2.7. Data analysis
Data were analyzed using IBM Statistical Package for Social Sciences
(SPSS) software package version 23 and Epi-Info version 3.5.1.
Descriptive statistics such as frequencies and percentages were
determined. Association between categorical variables and the outcome
variable was assessed by calculating the odds ratios (OR). Chi-square
(χ2) test was used to determine statistical significance. A
multivariable logistic regression model was used to determine predictors
of GIP infection while adjusting for other covariates that were
significant at p < 0.10 in the bivariate analysis. The best
fit model was selected based on the Likelihood Ratio. Adjusted odds
ratios (AOR) and 95 % Confidence Interval (95%CI) were reported. The
level of significance was at 5 %.