Neonatal Health Policy-Making in Denmark through Utilization of a Time Series Forecasting Technique
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.
Country : Zimbabwe
1 Dr. Smartson. P. NYONI2 Thabani NYONI
ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
Independent Researcher & Health Economist, Harare, Zimbabwe
IRJIET, Volume 7, Issue 8, August 2023 pp. 256-260
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