_____________________________ SaTScan v9.6 _____________________________ Program run on: Sat Mar 9 07:18:42 2019 Purely Spatial analysis scanning for clusters with high rates using the Discrete Poisson model. _______________________________________________________________________________________________ SUMMARY OF DATA Study period.......................: 2000/1/1 to 2000/12/31 Number of locations................: 281 Population, averaged over time.....: 1057673 Total number of cases..............: 552 Annual cases / 100000..............: 52.1 _______________________________________________________________________________________________ CLUSTERS DETECTED 1.Location IDs included.: 49, 48, 50, 47, 1, 15, 51, 2, 13, 14, 3, 35, 16, 52, 36, 37, 12, 11, 5, 17, 10, 4, 6, 38, 18, 9 Coordinates / radius..: (42.1102,-75.9574) / 0.070 Population............: 95249 Number of cases.......: 85 Expected cases........: 49.71 Annual cases / 100000.: 89.1 Observed / expected...: 1.71 Relative risk.........: 1.84 Log likelihood ratio..: 11.577255 P-value...............: 0.0010 2.Location IDs included.: 89, 88, 87, 84, 90, 86, 92, 85 Coordinates / radius..: (42.628,-76.1041) / 0.13 Population............: 34083 Number of cases.......: 38 Expected cases........: 17.79 Annual cases / 100000.: 111.3 Observed / expected...: 2.14 Relative risk.........: 2.22 Log likelihood ratio..: 9.019716 P-value...............: 0.013 3.Location IDs included.: 112, 113, 115, 111, 116, 219, 117, 123, 218, 114, 122, 110, 124, 220, 118, 133, 121, 125, 216, 120, 134, 217, 126, 139, 215, 132, 141, 140, 127, 142, 138, 131, 119 Coordinates / radius..: (43.0814,-76.1481) / 0.040 Population............: 78280 Number of cases.......: 64 Expected cases........: 40.85 Annual cases / 100000.: 81.6 Observed / expected...: 1.57 Relative risk.........: 1.64 Log likelihood ratio..: 6.114140 P-value...............: 0.216 4.Location IDs included.: 62, 64, 67, 65 Coordinates / radius..: (42.9637,-76.528) / 0.061 Population............: 24571 Number of cases.......: 25 Expected cases........: 12.82 Annual cases / 100000.: 101.5 Observed / expected...: 1.95 Relative risk.........: 1.99 Log likelihood ratio..: 4.651839 P-value...............: 0.609 5.Location IDs included.: 46, 45, 41, 54, 44, 43, 53 Coordinates / radius..: (42.0883,-76.0764) / 0.043 Population............: 29782 Number of cases.......: 28 Expected cases........: 15.54 Annual cases / 100000.: 93.8 Observed / expected...: 1.80 Relative risk.........: 1.84 Log likelihood ratio..: 4.169203 P-value...............: 0.755 6.Location IDs included.: 266, 281, 267, 265 Coordinates / radius..: (42.4722,-76.4635) / 0.026 Population............: 9840 Number of cases.......: 12 Expected cases........: 5.14 Annual cases / 100000.: 121.7 Observed / expected...: 2.34 Relative risk.........: 2.37 Log likelihood ratio..: 3.363518 P-value...............: 0.961 7.Location IDs included.: 166, 159, 167 Coordinates / radius..: (43.0152,-76.1629) / 0.012 Population............: 8839 Number of cases.......: 11 Expected cases........: 4.61 Annual cases / 100000.: 124.2 Observed / expected...: 2.38 Relative risk.........: 2.41 Log likelihood ratio..: 3.209485 P-value...............: 0.976 _______________________________________________________________________________________________ PARAMETER SETTINGS Input ----- Case File : /Users/jfrench/Dropbox/Code/GitHub/smerc/tests/satscan_ny_cases.txt Population File : /Users/jfrench/Dropbox/Code/GitHub/smerc/tests/satscan_ny_pop.txt Time Precision : Year Start Time : 2000/1/1 End Time : 2000/12/31 Coordinates File : /Users/jfrench/Dropbox/Code/GitHub/smerc/tests/flexscan_ny_coords.txt Coordinates : Cartesian Analysis -------- Type of Analysis : Purely Spatial Probability Model : Discrete Poisson Scan for Areas with : High Rates Output ------ Main Results File : /Users/jfrench/Dropbox/Code/GitHub/smerc/tests/satscan_ny_out.txt Data Checking ------------- Temporal Data Check : Check to ensure that all cases and controls are within the specified temporal study period. Geographical Data Check : Check to ensure that all observations (cases, controls and populations) are within the specified geographical area. Spatial Neighbors ----------------- Use Non-Euclidian Neighbors file : No Use Meta Locations File : No Multiple Coordinates Type : Allow only one set of coordinates per location ID. Spatial Window -------------- Maximum Spatial Cluster Size : 10 percent of population at risk Window Shape : Circular Isotonic Scan : No Cluster Restrictions -------------------- Minimum Cases in Cluster for High Rates : 2 Restrict High Rate Clusters : No Space And Time Adjustments -------------------------- Adjust for known relative risks : No Inference --------- P-Value Reporting : Default Combination Number of Replications : 999 Adjusting for More Likely Clusters : No Border Analysis --------------- Report Oliveira's F : No Spatial Output -------------- Report Hierarchical Clusters : Yes Criteria for Reporting Secondary Clusters : No Geographical Overlap Report Gini Optimized Cluster Collection : No Restrict Reporting to Smaller Clusters : No Other Output ------------ Report Critical Values : No Report Monte Carlo Rank : No Run Options ----------- Processor Usage : All Available Processors Suppress Warnings : No Logging Analysis : No _______________________________________________________________________________________________ Program completed : Sat Mar 9 07:18:43 2019 Total Running Time : 1 second Processor Usage : 8 processors