Simulating Sleeping Sickness: a two-host agent-based model
- Started
- 1st October 2012
- Ended
- 30th September 2015
- Research Team
- Simon Alderton
- Investigators
- Jason Noble, Peter Atkinson
Zambian villagers being asked about their daily routines through participatory mapping as a source of information to feed the 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.
Categories
Life sciences simulation: Epidemiology
Socio-technological System simulation: Healthcare modelling, Human environment interaction, Social and Socio-economic Systems
Visualisation and data handling software: ArcGIS, ENVI, Pylab
Programming languages and libraries: Python
Computational platforms: Windows
Transdisciplinary tags: Complex Systems