ArticlePublic health in practice (Oxford, England)2026
Survival analysis of time-to-death for under-five children in Somalia: Application of AFT modeling approach.
Article in Public health in practice (Oxford, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: Sub-Saharan Africa continues to experience the highest under-five mortality rates globally, contributing 29.7% of all under-five deaths despite a 60% global decline between 1990 and 2022. This study aims to analyze time to death among children under five in Somalia and identify the key factors influencing child survival. Study design: The data used in this study is a population-based cross-sectional survey using a multistage stratified cluster sampling design. Methods: In this study, 17,610 children under five from a Somalia 2020 demographic and health survey (DHS) were used. The accelerated failure time (AFT) model was used to analyze the time to death of under-five children. Survival time ratios (TR) and corresponding p-values were used to identify significant determinants of child survival. Results: Of the total 17,610 children, about 689 children (3.91%) experienced the event (death). Several AFT models were compared, and the Weibull AFT model was selected as the best fit. The results of the Weibull AFT model showed that significant factors that influence child survival include maternal age at the first birth, preceding birth interval, the number of children ever born, and regional disparities. Longer birth intervals (18-59 months) increased survival time for the children, while shorter or excessively long intervals reduced survival. Mothers aged 20-29 at first birth showed a 49.2% increase in survival time (TR = 1.492; p = 0.003), compared to the younger mother. The shape parameter (0.607) suggests a declining hazard rate over time. Conclusions: This study highlights critical maternal, familial, and regional factors that influence child survival in Somalia. Strengthening targeted interventions, particularly those promoting optimal birth spacing and supporting younger mothers, may substantially improve under-five children survival outcomes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.