An agent-based model to simulate tsetse fly distribution and control techniques: A case study in Nguruman, Kenya

This is a bottom-up process-based model with freely available data as inputs that can be easily transferred to a new area. The tsetse population simulation more closely approximates real conditions than those using traditional statistical models making it a useful tool in tsetse fly control planning.