {methods Space-TimeClustering methods/statistics/&/numericaldata ComputerSimulation statistics/&/numericaldata DiseaseOutbreaks Humans Confidentiality Models ComputationalBiology Medical Biological SentinelSurveillance PredictiveValueofTests Topography}, language = {eng}, medline-pst = {epublish}, pages = 52, pii = {1476-072X-6-52}, pmid = {18042281}, timestamp = {2010-01-14T17:48:01.000+0100}, title = {Effect of spatial resolution on cluster detection: a simulation study.}, url = {http://dx.doi.org/10.1186/1476-072X-6-52}, volume = 6, year = 2007 }