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Table 2 High risk of malaria spatial clusters in Bancoumana, Mali, march 2000.

From: Oblique decision trees for spatial pattern detection: optimal algorithm and application to malaria risk

  Cluster      
  Coordinatesa Radius Km Popb Risk of infection [CI95%] Cases Obs/exp Locc p d
S1 X = -8.27047 Y = 12.205325 0.27 214 54.21% [47.51–60.75] Obs:116 Exp:69.43 22 0.001
S2 X = -8.26701 Y = 12.205729 0.00 7 85.71% [48.69–97.43] Obs:6 Exp:2.27 1 0.998
S3 X = -8.26469 Y = 12.207877 0.00 20 60.00% [38.66–78.12] Obs:12 Exp:6.49 1 0.999
  1. a- The coordinates are for the center of each circle.
  2. b- Pop. refers to the total number of children into each cluster.
  3. c- Loc. refers to the number of locations belonging to each cluster.
  4. d- p-values refer to the Monte Carlo inference, after 999 replicates.