An Explicit Research Methodology Suitable for Studying Factors Influencing Under-Five Child Mortality in Four East African Nations

Under-five mortality remains a significant public health challenge in East Africa, exacerbated by socioeconomic, environmental , and health systems inequities. This paper aims to provide a transparent and replicable methodology for studying the determinants of child mortality.

A pragmatic and deductive research approach was followed, utilizing the research onion model. This model-based framework combines fixed effects models, additive regression, Cox models, Bayesian meta-analysis, and time series analysis, fitted to panel data with surveys from the DHS and the World Bank.

Due to the methodological nature of this research, no empirical results are reported. However, the article provides processes for variable selection, data harmonization, model justification, and validation that should be carried out in further empirical research.

The proposed method encourages transparency, reproducibility, and generalizability across data structures. It seeks to reinforce evidence-based child survival policy-making, strengthening the methodological quality of international health comparisons.

Cross-sectional and longitudinal under-five mortality studies have been conducted due to the use of structured methodology, and they inform future research and intervention strategies toward the attainment of SDG 3.2 in East Africa.