| dc.description.abstract | Over the last decades, major global efforts mounted to address the HIV
epidemic has realised notable successes in combating the pandemic. Sub
Saharan Africa still remains a global epicenter of the disease, accounting
for more than 70% of the global burden of infections. Despite the
widespread use of HIV mass media national campaigns as an intervention
in HIV prevention due to its numerous advantages since the mid-1980s,
HIV prevalence still remains a challenge in especially in some geographic
areas and populations. Therefore how HIV mass media interacts with
the prevailing HIV risk factors to cause an impact on HIV prevalence
remains a question not answered. This study considered Exposure to
HIV related media as a mediator variable believed to mediate the relationship
between HIV risk factors and HIV prevalence. Two logistic
regression models were formulated and used to compare the model with
mediation and that without mediation in order to establish the effect
of mediation on HIV prevalence. Models were fitted to real data from
2018 Kenya Population-based HIV Impact Assessment survey and estimation
of the model parameters was done using Maximum Likelihood
Estimation in R. Results of R analysis based on both Akaike’s Information
Criterion and the McFadden’s R2 value for model with mediation
revealed that the model formulated in presence of mediation was better
compared to that without mediation since the effects of mediation
variable were found to be more significant on HIV prevalence. | en_US |
