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The current control strategies for tsetse-transmitted trypanosomosis in cattle (trypanocidal drugs tsetse control and trypanotolerant cattle) are briefly reviewed and their adoption rates in different geographic regions of sub-Saharan Africa are presented. The impact of these control strategies a...


McDermott, John J.Coleman, P.G.[Comparing apples and oranges - model-based assessment of different tsetse-transmitted trypanosomosis control strategies]Comparing apples and oranges - model-based assessment of different tsetse-transmitted trypanosomosis control strategies

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
Fèvre, Eric M.Odiit, M.Coleman, P.G.Woolhouse, Mark E.J.Welburn, S.C.[Estimating the burden of rhodesiense sleeping sickness during an outbreak in Serere, eastern Uganda]Estimating the burden of rhodesiense sleeping sickness during an outbreak in Serere, eastern Uganda
Fèvre, Eric M.Coleman, P.G.Welburn, S.C.Maudlin, I.[Reanalyzing the 1900-1920 sleeping sickness epidemic in Uganda]Reanalyzing the 1900-1920 sleeping sickness epidemic in Uganda

For those with sleeping sickness, the consequences of delayed diagnosis include poor prognosis at treatment and an increased risk of tsetse infection. Data on their socio–demographic and clinical characteristics, health-seeking behaviour and delays in presentation and diagnosis were collected fro...


Odiit, M.Shaw, AlisonWelburn, S.C.Fèvre, Eric M.Coleman, P.G.McDermott, John J.[Assessing the patterns of health-seeking behaviour and awareness among sleeping-sickness patients in eastern Uganda]Assessing the patterns of health-seeking behaviour and awareness among sleeping-sickness patients in eastern Uganda
Welburn, S.C.Fèvre, Eric M.Coleman, P.G.Odiit, M.Maudlin, I.[Sleeping sickness: A tale of two diseases]Sleeping sickness: A tale of two diseases
Zoller, T.Fèvre, Eric M.Welburn, S.C.Odiit, M.Coleman, P.G.[Analysis of risk factors for T. brucei rhodesiense sleeping sickness within villages in south-east Uganda]Analysis of risk factors for T. brucei rhodesiense sleeping sickness within villages in south-east Uganda
Fèvre, Eric M.Picozzi, K.Fyfe, J.Waiswa, C.Odiit, M.Coleman, P.G.[A burgeoning epidemic of sleeping sickness in Uganda]A burgeoning epidemic of sleeping sickness in 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

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

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