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

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DOI Prefix: 10.47001/IRJIET

Assessing the Feasibility of Achieving Substantial Reduction of Under Five Mortality in Papua New Guinea Using Artificial Neural Networks

Dr. Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweThabani NYONIIndependent Researcher & Health Economist, Harare, Zimbabwe

Vol 6 No 7 (2022): Volume 6, Issue 7, July 2022 | Pages: 418-421

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 06-09-2022

doi Logo doi.org/10.47001/IRJIET/2022.607091

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Abstract
This study uses annual time series data on under five mortality rate (U5MR) for Papua New Guinea from 1960 to 2020 to predict future trends of U5MR over the period 2021 to 2030. Residuals and forecast evaluation criteria indicate that the applied ANN (12, 12, 1) model is stable in forecasting under five mortality rate. ANN model projections indicate thatU5MR will remain around 40 deaths per 1000 live births throughout the out of sample period. Therefore, we encourage health authorities in Papua New Guinea to channel more resources to the maternal and child health (MNCH) program to ensure availability of medical supplies and health professionals at every level of healthcare in the country. 
Keywords

ANN, Forecasting, U5MR


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Assessing the Feasibility of Achieving Substantial Reduction of Under Five Mortality in Papua New Guinea Using Artificial Neural Networks” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 6, Issue 7, pp 418-421, July 2022. Article DOI https://doi.org/10.47001/IRJIET/2022.607091

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