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Table 3 Results of variable selection for the climatic predictors and ITN coverage measures based on Bayesian geostatistical logistic regression models

From: Assessing the effects of malaria interventions on the geographical distribution of parasitaemia risk in Burkina Faso

Posterior inclusion probability (%)
Variable Model 1 Model 2
Altitude 28  
Distance to water body 2  
NDVI 3.30  
LSTD 6.20  
LSTN 74.10  
Rainfall 1.60  
Distance to rice growing area 0.30  
Altitudea 5.70  
Distance to water bodya 4  
Area type (urban/rural)a 87.20  
NDVIa 0.20  
LSTDa 4.50  
LSTNa 3.50  
Rainfalla 1  
Distance to rice growing areaa 74.50  
ITN coverage
 ITN per person (ITNpPR) 0.20
 U5 sleep under net (ITNsU5) 32.02
 ITN per under 5 years (ITNpU5) 2.46
  1. Posterior inclusion probabilities larger than 50 % indicate an important predictor
  2. aCategorical form