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We have carried out a study of risk factors for early detection of Trypanosoma brucei rhodesiense sleeping sickness. Records of sleeping sickness patients from 1987 to 2001 from Tororo and Busia districts in Uganda were reviewed for their village of origin and clinical stage (early or late). All...


Odiit, M.Coleman, P.G.McDermott, John J.Fèvre, Eric M.Welburn, S.C.Woolhouse, Mark E.J.[Spatial and temporal risk factors for the early detection of Trypanosoma brucei rhodesiense sleeping sickness patients in Tororo and Busia districts, Uganda]Spatial and temporal risk factors for the early detection of Trypanosoma brucei rhodesiense sleeping sickness patients in Tororo and Busia districts, Uganda

Background: The expansion of sleeping sickness caused by Trypanosoma brucei rhodesiense (T. rhodesiense) beyond its traditional focus in southeast Uganda, has been linked with large-scale livestock restocking. To assess the risk presented to the human population by domestic livestock, human-infe...


Welburn, S.C.Picozzi, K.Fèvre, Eric M.Coleman, P.G.Odiit, M.Carrington, M.Maudlin, I.[Identification of human-infective trypanosomes in animal reservoir of sleeping sickness in Uganda by means of serum-resistance-associated (SRA) gene]Identification of human-infective trypanosomes in animal reservoir of sleeping sickness in Uganda by means of serum-resistance-associated (SRA) gene

Tsetse-transmitted trypanosomosis is regarded as the most debilitating livestock disease in sub-Saharan Africa, responsible for annual economic losses of over US$1.3 billion. To date, however, all economic impact assessments of trypanosomosis have excluded the public health burden of the disease....


Odiit, M.Coleman, P.G.Fèvre, Eric M.Magona, J.McDermott, John J.[Incorporating the burden of human sleeping sickness in an economic impact assessment of trypanosomiasis]Incorporating the burden of human sleeping sickness in an economic impact assessment of trypanosomiasis

To formally quantify the level of under-detection of Trypanosoma brucei rhodesiense sleeping sickness (SS) during an epidemic in Uganda, a decision tree (under-detection) model was developed; concurrently, to quantify the subset of undetected cases that sought health care but were not diagnosed, ...


Odiit, M.Coleman, P.G.Liu, W.C.McDermott, John J.Fèvre, Eric M.Welburn, S.C.Woolhouse, Mark E.J.[Quantifying the level of under-detection of Trypanosoma brucei rhodesiense sleeping sickness cases]Quantifying the level of under-detection of Trypanosoma brucei rhodesiense sleeping sickness cases

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