Structural Equation Modeling and Management Role On The Control of Marek’s Disease Outbreaks in Amhara Region Ethiopia

Abstract Background Marek’s disease is a highly contagious and economically important oncogenic or paralytic viral disease of poultry and it is becoming a serious problem in the poultry industry of Ethiopia. A questionnaire was designed based on the framework to confirmed how the farm management is reduced the outback of the mark’s diseases. Each model construct was measured using a set of rating scale items (questions). A sample size of 200 farmers from different production systems were chosen for data collection. From the analysis, Cornbrash’s Alpha (coefficient of reliability) based on the average inter-item correlations were evaluated for each parameter. This structural equation model examines the relationship between risk factors (flock size, litter management, number of staff) and the risk of each farm (numbers of sick, drops in egg production, and the number of death). Results When litter management goes up by 1, the number of sick goes down by 37.575, the number of staff goes up by 1, the number of sick goes down by 7.63, litter management goes up by 1, the number of death goes down by 2.505, flock size goes up by 1, and the number of death goes down by 0.007.than the rest of the activities. The result of this structural equation modeling the finding indicates that the data fit the model well (Chi-square =0.201, root mean square error of approximation = 0.000, the comparative fit index = 1.00, the tucker-lewis coefficient = 1.496, Degrees of freedom =2) and the model was appropriated. Conclusions Therefore, it can be concluded that the model must give due attention to the risk factors such as flock size, litter management, number of staff which is different from the previous research result and this might be due to the fact that the effects of environmental factors are more on procurement and integration than the other farm risk factors.