Debre Birhan Agricultural Research Center, Debre Birhan, Ethiopia.
College of Veterinary Medicine and Animal Sciences, Department of Veterinary Epidemiology and Public Health, University of Gondar, Gondar, Ethiopia.
Vet Med Sci. 2022 Sep;8(5):2183-2193. doi: 10.1002/vms3.876. Epub 2022 Jul 10.
Analysis of survival data by linear or logistic model ignores censoring and skewness inherent in the mortality data. The objective of this study is to estimate the morbidity and mortality rates of kids and adult goats, identify important risk factors for mortality using survival analysis and summarise important causes of goat death.
Nonparametric survival analysis and a piecewise exponential model (PEM) were used.
The mortality rates of kids and adult goats were 0.629 and 0.302 per animal year, respectively. The 25th, 50th and 75th percentiles of survival time of kids were 5, 162 and 1300 days, respectively, and those of adults and goats were 280, 828 and 1,735 days, respectively. Gastrointestinal-related diseases, pneumonia, weak kid, agalactia, mismothering and heartwater (cowdriosis) were the most important causes of mortality. Constant piecewise exponential regression analysis of risk factors indicated that breed, kid birth weight, doe post-partum weight (PPWT), birth type, birth year and precipitation variables were associated with (p-value < 0.05) kid mortality rate. Pure Boer kids compared with Central Highland goat cross with Boer goats were 2.505 times at a higher probability of mortality (p-value < 0.001). A 1-kg increase in kid birth weight and dam PPWT reduces mortality probability by 32.5% (p-value = 0.000) and 6.4% (p-value < 0.001), respectively. Twin birth kids had a 1.512 times higher rate of mortality (p-value = 0.001) than single-born kids. A 1-ml increment of 15 days of average precipitation significantly reduced kid mortality by 7.8% (p-value < 0.001).
Vaccination, extensive control of ticks and the use of proper comfortable housing to reduce the stress of goats are recommended. Scheduling a mating programme (May to early July) to match the kidding period to the less kid mortality seasons (end of the long rainy season) of flocks is also important to reduce kid mortality.
线性或逻辑回归模型分析生存数据时忽略了死亡率数据中固有的删失和偏态。本研究旨在通过生存分析估计儿童和成年山羊的发病率和死亡率,确定死亡率的重要危险因素,并总结山羊死亡的重要原因。
使用非参数生存分析和分段指数模型(PEM)。
儿童和成年山羊的死亡率分别为每只动物 0.629 和 0.302 动物年。儿童的 25、50 和 75 百分位生存时间分别为 5、162 和 1300 天,而成年人和山羊的生存时间分别为 280、828 和 1735 天。与胃肠道相关的疾病、肺炎、体弱的羔羊、无乳症、错配和心水(科维利病)是导致死亡的最重要原因。对危险因素的常数分段指数回归分析表明,品种、羔羊出生体重、产后母羊体重(PPWT)、分娩类型、分娩年份和降水变量与羔羊死亡率相关(p 值<0.05)。与中央高地山羊与布尔山羊杂交的纯布尔羔羊的死亡率更高,概率为 2.505 倍(p 值<0.001)。羔羊出生体重增加 1 公斤和母羊产后体重(PPWT)分别降低死亡率的概率为 32.5%(p 值=0.000)和 6.4%(p 值<0.001)。双胎出生的羔羊的死亡率比单胎出生的羔羊高 1.512 倍(p 值=0.001)。平均降水增加 15 天增加 1 毫升,显著降低 7.8%的羔羊死亡率(p 值<0.001)。
建议接种疫苗、广泛控制蜱虫和使用适当舒适的住房来减轻山羊的压力。安排配种计划(5 月至 7 月初),使产羔期与羔羊死亡率较低的季节(长雨季结束时)相匹配,也有助于降低羔羊死亡率。