Fig. 1From: Identifying Potential Factors Associated with High HIV viral load in KwaZulu-Natal, South Africa using Multiple Correspondence Analysis and Random Forest AnalysisProgress towards 95–95-95 targets of participants (2014–2015) . First 95: percentage of PLHIV who are aware of their HIV status; Second 95: percentage of those who knew their status and on ART; Third 95: percentage of those on ART and with low viral load; Composite low viral load: percentage of PLHIV with low viral loadBack to article page