Hence, a positive relationship between level of education and adaptation decisions is expected.
The results in some cases contrast with the expectation of direct correlation between level of education and professional condition.
There was no significant (p > 0.05) difference and negative correlation (r = −0.312) between level of education knowing whether brucellosis, TB and kidney failure affect humans.
Previous research indicates a positive relationship between level of education, college degree attainment, and acceptance of evolution (Heddy & Nadelson, 2012; Nadelson and Sinatra 2009; Sustersic 2007).
There was no significant (p > 0.05) difference and negative correlation between level of education and accessibility to veterinary drug store (r = −0.263) or in constraints of getting veterinary drugs (r = −0.347).
There was no significant (p > 0.05) difference but there was negative correlation (r = −0.312) between level of education and likely presence of residual veterinary drugs in camel milk (r = −0.447) knowing that presence of residual veterinary drugs in camel milk is a risk (r = −0.339).
There was significant (p = <0.05) difference and negative correlation (r = −0.387) between level of education and knowledge and information on the right veterinary drug to use. Figure 3 Sources of knowledge and information on right type of veterinary drug to use.
There was no significant (p > 0.05) difference and negative correlation between level of education and pastoralists knowing diseases that affect camels in the study area (r = −0.312) or knowing whether brucella, tuberculosis (TB) and mastitis affect camels in the study area (r = −0.352).
However, no association between level of education and chronic disease was found.
There was a positive correlation between level of education and knowledge on STI (P < 0.05).
In this study, a significant correlation was found between level of education and income.
