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Table 1 Parameter estimates based on logistic regression models for Plasmodium spp. prevalence in children aged <16 years in Côte d’Ivoire using compiled data from surveys carried out between 1988 and 2007

From: Mapping malaria risk among children in Côte d’Ivoire using Bayesian geo-statistical models

  Non-spatial model Non-spatial model with exchangeable random effects Stationary spatial model Non-stationary spatial model
Model parameter (Model 1) (Model 2) (Model 3) (Model 4)
ORa BCIb ORa BCIb ORa BCIb ORa BCIb
Elevation 1.44 1.40, 1.48 1.07 1.01, 1.13 1.05 0.99, 1.11 1.05 0.98, 1.11
Distance to rivers 1.08 1.06, 1.11 1.02 0.94, 1.10 0.98 0.91, 1.06 0.98 0.91, 1.05
Mean rainfall 0.91 0.88, 0.94 0.73 0.67, 0.79 0.77 0.70, 0.83 0.76 0.70, 0.83
Mean maximum LSTc 0.89 0.86, 0.92 0.67 0.60, 0.74 0.72 0.65, 0.80 0.72 0.64, 0.79
σ 2    1.59 1.20, 2.09 2.37 1.29, 4.74   
σ 2 1 (ecozone I)        1.56 0.78, 2.67
σ 2 2 (ecozone II)        4.76 2.05, 10.49
σ 2 3 (ecozone III)        0.10 0.006, 0.40
ρ      1.98 0.70, 3.82   
ρ 1 (ecozone I)        39.44 12.02, 59.35
ρ 2 (ecozone II)        1.55 0.52, 3.23
ρ 3 (ecozone III)        27.61 2.30, 57.62
DIC d 9,974   1,501   1,485   1,479  
  1. aOR Odds ratio; bBCI Bayesian credible interval; cLST Land surface temperature; dDIC Deviance information criterion.