International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Modelling and Forecasting Child Immunization against Measles Disease in Burkina Faso Using Artificial Neural Networks (ANN)

Abstract

In this research paper, the ANN approach was applied to analyze child immunization trends in Burkina Faso. The employed data covers the period 1985 – 2020 and the out-of-sample period ranges over the period 2021 – 2025. The residuals and forecast evaluation criteria (Error, MSE and MAE) of the applied model indicate that the model is quite stable. The results of the study indicate that it is possible to win the war against the scourge of measles in the country. A 3-fold policy recommendation has been suggested in order to help public health policy makers in controlling the disease in the country.

Country : Zimbabwe

1 Mr. Takudzwa. C. Maradze2 Dr. Smartson. P. NYONI3 Mr. Thabani NYONI

  1. Independent Researcher, Harare, Zimbabwe
  2. ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
  3. SAGIT Innovation Center, Harare, Zimbabwe

IRJIET, Volume 5, Issue 3, March 2021 pp. 487-491

doi.org/10.47001/IRJIET/2021.503082

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