Theileria parva infection seroprevalence and associated risk factors in cattle in Machakos County, Kenya

The principle objective of this study was to estimate the infection seroprevalence and identify risk factors associated with Theileria parva infection in cattle on smallholder farms in Machakos County, Kenya. A total of 127 farms were selected by a proportional allocation approach based on the numbe...

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Autores principales: Wesonga, F.D., Gachohi, John M., Kitala, P.M., Gathuma, J.M., Njenga, M.J.
Formato: Journal Article
Lenguaje:Inglés
Publicado: Springer 2015
Materias:
Acceso en línea:https://hdl.handle.net/10568/51340
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author Wesonga, F.D.
Gachohi, John M.
Kitala, P.M.
Gathuma, J.M.
Njenga, M.J.
author_browse Gachohi, John M.
Gathuma, J.M.
Kitala, P.M.
Njenga, M.J.
Wesonga, F.D.
author_facet Wesonga, F.D.
Gachohi, John M.
Kitala, P.M.
Gathuma, J.M.
Njenga, M.J.
author_sort Wesonga, F.D.
collection Repository of Agricultural Research Outputs (CGSpace)
description The principle objective of this study was to estimate the infection seroprevalence and identify risk factors associated with Theileria parva infection in cattle on smallholder farms in Machakos County, Kenya. A total of 127 farms were selected by a proportional allocation approach based on the number of farms in four divisions in the county previously selected by stratified random sampling method. Subsequently, a total sample of 421 individual animals was randomly selected from the farms. Information on animal and relevant individual farm management practices was gathered using a standardized questionnaire. Prevalence of serum antibodies was determined using the enzyme-linked immunosorbent assay (ELISA). Multivariable logistic models incorporating random effects at the farm level evaluated the association between the presence of T. parva antibodies and the identified risk variables. The overall estimation of T. parva antibodies in the county was 40.9 % (95 % confidence interval of 36.1, 45.7 %). Seroprevalence to T. parva was significantly associated with animal age, vector tick infestation in the animal, tick control frequency, and administrative division. Further analyses suggested a confounding relationship between administrative division and both breed and grazing system and the T. parva seropositivity. Random effects model yielded intra-farm correlation coefficient (ICC) of 0.18. The inclusion of farm random effect provided a substantially better fit than the standard logistic regression (P = 0.032). The results demonstrate substantial variability in the T. parva infection prevalence within all categories of the cattle population of Machakos County of Kenya, where East Coast fever is endemic.
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spelling CGSpace513402023-12-08T19:36:04Z Theileria parva infection seroprevalence and associated risk factors in cattle in Machakos County, Kenya Wesonga, F.D. Gachohi, John M. Kitala, P.M. Gathuma, J.M. Njenga, M.J. cattle animal diseases The principle objective of this study was to estimate the infection seroprevalence and identify risk factors associated with Theileria parva infection in cattle on smallholder farms in Machakos County, Kenya. A total of 127 farms were selected by a proportional allocation approach based on the number of farms in four divisions in the county previously selected by stratified random sampling method. Subsequently, a total sample of 421 individual animals was randomly selected from the farms. Information on animal and relevant individual farm management practices was gathered using a standardized questionnaire. Prevalence of serum antibodies was determined using the enzyme-linked immunosorbent assay (ELISA). Multivariable logistic models incorporating random effects at the farm level evaluated the association between the presence of T. parva antibodies and the identified risk variables. The overall estimation of T. parva antibodies in the county was 40.9 % (95 % confidence interval of 36.1, 45.7 %). Seroprevalence to T. parva was significantly associated with animal age, vector tick infestation in the animal, tick control frequency, and administrative division. Further analyses suggested a confounding relationship between administrative division and both breed and grazing system and the T. parva seropositivity. Random effects model yielded intra-farm correlation coefficient (ICC) of 0.18. The inclusion of farm random effect provided a substantially better fit than the standard logistic regression (P = 0.032). The results demonstrate substantial variability in the T. parva infection prevalence within all categories of the cattle population of Machakos County of Kenya, where East Coast fever is endemic. 2015-01 2014-11-01T15:21:41Z 2014-11-01T15:21:41Z Journal Article https://hdl.handle.net/10568/51340 en Limited Access Springer Wesonga, F.D., Gachohi, J.M., Kitala, P.M., Gathuma, J.M. and Njenga, M.J. 2015. Theileria parva infection seroprevalence and associated risk factors in cattle in Machakos County, Kenya. Tropical Animal Health and Production 47(1): 93-101.
spellingShingle cattle
animal diseases
Wesonga, F.D.
Gachohi, John M.
Kitala, P.M.
Gathuma, J.M.
Njenga, M.J.
Theileria parva infection seroprevalence and associated risk factors in cattle in Machakos County, Kenya
title Theileria parva infection seroprevalence and associated risk factors in cattle in Machakos County, Kenya
title_full Theileria parva infection seroprevalence and associated risk factors in cattle in Machakos County, Kenya
title_fullStr Theileria parva infection seroprevalence and associated risk factors in cattle in Machakos County, Kenya
title_full_unstemmed Theileria parva infection seroprevalence and associated risk factors in cattle in Machakos County, Kenya
title_short Theileria parva infection seroprevalence and associated risk factors in cattle in Machakos County, Kenya
title_sort theileria parva infection seroprevalence and associated risk factors in cattle in machakos county kenya
topic cattle
animal diseases
url https://hdl.handle.net/10568/51340
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