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Geographic information systems (GIS) and remote sensing were used to identify villages at high risk for sleeping sickness, as defined by reported incidence. Landsat Enhanced Thematic Mapper (ETM) satellite data were classified to obtain a map of land cover, and the Normalised Difference Vegetatio...


Odiit, M.Bessell, P.R.Fèvre, Eric M.Robinson, Timothy P.Kinoti, J.Coleman, P.G.Welburn, S.C.McDermott, John J.Woolhouse, Mark E.J.[Using remote sensing and geographic information systems to identify villages at high risk for rhodesiense sleeping sickness in Uganda]Using remote sensing and geographic information systems to identify villages at high risk for rhodesiense sleeping sickness in Uganda

Classifying, describing and understanding the natural environment is an important element of studies of human, animal and ecosystem health, and baseline ecological data are commonly lacking in remote environments of the world. Human African trypanosomiasis is an important constraint on human well...


Anderson, N.E.Bessell, P.R.Mubanga, J.Thomas, R.Eisler, M.C.Fèvre, Eric M.Welburn, S.C.[Ecological monitoring and health research in Luambe National Park, Zambia: Generation of baseline data layers]Ecological monitoring and health research in Luambe National Park, Zambia: Generation of baseline data layers
Odiit, M.Bessell, P.R.Fèvre, Eric M.Robinson, Timothy P.Kinoti, J.Coleman, P.G.[Crisis, what crisis? Control of Rhodesian sleeping sickness]Crisis, what crisis? Control of Rhodesian sleeping sickness

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