Skip to main content

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