Evidence map›Paper›PMID 41931508›Full record

ArticlePloS one2026

Factors associated with COVID-19 vaccination schedule completion among adults in high-social-vulnerability neighborhoods in two Brazilian state capitals: A cross-sectional study.

Fernanda Martins Iunes, Thaís Aranha Rossi, Fabiane Soares, Thiago S Torres, Valdilea G Veloso, Débora Castanheira, Nathalia Suzart, Felipe Fagundes Soares, Alexandro Gesner Gomes Dos Santos, Diana Zeballos and 2 more

Abstract read
In one paragraph

Article in PloS one, 2026. 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
–field-weighted citation impact
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

12 authors.

Fernanda Martins IunesDepartamento de Ciências da Vida, Universidade do Estado da Bahia, Salvador, Bahia, Brazil.
Thaís Aranha RossiDepartamento de Ciências da Vida, Universidade do Estado da Bahia, Salvador, Bahia, Brazil.
Fabiane SoaresInstituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Bahia, Brazil.
Thiago S TorresFundação Oswaldo Cruz, Instituto Nacional de Infectologia Evandro Chagas, Rio de Janeiro, Brazil.
Valdilea G VelosoFundação Oswaldo Cruz, Instituto Nacional de Infectologia Evandro Chagas, Rio de Janeiro, Brazil.
Débora CastanheiraFundação Oswaldo Cruz, Instituto Nacional de Infectologia Evandro Chagas, Rio de Janeiro, Brazil.
Nathalia SuzartDepartamento de Ciências da Vida, Universidade do Estado da Bahia, Salvador, Bahia, Brazil.
Felipe Fagundes SoaresPrefeitura Municipal de Salvador, Secretaria Municipal de Saúde, Salvador, Bahia, Brazil.
Alexandro Gesner Gomes Dos SantosPrefeitura Municipal de Salvador, Secretaria Municipal de Saúde, Salvador, Bahia, Brazil.ORCID https://orcid.org/0000-0002-7059-7696
Diana ZeballosInstituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Bahia, Brazil.
Ines DouradoInstituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Bahia, Brazil.
Laio MagnoDepartamento de Ciências da Vida, Universidade do Estado da Bahia, Salvador, Bahia, Brazil.ORCID https://orcid.org/0000-0003-3752-0782

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to examine the factors associated with Coronavirus disease 2019 (COVID-19) vaccination schedule completion among adults in socially vulnerable neighborhoods in two Brazilian state capitals. This cross-sectional study analyzed the data of individuals who attended primary healthcare (PHC) units in Salvador and Rio de Janeiro between July 2022 and May 2023. Data were collected using a structured sociobehavioral questionnaire. The outcome variable was COVID-19 vaccination schedule completion, defined as receiving ≥1 booster dose in the primary series (i.e., first and/or second dose or single-dose vaccine) plus one booster dose. The association between predictor variables and vaccination schedule completion was evaluated using multiple logistic regression. A total of 7,193 participants who reported having received ≥1 dose was included, 79.35% had completed the vaccination schedule. Participants aged >50 years (odds ratio [OR]=3.83; 95% confidence interval [CI]: 3.11-4.70), and cisgender women (OR=1.38; 95%CI: 1.20-1.57) and those with higher or graduate education (OR=2.44; 95%CI: 1.99-2.99), ≥ 2 comorbidities (OR=2.14; 95%CI: 1.56-2.92), mixed public and private healthcare use (OR=1.56; 95%CI: 1.30-1.89), a medical consultation in the last 12 months (OR=1.60; 95%CI: 1.38-1.85), and those who sought care at a primary health care unit in the last 12 months (OR=1.20; 95%CI: 1.03-1.41) had a higher odds of adherence to the scheduled vaccination than their respective counterparts. Conversely, individuals of Evangelical belief (OR=0.63; 95%CI: 0.56-0.72) and individuals residing in households with high occupancy density (OR=0.69; 95%CI: 0.57-0.82) showed lower vaccination completion than their respective counterparts. This study demonstrated that sociodemographic and healthcare-related factors play a pivotal role in supporting COVID-19 vaccination adherence, contributing to higher coverage rates and reducing inequalities in vaccine access. Active outreach to unvaccinated individuals and strengthening primary healthcare are essential for increasing vaccination coverage and mitigating inequalities in access to health services.

Indexed as

COVID-19 VaccinesImmunization ScheduleNeighborhood CharacteristicsVaccinationVulnerable PopulationsAdultBrazilCOVID-19Cross-Sectional StudiesFemaleHumansMaleMiddle AgedPrimary Health CareSARS-CoV-2Social Determinants of HealthCOVID-19 Vaccines

Identifiers

PMID41931508
PMCPMC13048420

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.