Evidence map›Paper›PMID 41457268›Full record

ArticleInternational journal of health geographics2025

Understanding socioeconomic inequalities in COVID-19 vaccination: controlling endogenous selection in Cali, Colombia.

Manuel A Moreno, Francisco J Rodríguez-Cortés, Marc Saez, Maria A Barceló

Abstract read
In one paragraph

Article in International journal of health geographics, 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
–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

4 authors.

Manuel A MorenoResearch Group on Statistics, Econometrics and Health (GRECS) , University of Girona , Girona , Spain.
Francisco J Rodríguez-CortésDepartamento de Estadística , Universidad Nacional de Colombia , Medellín, Colombia.
Marc SaezResearch Group on Statistics, Econometrics and Health (GRECS) , University of Girona , Girona , Spain.
Maria A BarcelóResearch Group on Statistics, Econometrics and Health (GRECS) , University of Girona , Girona , Spain. antonia.barcelo@udg.edu.

Funding

AGAUR, Government of Catalonia Call for Industrial Doctorates 2021 (DI 2021)AGAUR, Government of Catalonia Consolidated research group 'Compositional and Spatial Data Analysis (COSDA)' 2021 SGR 01197HERMES projects, Grant/Award Number: 612113 Universidad Nacional de Colombia
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic displayed notable disparities in infection and mortality rates across populations, yet socioeconomic factors remain underexplored in many analyses. This study leverages an individual-level dataset from Cali, Colombia, detailing COVID-19 cases, vaccination histories, and mortality outcomes, to examine spatiotemporal vaccination patterns and their effects on mortality.

methodsUsing a Bayesian two-part model with generalized linear mixed models, the analysis accounts for endogenous selection, individual heterogeneity, and spatial-temporal dependencies.

resultsThe findings highlight significant socioeconomic inequalities in vaccination coverage: individuals from higher socioeconomic strata were more likely to receive full vaccination regimens and booster doses, while those from lower strata faced reduced vaccination coverage and elevated mortality risks. Employment, socioeconomic status, and ethnicity emerged as key predictors of vaccination propensity and mortality, disproportionately disadvantaging vulnerable groups.

conclusionsThese results stress the need for equitable vaccine distribution and targeted interventions to address disparities and enhance public health outcomes.

Indexed as

COVID-19COVID-19 VaccinesHealthcare DisparitiesVaccinationVaccination CoverageAdolescentAdultAgedColombiaFemaleHumansMaleMiddle AgedSARS-CoV-2Socioeconomic FactorsYoung AdultCOVID-19 VaccinesBayesian modelCOVID-19 pandemicEndogenous selectionSpatiotemporal analysisVaccine

Identifiers

PMID41457268
PMCPMC12860044

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.