Rwanda’s Art Program Success Story: Insights from the Artificial Neural Networks
Abstract
Rwanda is one of the nations in Africa which has significantly improved
access to antiretroviral therapy (ART) for people living with HIV. Modeling ART
coverage in this country will help to assess the impact of the efforts made by
government to improve access to ART and to control the HIV epidemic. In this
research article, the ANN approach was applied to analyze ART coverage in
Rwanda. The employed annual data covers the period 2000-2018 and the
out-of-sample period ranges over the period 2019-2023. The residuals and
forecast evaluation criteria (Error, MSE and MAE) of the applied model indicate
that the model is stable in forecasting ART coverage in Rwanda. The results of
the study indicate that ART coverage will be very high around 90%. The
government is encouraged to continue on this commendable path. The authorities
should continue strengthening TB/HIV collaboration and strengthen tracking of
loss to follow up ART clients to improve adherence and clinical outcomes.
Country : Zimbabwe
1 Dr. Smartson. P. NYONI2 Thabani NYONI
ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
Department of Economics, University of Zimbabwe, Harare, Zimbabwe
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