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Fig. 4 | BMC Medical Research Methodology

Fig. 4

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

Fig. 4

Multiple correspondence analysis factor map of individual and variables categories with 95% confidence ellipses in 2014 and 2015 survey. Factors map further show a stronger level of correlation and interaction between variables, categories and individual HIV positive men and women. In 2014 survey, factors such as perceived risk of contracting HIV, ever tested for HIV, on medication to prevent HIV, no money, had STI symptoms and ever tested for TB, while in the 2015 survey variables such as are education level, gender, ever diagnosed of TB, on medication to prevent HIV, the number of a lifetime sex partner, meal cut, on medication to prevent TB, had STI symptoms, the number of sex partner in last 12 months shows no convergence of confidence ellipses, implying these factors contribute to high viral load in this population. Also, a more clustering is observed in 2014 as compared to 2015

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