[en] Trypanosomosis is one of the main constraints to livestock production, particularly in the sub-humid and the semi-arid zones in Africa. To study the impact of the disease and the people economically affected by the disease GIS has proven to be a valuable decision tool to prioritise intervention areas and to select control or eradication methods. In this study a GIS and remote sensing based model have been used in the Didessa Valley and southwestern Ethiopia to study valley specific relationships of all factors (host, vector, disease, human population/activity) with geography, environment and farming systems to answer the following questions: Where does trypanosomosis have a negative effect on (agricultural) development? In which areas will control measures have the highest impact/economical benefit? These findings have been extrapolated to set priority areas for tsetse control for Ethiopia as a whole, using a multi-criterion evaluation technique and a Boolean disease data-set to create signatures (training sets) to predict the probability of agricultural suitability and disease suitability based on a set of environmental predictors. Data sets have been validated through ground-truthing using a random data-set for the specified window of Southwestern Ethiopia. A logical expression has been used to combine the factors (vector distribution, agricultural suitability, climatically disease suitability, control area suitability) to select the priority areas for tsetse control. Areas permanently infested by malaria, one of the life-threatening human diseases in Africa, have been considered as not suitable for intervention, The result, a Boolean representation of the priority areas for southwestern Ethiopia can be prioritised further by the decision maker (government, donor, specialist) using criteria such as cost/benefit, administrative organisation and control method. The unique altitude related dynamic tsetse situation in Ethiopia, makes wider extrapolation using the same developed training-set, unpredictable. The dynamics of tsetse should be studied in more detail to prevent re-invasion of the control areas. (author)