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Spatial trypanosomiasis management: from data layers to decision making
| Acronym: | TrypGIS |
| Project type: | Review paper |
| Time frame: | 2000 |
| Funding agency: | ITM |
| Geographic keyword: Africa | |
| General keyword: Decision support | GIS | |
| Specific keyword: African animal trypanosomiasis | Tsetse |
Review Paper on Spatial Trypanosomosis Management: From Data-layers to Decision Making.
Adapted from: Hendrickx, G., de La Rocque, S., Reid, R. and Wint, W. (2001) Spatial trypanosomosis management: From Data-layers to Decision Making. Trends in Parasitology (formerly Parasitology Today), 17, 35-42.
Historically, African Animal Trypanosomosis (AAT) has profoundly affected settlement and economic development in much of the African continent, and remains a major constraint to increased livestock production1. Moreover, tsetse infestations, by transmitting AAT, prevent the successful integration of crop and ruminant production. Apart from the impact of the disease itself, it is argued that the mere presence of tsetse alters the distribution of susceptible livestock over vast areas and thus influences the type and number of animals kept, as well as the use of oxen for draught power, manure as crop fertilizer, and crop-residues and by-products as cattle feed.
Geographical Information Systems (GIS) are problem-solving tools that allow users to process and analyse spatial data layers in a multidisciplinary context. A GIS should thus be ideal for display, analysis and interpretation of the various factors affecting the epidemiology of AAT and its impact on people and their agriculture including: the spatial patterns in tsetse challenge, trypanosomosis risk, clinical disease, livestock biomass, breed distribution, farming systems and land use. GIS related research activities discussed in this paper could be divided in two groups: firstly, the development of improved methods to build reliable individual data layers and secondly the multi-layer spatial analysis needed for improved decision making.
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