Figure 4From: Geographical patterns and predictors of malaria risk in Zambia: Bayesian geostatistical modelling of the 2006 Zambia national malaria indicator survey (ZMIS)Predicted parasitaemia risk map for children <5 years in Zambia. The map is based on a Bayesian logistic regression model with linear terms for day LST, night LST, NDVI and rainfall. The estimates correspond to the median of the posterior predictive distributions computed over 100,000 pixels.Back to article page