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.