Skip to main content
Fig. 5 | BMC Medical Research Methodology

Fig. 5

From: Identifying Potential Factors Associated with High HIV viral load in KwaZulu-Natal, South Africa using Multiple Correspondence Analysis and Random Forest Analysis

Fig. 5

Random Forest plot showing high importance predictors of high viral load (2014 and 2015 survey). High importance predictors in 2014 are: ARV dosage, CD4 cells per μL, perceived risk of contracting HIV, ARV, knowledge of HIV status, alcohol, ever diagnosed with TB, ever tested with TB, on TB medication, total number of sex partners last 12 months, gender, total number of lifetime sex partners, place of resident, length of stay in community and education status. While in 2015 high importance predictors are: ARV dosage, CD4 cells per μL, exposed to TB last 12 months, ever diagnosed with TB, on TB medication, knowledge of HIV status, ARV, meal cut, no money, gender, perceived risk of contracting HIV, length of stay in community, total number of lifetime sex partners and education status

Back to article page

BMC Medical Research Methodology

ISSN: 1471-2288

Contact us