Forecasting Art Coverage in Egypt Using Artificial Neural Networks

Abstract

In this research article, the ANN approach was applied to analyze ART coverage in Egypt. 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 Egypt. The results of the study indicate that ART coverage will remain very low in Egypt over the period 2019-2023. The government is encouraged to intensify demand creation for HIV testing and ART services amongst other strategies.

Country : Zimbabwe

1 Dr. Smartson. P. NYONI2 Thabani NYONI

  1. ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
  2. Department of Economics, University of Zimbabwe, Harare, Zimbabwe

IRJIET, Volume 5, Issue 3, March 2021 pp. 156-160

doi.org/10.47001/IRJIET/2021.503027

References

  1. David P. Urassa., Sarah Matemu & Bruno F Sunguya (2018).Antiretroviral therapy clinic attendance among children aged 0-14 years in Kahama district, Tanzania: a cross-sectional study  Tanzania Journal of Health Research  Doi: http://dx.doi.org/10.4314/thrb.v20i1.8 Volume 20, Number 1, January 2018
  2. National HIV and AIDS Health Sector Research and Evaluation Agenda (2011 - 2015). National AIDS Control Program, Tanzania. NACP
  3. Rosen S & Fox MP (2011). Retention in HIV care between testing and treatment in sub-Saharan Africa: a systematic review. PLoS Med. 8(7): e1001056. https://doi.org/10.1371/journal.pmed.1001056 PMID: 21811403
  4. WHO (2016). Consolidated guidelines on the use of antiretroviral drugs for treating and preventing HIV infection. Geneva.
  5. WHO (2018). Access to antiretroviral and direct-acting antiviral medicines, and HIV diagnostics. 2016 update. WHO: Geneva.