Statistical analysis

Data were analyzed using STATA 15. Continuous variables are presented as Mean (SD) while categorical variables as Percentages and numbers. Frequencies of correct knowledge, attitudes and practices answers were described. Total Knowledge scores were classified by demographic characteristics and compared using independent-samples t  test and one-way analysis of variance (ANOVA) as appropriate. Multiple linear regression analysis was conducted using all demographic variables as predictors and knowledge score as the outcome to identify factors associated with knowledge. Binary logistic regression analyses were used to identify demographic factors associated with attitude towards the preventable nature of the disease. Unstandardized regression coefficients with standard error, β (SE), and odds ratios along with their 95% confidence intervals, OR (95%CI) were used to quantify the associations between predictors and the outcomes. The statistical significance level was set at p < 0.05 (two-sided).