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

Drafting and Implementing Appropriate Neonatal Healthcare Solutions in Senegal Using Forecasts Generated By the ARIMA Model

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: 438-444

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/2023.708064

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Abstract
This study uses annual time series data on neonatal mortality rate (NMR) for Senegal 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 (1) variable. The optimal model based on AIC is the ARIMA (2,1,2) model. The study results indicate that neonatal mortality will gradually decline from 21 in 2020 to 18 deaths per 1000 live births by the end of 2030. It is therefore important for the government to address local drivers of mortality among neonates.
Keywords

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Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Identification of Neonatal Healthcare Solutions in Austria Using Empirical Evidence Generated By the ARIMA Model” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 8, pp 438-444, August 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.708064
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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