Table 2

Posterior estimates of regression coefficients and the variances related to random effects obtained by the different models

Coefficients
Non-Spatial Model
Spatial Model
Spatial Model + Non-structured random effects
Spatial-seasonal model

Age




     < = 1 year old
0.49 (0.22,0.73)
0.49 (0.22, 0.76)
0.49 (0.24, 0.77)
0.49 (0.24, 0.75)
     (1 and 5 years)
0.59 (0.35, 0.75)
0.59 (0.35, 0.85)
0.56 (0.35, 0.86)
0.60 (0.34, 0.86)
     Over 5 years
baseline
baseline
baseline
baseline

Season




     Wet
0.10 (-0.26, 0.45)
0.07 (-0.30, 0.42)
0.06 (-0.31, 0.42)
0.29 (-0.13, 0.73)
     Dry
baseline
baseline
baseline
baseline

Period




     First
-0.39 (-0.71, -0.07)
-0.37 (-0.69, -0.05)
-0.37 (-0.70, -0.04)
-0.35 (-0.66, -0.02)
     Second
-0.03 (-0.40, 0.33)
-0.04 (-0.42, 0.33)
-0.04 (-0.41, 0.32)
-0.03 (-0.42, 0.35)
     Third
baseline
baseline
baseline
baseline

Season × Period




     Wet & Second
0.49 (0.02, 0.98)
0.49 (0.03,0.96)
0.49 (0.03, 0.98)
0.462 (-0.02, 0.94)
     Wet & Second
0.76 (0.30, 1.25)
0.82 (0.33, 1.32)
0.82 (0.35, 1.30)
0.792 (0.32, 1.28)

Random effects





Spatial variation
-
1.29 (0.68, 0.93)
1.26 (0.97, 1.59)
1.67 (1.18, 2.28)1









1.22 (0.93, 1.57)2

Non-structured variation
-
-
0.18 (0.06,0.39)
-

DIC3
2333.65
2060.16
2061.59
2070.090

1spatial variance for the dry season, 2 spatial variance for the wet season, 3 DIC: Deviance Information Criterion. The smaller DIC value indicates a better fitting model. Credibility intervals at 95% in brackets

Abellana et al. Malaria Journal 2008 7:228   doi:10.1186/1475-2875-7-228

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