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DOI Prefix: 10.47001/IRJIET

Using Scientific Evidence Generated By the ARIMA Model to Urgently Respond to Numerous Factors Which Significantly Contribute to Neonatal Mortality in Peru

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: 406-413

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/2023.708060

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Abstract
This study uses annual time series data on neonatal mortality rate (NMR) for Peru 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 (2,2,2) model. The study findings indicate that neonatal mortality will continue to fall to levels below 5 deaths per 1000 live births by the end of 2030. We encourage the Peruvian government to address local factors that influence neonatal mortality such as quality, accessibility and affordability of neonatal healthcare services in poverty stricken regions of the country.
Keywords

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Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Using Scientific Evidence Generated By the ARIMA Model to Urgently Respond to Numerous Factors Which Significantly Contribute to Neonatal Mortality in Peru” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 8, pp 406-413, August 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.708060

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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