Hostname: page-component-586b7cd67f-rcrh6 Total loading time: 0 Render date: 2024-11-23T05:25:41.073Z Has data issue: false hasContentIssue false

A statistically derived index for classifying East Coast fever reactions in cattle challenged with Theileria parva under experimental conditions

Published online by Cambridge University Press:  01 April 2000

G. J. ROWLANDS
Affiliation:
International Livestock Research Institute, P.O. Box 30709, Nairobi, Kenya
A. J. MUSOKE
Affiliation:
International Livestock Research Institute, P.O. Box 30709, Nairobi, Kenya
S. P. MORZARIA
Affiliation:
International Livestock Research Institute, P.O. Box 30709, Nairobi, Kenya
S. M. NAGDA
Affiliation:
International Livestock Research Institute, P.O. Box 30709, Nairobi, Kenya
K. T. BALLINGALL
Affiliation:
International Livestock Research Institute, P.O. Box 30709, Nairobi, Kenya
D. J. McKEEVER
Affiliation:
International Livestock Research Institute, P.O. Box 30709, Nairobi, Kenya

Abstract

A statistically derived disease reaction index based on parasitological, clinical and haematological measurements observed in 309 5 to 8-month-old Boran cattle following laboratory challenge with Theileria parva is described. Principal component analysis was applied to 13 measures including first appearance of schizonts, first appearance of piroplasms and first occurrence of pyrexia, together with the duration and severity of these symptoms, and white blood cell count. The first principal component, which was based on approximately equal contributions of the 13 variables, provided the definition for the disease reaction index, defined on a scale of 0–10. As well as providing a more objective measure of the severity of the reaction, the continuous nature of the index score enables more powerful statistical analysis of the data compared with that which has been previously possible through clinically derived categories of non-, mild, moderate and severe reactions.

Type
Research Article
Copyright
2000 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)