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Table 2 Posterior estimates of regression coefficients and the variances related to random effects obtained by the different models

From: Spatio-seasonal modeling of the incidence rate of malaria in Mozambique

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
  1. 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