Logistic regression analysis of Risk factors
The uni-variable and multivariable logistic regression analysis included effects of age, herd size, study district and contact with animals from different pastoral association. In the current study finding, logistic regression analysis revealed that age, herd size and study districts have a direct relationship with seropositivity and FMDV. The age groups of cattle was found statistically significant, which means adult cattle were 2.97 times more (AOR=2.97, 95% CI: 1.33, 6.63) likely to have a chance of contracting FMD than young cattle. In regard to herd size, animals from medium herd size were 2.49 times more (AOR=2.49, 95% CI: 1.05, 5.92) likely to develop the disease as compared to small herd size animals. Similarly, cattle from large herd size were 6.05 time more (AOR=6.05, 95% CI: 2.54, 14.43) likely to develop the disease as compared to animals from small herd size. District was also found to be statistically associated with FMD incidence. Hence, animals found in Dubti district were 2.49 times more (AOR=2.49, 95% CI: 1.19, 5.17) likely to develop the disease as compared animals found in Asayita district as depicted (table 3). Animals’ contact with ungulate wild life was also used as risk factors and found statistically significant and cattle that contact regularly with ungulate wild life 8.97 times more (AOR=8.97, 95% CI: 3.24, 24.8) likely to develop the disease as compared to cattle having no contact with wild life by keeping other factors constant.
Table3: Summary of univariable and multivariable logistic regression analysis of potential risk factors associated with FMD in Selected districts of afar region.