Agent-based stochastic model for the transmission dynamics of Schistosoma mansoni in humans. The model incorporates specification of multiple assumptions for the mechanisms regulating transmission. An ODE-module is integrated into the agent-based framework to simulate explicit infection dynamics in the snail intermediate host.
The count data and model codes for analysis for the paper "Using zero-inflated and hurdle models to analyze schistosomiasis count data of school children in the southern areas of Ghana" are presented here. The codes are a combination of Python and R codes.
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