Socioeconomic Determinants of Infant Mortality Disparities in Nigeria: Evidence from the 2024 Nigeria Demographic and Health Survey

Socio-demographic factors and how they relate with infant mortality rates (IMR) in Nigeria were explored. The dataset for the research was sourced from the 2023/2024 DHS program and the dataset can be readily and freely obtained from https://dhsprogram.com/data/available-datasets.cfm. The data was analyzed using R Studio (v 4.4.1). This is a supplementary material to accompany the manuscript developed from the data, containing two tables and two figures. The first table contains descriptive statistics of the dataset used for this work, and the second contains the results for test of collinearity among the explanatory variables (socioeconomic determinants) and with the outcome variable (infant mortality) which answers the fit of the dataset. There are also two figures; a bar graph indicating the occurrence of IMR by education level, and a forest plot showing the odds ratios, or risk of infant mortality per the explanatory variables.

本研究探讨了尼日利亚的社会人口学因素及其与婴儿死亡率（Infant Mortality Rate, IMR）的关联。本研究数据集取自2023/2024年人口与健康调查（Demographic and Health Surveys, DHS）项目，该数据集可通过https://dhsprogram.com/data/available-datasets.cfm免费获取。本研究采用R Studio（v 4.4.1）完成数据分析。本材料为基于该数据集撰写的研究论文的补充资料，包含两张表格与两幅图表。第一张表格为本研究所用数据集的描述性统计结果；第二张表格展示了解释变量（即社会经济决定因素）间及解释变量与结局变量（婴儿死亡率）间的共线性检验结果，用于验证数据集的拟合效果。本次补充材料还包含两幅可视化成果：其一为柱状图，展示不同教育水平下的婴儿死亡率发生情况；其二为森林图，呈现各解释变量对应的婴儿死亡优势比（Odds Ratio, OR），即婴儿死亡的相对风险。