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

Neonatal Health Policy-Making in Denmark through Utilization of a Time Series Forecasting Technique

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

Vol 7 No 8 (2023): Volume 7, Issue 8, August 2023 | Pages: 256-260

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 25-09-2023

doi Logo doi.org/10.47001/IRJIET/2023.708035

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Abstract
This study uses annual time series data on neonatal mortality rate (NMR) for Denmark from 1960 to 2019 to predict future trends of NMR over the period 2020 to 2030. Unit root tests have shown that the series under consideration is an I (2) variable. The optimal model based on AIC is the ARIMA (1,2,3) model. The ARIMA model predictions revealed that neonatal mortality will continue to decline and remain low throughout the forecast period. Hence, we implore policy makers in Denmark to craft neonatal policies which are suitable for their setting to address local factors that contribute to neonatal mortality.
Keywords

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Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Neonatal Health Policy-Making in Denmark through Utilization of a Time Series Forecasting Technique” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 8, pp 256-260, August 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.708035

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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