Table 1. Posterior model probabilities obtained using Gibbs Variable Selection (First stage).

Model	Environmental Variables	Binomial	ZIB
1.	Night LST, NDVI	2.46%	2.52%
2.	Night LST, NDVI, Area type	72.21%	74.28%
3.	Night LST, Rainfall, NDVI, Area type	12.13%	13.23%
4.	Others	13.2%	9.97%

In the model with the highest posterior probability (72.21% with Binomial model and 74.28% with ZIB), Night LST, NDVI and Area type were included as covariates. This model was selected and used to predict the malaria risk.