Multilevel analysis of determinants of cattle deaths in Ethiopia
Yitagesu Kifelew Gizaw, A. R. Muralidharan, Zenebe Abebe Gebreegziabher, Biniyam Shumye Tefera, Alazar Gebeyehu
TL;DR
This paper examines factors influencing cattle deaths in Ethiopia using a multilevel analysis to inform better livestock management and policy.
Contribution
The study introduces a multilevel ZINB regression model to analyze cattle mortality in Ethiopia, revealing regional and household-level determinants.
Findings
14.6% of the variance in cattle deaths is attributed to regional differences.
Factors like vaccination status, farming type, and household characteristics significantly affect cattle mortality.
Promoting mixed farming and improving veterinary services could reduce cattle deaths.
Abstract
In Ethiopia, agriculture is a fundamental element of both the economy and the social fabric of the community. The sector employs 80-85 percent of the population and contributes 47% to the total GDP. Livestock contributes to people’s livelihoods through numerous channels: income, food, employment, transport, draft-over, manure, savings and insurance, social status, etc. Ethiopia is believed to have the largest livestock population in Africa. Despite this productive and reproductive performance is accompanied by poor health care, high disease incidence, poor management conditions, and unpredictable climactic conditions causing a significant cause of cattle death. The dependent variable is the count “number of occurrences of cattle death” that occurs randomly over time. A multilevel analysis was carried out with the anticipation that there would be variations in the number of cattle deaths…
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Taxonomy
TopicsAnimal Disease Management and Epidemiology · Livestock and Poultry Management · Viral Infections and Vectors