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DOI Prefix: 10.47001/IRJIET

Modelling and Forecasting Immunization against Measles Disease in Philippines Using Artificial Neural Networks (ANN)

Mr. Takudzwa. C. MaradzeIndependent Researcher, Harare, ZimbabweDr. Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweMr. Thabani NYONISAGIT Innovation Center, Harare, Zimbabwe

Vol 5 No 3 (2021): Volume 5, Issue 3, March 2021 | Pages: 546-550

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 05-04-2021

doi Logo doi.org/10.47001/IRJIET/2021.503092

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Abstract
In this research article, the ANN approach was applied to analyze child immunization against measles in Philippines. The employed annual data covers the period 1982-2019 and the out-of-sample period ranges over the period 2020-2030. The residuals and forecast evaluation criteria (Error, MSE and MAE) of the applied model indicate that the model is stable in forecasting immunization coverage in the country. The ANN (12, 12, 1) model projections suggest that child immunization against measles in Philippines is likely to decline to around 4% by 2030. The Philippines government is encouraged to intensify child health surveillance and control programs in a manner that is consistent with the policy directions suggested in this study.
Keywords

Modelling, Forecasting, Artificial Neural Networks, ANN.


Citation of this Article

Mr. Takudzwa. C. Maradze, Dr. Smartson. P. NYONI, Mr. Thabani NYONI, “Modelling and Forecasting Immunization against Measles Disease in Philippines Using Artificial Neural Networks (ANN)” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 3, pp 546-550, March 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.503092

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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