Salih D A, El Hussein A M, Kyule M N, Zessin K-H, Ahmed J S, Seitzer U
Division of Veterinary Infection Biology and Immunology, Research Center Borstel, Parkallee 22, 23845, Borstel, Germany.
Parasitol Res. 2007 Oct;101(5):1285-8. doi: 10.1007/s00436-007-0634-4. Epub 2007 Jun 27.
A multi-variate logistic regression analysis was performed on two sets of data on the prevalence of Theileria annulata in Northern Sudan and Theileria parva in Southern Sudan, to determine the potential risk factors that might affect the distribution of the infections in those regions. The logistic regression model was fit with the tested risk factors for each disease, separately. The results indicated that locations, management systems and age could be held as risk factors for T. annulata infection in Northern Sudan, while for T. parva locations and seasons could be held as risk factors in Southern Sudan. The results of this study will assist in the development of more effective control strategies for smallholder dairy farms in the country.
对苏丹北部环形泰勒虫流行率和苏丹南部小泰勒虫流行率的两组数据进行了多变量逻辑回归分析,以确定可能影响这些地区感染分布的潜在风险因素。逻辑回归模型分别针对每种疾病的测试风险因素进行拟合。结果表明,地点、管理系统和年龄可被视为苏丹北部环形泰勒虫感染的风险因素,而对于小泰勒虫,地点和季节可被视为苏丹南部的风险因素。本研究结果将有助于该国小农户奶牛场制定更有效的控制策略。