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Table 3 Parameter estimates of two Bayesian geostatistical models with environmental and socioeconomic predictors

From: Spatial mapping and prediction of Plasmodium falciparum infection risk among school-aged children in Côte d’Ivoire

Parameter Model 1 Model 2
  OR 95 % BCI OR 95 % BCI
Land cover
 Urban 1.00    
 Croplands 1.95 (1.23; 3.03)a   
 Forest/savannah 2.30 (1.43; 3.81)a   
Socioeconomic status
 Poorest    1.00  
 Poor    0.77 (0.61; 0.96)a
 Middle    0.66 (0.53; 0.84)a
 Wealthier    0.48 (0.39; 0.59)a
 Wealthiest    0.44 (0.35; 0.56)a
  Median 95 % BCI Median 95 % BCI
Spatial variance σ2 0.46 (0.29; 0,80)a 0.41 (0.24; 0,75)a
Range (km) 285 (139; 471) 259 (123; 457)
  Predictive ability    
MAE 0.11    
Sum of SD 1.81    
  1. aImportant covariate based on 95 % BCI
  2. Model 1: Bayesian geostatistical model with environmental predictor
  3. Model 2: Bayesian geostatistical model with socioeconomic predictor
  4. Abbreviations: OR odds ratio, 95 % BCI lower and upper bound of a 95 % Bayesian credible interval, MAE mean absolute error, Sum of SD sum of standard deviation