Work

Determinants of infant mortality in Gezira State, sudan: a survival analysis using Cox proportional hazards model

Year: 2025

Type: article

Abstract: Background: Infant mortality is a critical indicator of population health, with the highest rates observed in sub-Saharan Africa. This study aims to identify factors associated with infant mortality in Gezira State, Sudan. Methods: A cross-sectional survey was conducted from July to December 2021, involving 332 participants selected using simple random sampling. Data was collected through a structured questionnaire, and the Cox proportional hazards regression model was used to identify significant predictors of infant mortality. Results: Significant predictors of infant mortality included parental education, father's occupation, family income, sex of the child, dead siblings, stillbirth, delivery method, birth size, breastfeeding ability, and maternal age-related variables. Several interaction effects were also significant. Conclusion: Efforts to reduce infant mortality in Sudan should prioritize maternal education, healthcare access, and targeted interventions for high-risk groups identified in this study.

Source: Discover Social Science and Health

DOI: 10.1007/s44155-025-00311-4

Authors: Mohammed Omar Musa Mohammed, Dawit G. Ayele, Ahmed Saied Rahama Abdallah, Aziza Ahmed Seneen Mohammed

Institutions: Prince Sattam Bin Abdulaziz University, University of Gezira

Language: English

Topic: Global Maternal and Child Health

Subfield: Pediatrics, Perinatology and Child Health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $1,490