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Table 2 Multivariate stationary and non-stationary spatial analyses results for P. falciparum infection prevalence for the Man region, western Côte d'Ivoire.

From: Spatially-explicit risk profiling of Plasmodium falciparum infections at a small scale: a geostatistical modelling approach

Indicator Bayesian logistic regression models
  Stationary Non-stationary
  ORa 95% BCIb ORa 95% BCIb
Age (years)     
   6–10 1   1  
   11–16 0.75 0.65, 0.87 0.75 0.65, 0.87
Socioeconomic status     
   Most poor 1   1  
   Very poor 0.90 0.71, 1.13 0.90 0.71, 1.13
   Poor 1.21 0.95, 1.51 1.21 0.95, 1.51
   Less poor 0.91 0.90, 1.15 0.90 0.71, 1.14
   Least poor 0.85 0.66, 1.08 0.84 0.65, 1.08
Sleeping under a bed net 0.92 0.72, 1.15 0.92 0.73, 1.15
Distance to health care facility 1.07 0.87, 1.29 1.04 0.82, 1.27
Annual mean NDVI 1.16 0.98, 1.38 1.17 0.98, 1.40
Mean RFE during transmission season 1.06 0.87, 1.27 1.06 0.87, 1.27
Distance to rivers     
   <500 m 1   1  
   500–999 m 1.32 0.87, 1.94 1.27 0.81, 1.89
   = 1000 m 0.75 0.48, 1.14 0.72 0.47, 1.09
ρ 1 c 0.0014 0.0003, 0.002 0.0015 0.0003, 0.002
ρ 2    0.0014 0.0004, 0.002
σ 1 2d 0.30 0.17, 0.49 0.23 0.10, 0.48
σ 2 2    0.40 0.18, 0.79
DIC e 4899.8   4900.1  
  1. aOR: odds ratio
  2. bBCI: Bayesian credible interval
  3. cρ: scalar parameter representing the rate of decline of correlation with distance between points
  4. dσ2: estimate of geographic variability
  5. eDIC: deviance information criterion; a composite measure of how well the model does, i.e. a compromise between fit and complexity, with smaller DICs indicating better performance of the model