Modeled HIV incidence under different scenarios.

<p>A-1. Ratio of incident HIV cases (KX) compared early ART (scenario 1) with current situation. A-2. Ratio of incident HIV cases (KX) compared early diagnosis (scenario 2) with current situation. A-3. Ratio of incident HIV cases (KX) compared PrEP (scenario 3) with current situation. A-4. Ratio of incident HIV cases (KX) compared all interventions (scenario 5) with current situation. B-1. Ratio of prevalent HIV cases (Y_1–4) compared early ART (scenario 1) with current situation B-2. Ratio of prevalent HIV cases (Y_1–4) compared early diagnosis (scenario 2) with current situation. B-3. Ratio of prevalent HIV cases (Y_1–4) compared PrEP (scenario 3) with current situation. B-4. Ratio of prevalent HIV cases (Y_1–4) compared all interventions (scenario 5) with current situation. NOTE: The boxplot contains the median value of the data (horizontal red line), and extends from the first to the third quartile when simple random sampling with uniform distributions between ±10% of baseline of all parameters are used. Whisker bars are extended to minimum and maximum. Figures are the simulations of scenarios 1, 2, and 3, and 5. The X-axis represented the time sequence from initial to 40 years, and the Y-axis represented the ratio of HIV incidence (KX) and prevalence (Y_1–4) compared with current status. Plots over zero represented a decrease over HIV incidence and prevalence than the current situation, while plots under zero meant an increase in HIV incidence and prevalence over current situation.