Evidence map›Paper›PMID 40312307›Full record

ArticleBMC public health2025

Forecasting progress: analyzing the trajectory of under-five child mortality for Ghana, Niger, Nigeria, and Sierra Leone towards SDG3 using ARIMA time series model.

Zakariya Kuupah Adama, Felix Okoe Mettle, Benedict Mbeah Baiden, Nelson Kiprono Bii

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Zakariya Kuupah AdamaUniversity of Ghana, Accra, Ghana. adamazakariya39@gmail.com.
Felix Okoe MettleUniversity of Ghana, Accra, Ghana.
Benedict Mbeah BaidenUniversity of Ghana, Accra, Ghana.
Nelson Kiprono BiiStrathmore University, Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Child MortalityInfant MortalitySustainable DevelopmentChild, PreschoolForecastingGhanaHumansInfantInfant, NewbornModels, StatisticalNigerNigeriaSierra LeoneAutoRegressive integrated moving average (ARIMA) modelGhanaNigerNigeriaSierra LeoneSustainable development goal 3 (SDG3)Trends in mortality ratesWorld bank indicators

Identifiers

PMID40312307
PMCPMC12044808

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.