Comparison of 5 different non-spatial and spatial models for <i>S. japonicum</i> infections based on Kato-Katz examination showing the importance of including spatial correlation in the analyses as well as the inclusion of the different demographic, reservoir and environmental covariates.

aOR: odds ratio. bBCI: Bayesian credible interval. au is scalar parameter representing the rate of decline of correlation with distance between points. bσ2 is the estimate of the geographic variability. cDIC is the measure for the model fit. A smaller DIC indicates a better performance of the model.