Skip to main content

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.