Modeling Hiv Prevalence In Kenya Using R Software
A clear understanding of geographic distribution of HIV-infected people and maintaining up-to-date lists and locations of facilities providing HIV-related services are essential for monitoring the epidemic and for providing treatment and care to the infected and their families. In this study, we major on human immunodeficiency virus (HIV) prevalence in each of the 47 counties in Kenya in relation to its spatial and determinants, using data from Kenya open data. There was also need to include spatial coordinates of the areas under study to be used to estimate spatial indicators such as the population density. We developed a model to predict HIV prevalence and therefore we were able to map HIV concentration areas at each county level. The study finds large sub regional variations in the prevalence of HIV in Kenya. Areas of high concentration of HIV-infected people have a disproportionately low density of HIV-related services.