Determinants of Second Dose Measles Vaccination Coverage in Somaliland: A Binary and Multivariate Logistic Regression Analysis

索马里兰麻疹疫苗第二剂接种率的决定因素:二元和多元逻辑回归分析

阅读:1

Abstract

INTRODUCTION: Understanding the predictors of second dose measles vaccination (MCV2) is essential for designing effective interventions to prevent outbreaks and reduce child mortality in Somaliland, thereby informing targeted public health strategies and policy decisions. METHODS: A cross-sectional study was conducted using a national health survey of Somaliland. The study analyzed data from mothers regarding their children, selecting one child per household to ensure statistical independence. Binary and multivariate logistic regression models were applied to identify determinants of MCV2 coverage among 1417 eligible children. RESULTS: The sample prevalence of MCV2 coverage was low at 33.5%. Significant predictors included maternal age, region, and prior receipt of DPT and BCG vaccinations. The adjusted odds ratio (AOR) MCV2 were higher among children of older mothers compared to those aged 15-19, specifically those aged 40-44 (AOR = 4.30; 95% confidence interval [CI]: 1.84-10.04) and 45-49 (AOR = 5.31; 95% CI: 1.55-18.16). Prior vaccination with DPT (AOR = 3.87; 95% CI: 2.92-5.15) and BCG (AOR = 2.47; 95% CI: 1.86-3.29) were also powerful predictors of MCV2 completion. Urban residence and maternal education were not significantly associated with coverage in the final adjusted model. CONCLUSION: The findings highlight the importance of maternal experience and the strength of the routine immunization system. Addressing systemic barriers through targeted interventions may encourage stakeholders to strengthen routine immunization programs, especially by utilizing prior healthcare contacts like DPT/BCG visits to potentially improve MCV2 follow-up.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。