Methodology
Adaptations for finding irregularly shaped disease clusters
-
* Corresponding author: Nikolaos Yiannakoulias niwiyi@gmail.com
1 School of Geography and Earth Sciences, McMaster University, Hamilton, Canada
2 Department of Pediatrics, University of Alberta, Edmonton, Canada
3 Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, Canada
International Journal of Health Geographics 2007, 6:28 doi:10.1186/1476-072X-6-28
Published: 5 July 2007Additional files
Additional file 1:
Simulation results where cluster area rate is 5 per 1000 and baseline rate is 2.5 per 1000. The data in this table summarize the difference in sensitivity and positive predicted value for the different cluster scenarios with different settings for the non-connectivity penalty and the depth limit.
Format: XLS Size: 23KB Download file
This file can be viewed with: Microsoft Excel Viewer
Additional file 2:
Simulation results where cluster area rate is 7.5 per 1000 and baseline rate is 2.5 per 1000. The data in this table summarize the difference in sensitivity and positive predicted value for the different cluster scenarios with different settings for the non-connectivity penalty and the depth limit.
Format: XLS Size: 22KB Download file
This file can be viewed with: Microsoft Excel Viewer