Usage of Forecasts Produced By the ARIMA Model to Address Existing Maternal and Neonatal Healthcare Challenges in Panama

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: 398-405

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/2023.708059

Abstract
This study uses annual time series data on neonatal mortality rate (NMR) for Panama 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 (0,2,3) model. The study findings indicate that neonatal mortality will continue to drop throughout the forecast period to reach levels as low as 6 deaths per 1000 live births by the end of 2030. Hence, we encourage authorities in Panama to address local factors which contribute to neonatal mortality such as accessibility, affordability and quality of maternal and neonatal healthcare services especially in marginalized regions of the country.
Keywords

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Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Usage of Forecasts Produced By the ARIMA Model to Address Existing Maternal and Neonatal Healthcare Challenges in Panama” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 8, pp 398-405, August 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.708059

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