TY - JOUR
T1 - Forecasting progress
T2 - analyzing the trajectory of under-five child mortality for Ghana, Niger, Nigeria, and Sierra Leone towards SDG3 using ARIMA time series model
AU - Adama, Zakariya Kuupah
AU - Mettle, Felix Okoe
AU - Baiden, Benedict Mbeah
AU - Bii, Nelson Kiprono
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/12
Y1 - 2025/12
N2 - This study employs the AutoRegressive Integrated Moving Average (ARIMA) model to forecast under-five mortality rates in Ghana, Niger, Nigeria, and Sierra Leone for the years 2030 and 2031. Using World Bank Indicators data from 1967 to 2021, the study evaluates these countries’ progress toward achieving Sustainable Development Goal 3 (SDG 3), which aims to reduce under-five mortality to less than 25 deaths per 1,000 live births by 2030. The objective is to provide data-driven insights into future mortality trends, supporting policymakers and healthcare professionals in designing targeted interventions to accelerate progress. The results reveal distinct mortality patterns among the four countries. Ghana, Nigeria, and Sierra Leone exhibit a consistent decline in under-five mortality, while Niger shows a non-continuous decreasing trend, indicating potential stagnation or reversal. Projections for 2030 estimate mortality rates of 30.5 per 1,000 live births in Ghana, 109.5 in Niger, 84.5 in Nigeria, and 64.3 in Sierra Leone. By 2031, these rates are expected to reach 28.9 per 1,000 live births in Ghana, 110.4 in Niger, 81.7 in Nigeria, and 59.8 in Sierra Leone. The findings indicate that Ghana is on track to meet SDG 3, provided that sustained and enhanced healthcare interventions are implemented. However, Nigeria, Niger, and Sierra Leone remain off-target, requiring significant reductions in mortality rates to meet the SDG 3 benchmark. These projections offer valuable evidence for policymakers, emphasizing the need for urgent and data-driven strategies to combat under-five mortality in these nations.
AB - This study employs the AutoRegressive Integrated Moving Average (ARIMA) model to forecast under-five mortality rates in Ghana, Niger, Nigeria, and Sierra Leone for the years 2030 and 2031. Using World Bank Indicators data from 1967 to 2021, the study evaluates these countries’ progress toward achieving Sustainable Development Goal 3 (SDG 3), which aims to reduce under-five mortality to less than 25 deaths per 1,000 live births by 2030. The objective is to provide data-driven insights into future mortality trends, supporting policymakers and healthcare professionals in designing targeted interventions to accelerate progress. The results reveal distinct mortality patterns among the four countries. Ghana, Nigeria, and Sierra Leone exhibit a consistent decline in under-five mortality, while Niger shows a non-continuous decreasing trend, indicating potential stagnation or reversal. Projections for 2030 estimate mortality rates of 30.5 per 1,000 live births in Ghana, 109.5 in Niger, 84.5 in Nigeria, and 64.3 in Sierra Leone. By 2031, these rates are expected to reach 28.9 per 1,000 live births in Ghana, 110.4 in Niger, 81.7 in Nigeria, and 59.8 in Sierra Leone. The findings indicate that Ghana is on track to meet SDG 3, provided that sustained and enhanced healthcare interventions are implemented. However, Nigeria, Niger, and Sierra Leone remain off-target, requiring significant reductions in mortality rates to meet the SDG 3 benchmark. These projections offer valuable evidence for policymakers, emphasizing the need for urgent and data-driven strategies to combat under-five mortality in these nations.
KW - AutoRegressive integrated moving average (ARIMA) model
KW - Ghana
KW - Niger
KW - Nigeria
KW - Sierra Leone
KW - Sustainable development goal 3 (SDG3)
KW - Trends in mortality rates
KW - World bank indicators
UR - https://www.scopus.com/pages/publications/105003955228
U2 - 10.1186/s12889-025-22869-z
DO - 10.1186/s12889-025-22869-z
M3 - Article
AN - SCOPUS:105003955228
SN - 1472-698X
VL - 25
JO - BMC Public Health
JF - BMC Public Health
IS - 1
M1 - 1607
ER -