Application of principal component analysis for classifying East Coast fever reactions in cattle challenged with Theileria parva

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dc.creatorRowlands, G.J.
dc.creatorMusoke, A.J.
dc.creatorNene, Vishvanath M.
dc.creatorBishop, Richard P.
dc.creatorNagda, S.M.
dc.creatorMorzaria, S.P.
dc.date2001
dc.date2014-10-31T06:08:54Z
dc.date2014-10-31T06:08:54Z
dc.date.accessioned2026-06-27T17:04:08Z
dc.descriptionA statistically derived disease reaction index, based on daily parasitological, clinical and haematological measurements observed in 440 5-9 month old Boran cattle following laboratory challenge with Theileria parva in clinical trials of a sub-unit vaccine against East Coast fever, is described. Principal component analysis was applied to 13 variables including first appearance of schizonts, first appearance of piroplasms and first occurrence of pyrexia, together with duration and severity of these symptoms, and white blood cell count. The first principal component, which accounted for over 80% of the total variation expressed by the 13 variables, provided the definition for the disease reaction index, defined on a scale of 0-10. The extension of the method to 133 cattle exposed to natural tick challenge, for which incubation periods are unknown and white blood cell count is impracticable to measure, is also described. A correlation of 0.98 was found between the laboratory and field reaction indices.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/50185
dc.identifier.urihttp://hdl.handle.net/123456789/141283
dc.languageen
dc.publisherSociety of Veterinary Epidemiology and Preventive Medicine
dc.rightsOpen Access
dc.subjectcattle
dc.subjectanimal diseases
dc.subjectdisease control
dc.titleApplication of principal component analysis for classifying East Coast fever reactions in cattle challenged with Theileria parva
dc.typeConference Paper

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