Using zero-inflated and hurdle regression models to analyze schistosomiasis data of school children in the southern areas of Ghana.

The zero-inflated negative binomial and hurdle negative binomial models were found to be the most satisfactory fit for modelling the over-dispersed zero inflated count data and are recommended for use in future statistical modelling analyses.