| dc.description.abstract | Identification of the risk factors associated with HIV / AIDS is an important tool for the government
and other Non-governmental bodies like WHO and UNAIDS involved with the war against
HIV/ AIDS. Such knowledge can be used in planning of interventions to be used in public health
programmes. Various studies have been undertaken to collect information related to the virus
and analyze the data in order to identify the risk factors associated with HIV / AIDS. In this study,
the statistical technique, mainly the logistic regression model has been used. To assess for the
statistical significance of the variables, the pearson chi-square, Odds Ratio, Wald statistic and
the loglikelihood tests were used. To select the best model, stepwise logistic regression procedure
was used. Results show that the variables education, marital status, gender, age and condom
use with non-steady partners were found to be significantly associated with their HIV status. | |
