Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/22624
Title: Prevalence and Risk Factors of Bovine Coccidiosis in Alselait Agricultural Scheme-Khartoum State
Other Titles: معدل إنتشار و عوامل الخطر لمرض الكوكسيديا في الأبقار في مشروع السليت الزراعي بولاية الخرطوم
Authors: Mohammed, Tasneem Mohammedelhassan Hussein
Supervisor, -Siham Elias Suliman
Keywords: Veterinary Medicine
Veterinary Public Health
Bovine Coccidiosis
Alselait Agricultural Scheme
Issue Date: 17-Mar-2018
Publisher: Sudan University of Science and Technology
Citation: Mohammed, Tasneem Mohammedelhassan Hussein . Prevalence and Risk Factors of Bovine Coccidiosis in Alselait Agricultural Scheme-Khartoum State \ TasneemMohammedelhassan Hussein Mohammed ; Siham Elias Suliman .- Khartoum:Sudan University of Science & Technology,College of Veterinary Medicine,2018.- 37 p.:ill.;28cm.-M.Sc.
Abstract: A cross-sectional study was carried out to estimate the prevalence of Coccidiosis in cattle and to investigate the potential risk factors associated with the disease during February 2018 in Alselait Agricultural Scheme, Khartoum State, Sudan. A total of 100 cattle were examined randomly for the presence of Eimeriaspp.oocysts using fecal floatation technique. The overall prevalence rate was 25%. The infection rate in the local breeds was 0% , whilst 25% in the cross breeds. The infection rate according to the age from a day up to 2 years old was 23.4%, 30%,50% and 6.66% ,respectively. The infection rate in males was 25.5% whereas in females was 24.5%. The infection rate in poorly managed farms was 20.9% , while 50% in well managed farms. The infection rate was 17.1%, 23.2% and 40.9% in poor, medium and good body condition animals, respectively. Univariate analysis using the Chi-square, with confidence intervals of 95% at a p-value ≤0.25 was used to identify the potential risk factors associated with bovine coccidiosis . Significant positive risk factors associated with bovine coccidiosis in the univariate analysis, there were found to be breed (X2= 2.128 , P-value = 0.145 ) , age(X2= 5.819, P-value= 0.121), body condition (X2= 4.192, P-value= 0.123) and farm management (X2=5.426 , P-value= 0.020 ). The multivariate analysis, using logistic regression CI = 95% ,p value ≤ 0.05 showed highly significant association between bovine coccidiosis and farm management Exp (B)=8.667. It was concluded that the potential risk factor (farm management) showed highly significant association with Coocidiosis infection.
Description: Thesis
URI: http://repository.sustech.edu/handle/123456789/22624
Appears in Collections:Masters Dissertations : Veterinary Medicine

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