Tackling High Neonatal Mortality Rates in Liberia Using Empirical Evidence Generated by the Box-Jenkins ARIMA Model
Abstract
Liberia has several challenges such as
inadequate infrastructure, lack of skilled medical staff and shortage of
medical equipment and supplies. Furthermore, there is low contraceptive
prevalence which has resulted in high numbers of teenage pregnancies with 60
percent of neonatal deaths occurring among adolescent women. Tracking future
trends of neonatal mortality rate will guide decisions and allocation of resources
to maternal and child health program activities across the country. Therefore,
this study uses annual time series data on neonatal mortality rate (NMR) for
Liberia from 1963 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 (3,1,3) model. The
study findings indicate that neonatal mortality will continue to decline but
still remain very high throughout the out of sample period. Hence, the Liberian
policy makers should design appropriate and country specific maternal and child
health policies with special attention being given to addressing the major
drivers of neonatal deaths such as high teenage pregnancy rates, inadequate
infrastructure, lack of skilled medical staff and shortage of medical equipment
and supplies.
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. 336-340
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