Evidence map›Paper›PMID 42124941›Full record

ArticleBMJ public health2026

Bayesian spatial analysis of child vaccination coverage and associated determinants in Tanzania.

Twahil Hemed Shakiru, Elevatus Nkebukwa Mukyanuzi, Daniel Stephen Kinyota

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Article in BMJ public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Twahil Hemed ShakiruStatistics, University of Dar es Salaam, Dar es Salaam, Tanzania, United Republic of.ORCID 0000-0002-7176-9074
Elevatus Nkebukwa MukyanuziStatistics, University of Dar es Salaam, Dar es Salaam, Tanzania, United Republic of.
Daniel Stephen KinyotaStatistics, University of Dar es Salaam, Dar es Salaam, Tanzania, United Republic of.ORCID 0009-0002-1957-324X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Childhood immunisation is one of the most effective public health interventions, significantly reducing morbidity and mortality from vaccine-preventable diseases. Despite global efforts, many low-income and middle-income countries, including Tanzania, face challenges in achieving high vaccination coverage. This study examined the spatial distribution and determinants of full vaccination coverage among children aged 12-23 months in Tanzania. Methods: A cross-sectional design was applied using 2022 Tanzania Demographic and Health Survey-Malaria Indicator Survey data, including 2143 children aged 12-23 months. Spatial dependence was analysed with Moran's I and Local Indicators of Spatial Association to detect clustering. A Bayesian spatial hierarchical logistic regression, specified with the Besag-York-Mollié model and fitted via Integrated Nested Laplace Approximation, assessed individual and community-level determinants of vaccination coverage. Results: The findings showed that only 54.6% of children were fully vaccinated, which is below the national target and the 90% threshold recommended by the World Health Organization (WHO). Maternal education, antenatal care (ANC) attendance and household wealth were significant predictors of full vaccination. Children of mothers with higher education had higher odds of being fully vaccinated (OR=3.78; 95% CI 1.38 to 12.2), and those whose mothers attended four or more ANC visits were more likely to be fully vaccinated (OR=1.24; 95% CI 0.97 to 1.59). Children from middle-income households also had increased odds (OR=1.39; 95% CI 1.04 to 1.85). Maternal age and place of delivery were not statistically significant. Spatial analysis revealed significant geographic clustering of vaccination coverage (Global Moran's I=0.229, p=0.028), with high-coverage clusters in Kusini Unguja, Kigoma, Mara and Njombe, and low-coverage clusters in Songwe, Rukwa and Shinyanga. Conclusions: The study highlights the importance of enhancing maternal education, strengthening ANC counselling, reducing financial and access barriers and implementing region-specific interventions to improve childhood immunisation coverage and reduce inequalities across Tanzania.

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Community HealthCommunity Health PlanningVaccination

Identifiers

PMID42124941
PMCPMC13158607

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.