Simulating Sleeping Sickness: a two-host agent-based model
Sleeping sickness is a vector-borne, parastic disease which affects millions of people across 36 sub-Saharan African countries. Using agent-based models, we aim to gain a greater understanding of the interactions between the tsetse fly vector and both animal and human hosts.
Building an accurate representation will allow the testing of local interventation scenarios including the closing of watering holes, and the selective spraying of cattle with insecticides.
Life sciences simulation: Epidemiology
Programming languages and libraries: Python
Computational platforms: Windows
Transdisciplinary tags: Complex Systems