Immunization Coverage and Its Determinants Among Children Aged 12-23 Months in East Africa: A Bayesian Hierarchical Modeling Approach Based on DHS 2019-2022.

IF 2.3 3区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
BioMed Research International Pub Date : 2025-10-03 eCollection Date: 2025-01-01 DOI:10.1155/bmri/6645541
Simachew Getaneh Endalamew, Ejigu Gebeye, Solomon Keflie Assefa, Bisrat Misganaw Geremew
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引用次数: 0

Abstract

Background: Vaccines constitute a fundamental component of public health interventions, preventing the transmission of numerous diseases. Nevertheless, vaccines remain underutilized in various regions globally, particularly in East African nations, where high mortality rates among children under 5 years of age are predominantly attributable to vaccine-preventable diseases. Consequently, this investigation is aimed at evaluating children's vaccination coverage and its associated determinants in East Africa utilizing Bayesian hierarchical modeling based on Demographic and Health Survey (DHS) data (2019-2022).

Methods: This study analyzed nationally representative data from the DHS, a standardized cross-sectional household survey program that collects health and population data using stratified two-stage cluster sampling. Data were drawn from surveys conducted between 2019 and 2022 in five East African countries: Ethiopia (2019), Kenya (2022), Mozambique (2022), Rwanda (2019/20), and Tanzania (2022). A Bayesian hierarchical regression model was applied to identify factors influencing vaccination coverage, evaluating four candidate models using leave-one-out cross-validation to select the best fit. Statistical significance was assessed using 95% posterior credible intervals (CrIs) after confirming model convergence.

Results: A total of 15,703 weighted children aged 12-23 months were included, with an overall survey response rate of 97.2%. A substantial proportion of children (73.81%) were only partially immunized, highlighting a critical gap in achieving full vaccination coverage. The Bayesian hierarchical ordinal logistic regression showed that several factors were significantly associated with the odds of being in a higher vaccination category versus a lower one. Children residing in Kenya had 3.10 times higher odds of being in a higher vaccination category compared with those in Ethiopia (AOR = 3.10; 95% CrI: 2.49-3.86). Maternal media exposure (AOR = 1.25, 95% CrI: 1.15, 1.38), maternal education (secondary or above) (AOR = 1.42, 95% CrI: 1.21, 1.67), health facility delivery (AOR = 1.53, 95% CrI: 1.19, 1.96), postnatal care visit (AOR = 1.28, 95% CrI: 1.15, 1.43), skilled birth attendance (AOR = 1.61, 95% CrI: 1.24, 2.079), and antenatal care (ANC) visits (four and above) (AOR = 4.08, 95% CrI: 3.44, 4.84) were all positively associated with higher odds of being in a higher vaccination category.

Conclusions: Vaccination coverage remains low across East Africa, with significant regional disparities. These results highlight the need for focused interventions in high-risk areas and addressing key determinants to improve childhood vaccination rates.

东非12-23个月儿童的免疫覆盖率及其决定因素:基于DHS 2019-2022的贝叶斯分层建模方法
背景:疫苗是公共卫生干预措施的基本组成部分,可预防许多疾病的传播。然而,在全球各区域,特别是在东非国家,疫苗使用率仍然不足,那里5岁以下儿童的高死亡率主要是由于疫苗可预防的疾病。因此,本调查旨在利用基于人口与健康调查(DHS)数据(2019-2022年)的贝叶斯分层模型评估东非儿童疫苗接种覆盖率及其相关决定因素。方法:本研究分析了来自DHS的具有全国代表性的数据,DHS是一个标准化的横断面家庭调查项目,使用分层两阶段整群抽样收集健康和人口数据。数据来自2019年至2022年在五个东非国家进行的调查:埃塞俄比亚(2019年)、肯尼亚(2022年)、莫桑比克(2022年)、卢旺达(2019/20)和坦桑尼亚(2022年)。采用贝叶斯层次回归模型识别影响疫苗接种覆盖率的因素,采用留一交叉验证对4个候选模型进行评估,以选择最适合的模型。在确认模型收敛后,使用95%后验可信区间(CrIs)评估统计学显著性。结果:共纳入12-23月龄儿童15703例,调查总有效率为97.2%。相当大比例的儿童(73.81%)仅获得部分免疫接种,这突出表明在实现完全疫苗接种覆盖率方面存在重大差距。贝叶斯层次有序逻辑回归显示,有几个因素与较高的疫苗接种类别与较低的类别的几率显著相关。与埃塞俄比亚的儿童相比,居住在肯尼亚的儿童接种更高类别疫苗的几率高出3.10倍(AOR = 3.10; 95% CrI: 2.49-3.86)。孕产妇媒体曝光(AOR = 1.25, 95%区间:1.15,1.38),母亲教育(二级以上)(优势比= 1.42,95%区间:1.21,1.67),卫生设施交付(优势比= 1.53,95%区间:1.19,1.96),产后护理访问(优势比= 1.28,95%区间:1.15,1.43),熟练的助产服务(优势比= 1.61,95%区间:1.24,2.079),和产前护理(ANC)访问(4及以上)(优势比= 4.08,95%区间:3.44,4.84)都与几率的增加呈正相关的更高的疫苗接种类别。结论:东非的疫苗接种覆盖率仍然很低,存在显著的区域差异。这些结果突出表明,需要在高风险地区采取重点干预措施,并解决关键决定因素,以提高儿童疫苗接种率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BioMed Research International
BioMed Research International BIOTECHNOLOGY & APPLIED MICROBIOLOGY-MEDICINE, RESEARCH & EXPERIMENTAL
CiteScore
6.70
自引率
0.00%
发文量
1942
审稿时长
19 weeks
期刊介绍: BioMed Research International is a peer-reviewed, Open Access journal that publishes original research articles, review articles, and clinical studies covering a wide range of subjects in life sciences and medicine. The journal is divided into 55 subject areas.
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