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

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. 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. Several factors were significantly associated with infant mortality. Infants born to mothers with illiterate or primary education had a higher risk of death (HR = 3.003, p = 0.0014), while secondary education appeared protective (HR = 0.433, p < 0.0001). Low (HR = 2.527, p = 0.0078) and average (HR = 3.109, p = 0.0001) family income were significantly associated with increased risk. Home delivery (HR = 1.684, p = 0.0006), smaller-than-normal child size at birth (HR = 12.975, p < 0.0001), and a history of stillbirth (HR = 2.508, p = 0.003) were strong predictors of infant death. Additionally, maternal age at first marriage and total number of deliveries significantly affected survival outcomes. Efforts to reduce infant mortality in Sudan should prioritize maternal education, healthcare access, and targeted interventions for high-risk groups identified in this study.

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Publication Details

Journal
Discover Social Science and Health
Published
2025-11-24
DOI
https://doi.org/10.1007/s44155-025-00311-4
Primary Topic
Global Maternal and Child Health
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Mohammed Omar Musa Mohammed, Dawit Getnet Ayele, Ahmed Saied Rahama Abdallah, A. Mohammed
Discover Social Science and Health
Global Maternal and Child Health
article

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

Mohammed Omar Musa Mohammed, Dawit Getnet Ayele, Ahmed Saied Rahama Abdallah, A. Mohammed
article en

Abstract

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. 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. Several factors were significantly associated with infant mortality. Infants born to mothers with illiterate or primary education had a higher risk of death (HR = 3.003, p = 0.0014), while secondary education appeared protective (HR = 0.433, p < 0.0001). Low (HR = 2.527, p = 0.0078) and average (HR = 3.109, p = 0.0001) family income were significantly associated with increased risk. Home delivery (HR = 1.684, p = 0.0006), smaller-than-normal child size at birth (HR = 12.975, p < 0.0001), and a history of stillbirth (HR = 2.508, p = 0.003) were strong predictors of infant death. Additionally, maternal age at first marriage and total number of deliveries significantly affected survival outcomes. Efforts to reduce infant mortality in Sudan should prioritize maternal education, healthcare access, and targeted interventions for high-risk groups identified in this study.

Discover Social Science and HealthVol. 5(1)
Prince Sattam Bin Abdulaziz University (SA), Office of the Assistant Secretary for Planning and Evaluation (US), University of Business and Technology (SA), University of Gezira (SD)
Prince Sattam bin Abdulaziz University
Openalex Percentile: Top 53%
Global Maternal and Child Health
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