Evidence map›Paper›PMID 40657298›Full record

ArticleHealth science reports2025

COVID-19 Vaccine Uptake and Socioeconomic Disparities in Tanzania: A Population-Based Cross-Sectional Study Amid High Hesitancy.

Deogratius Bintabara, Gabriel Mchonde

Abstract read
In one paragraph

Article in Health science reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Deogratius BintabaraDepartment of Community Medicine The University of Dodoma Dodoma Tanzania.ORCID https://orcid.org/0000-0001-7877-870X
Gabriel MchondeDepartment of Anatomy and Histology, School of Medicine and Dentistry The University of Dodoma Dodoma Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Socioeconomic disparities in healthcare access, including vaccination services, persist worldwide. The COVID-19 pandemic amplified these disparities, particularly in low-resource settings such as Tanzania, where vaccine hesitancy remains a significant challenge. Understanding these disparities is crucial for achieving equitable vaccine coverage. This study assessed regional variations in socioeconomic disparities in COVID-19 vaccine uptake in Tanzania, with education used as a proxy for socioeconomic status. The findings aim to guide targeted interventions for populations facing greater disadvantages. Methods: A population-based cross-sectional survey was conducted between June and July 2022, involving 22,910 adults from urban areas in Mwanza, Iringa, Arusha, and Morogoro regions. Participants were selected using cluster sampling. Vaccine uptake, defined as receiving any complete dose of the COVID-19 vaccine, was the primary outcome. Disparities were analyzed using concentration curves and indices, while multivariable logistic regression identified factors contributing to these disparities. Results: Of the respondents, approximately 20% were fully vaccinated. Significant educational disparities favoring the educated were observed, with the most pronounced gaps in Mwanza (CI: 0.093, Conclusions: This study highlights the need to address regional and socioeconomic disparities in COVID-19 vaccine uptake in Tanzania. Tailored policies that consider education levels, employment type, and community perceptions are essential to improving vaccine coverage. Efforts must focus on reducing hesitancy and promoting equitable access, particularly among disadvantaged groups.

Indexed as

COVID‐19 vaccineeducationregional disparitiessocioeconomic disparitiesTanzaniavaccine hesitancy

Identifiers

PMID40657298
PMCPMC12246958

What Socratic holds

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Registered trials

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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 Socratic graph.