A Bayesian Belief Networks model is developed from household factors to predict malaria parasitaemia risk among children.
Datasets of Malaria Indicator Survey, Demographic Health Survey and AIDS indicator survey are used to compile the model.
Malaria parasitaemia risk increases in households using borehole water, dug wells and surface water points.
A BBN model can be used in determining key interventions for malaria control.