Evidence map›Paper›PMID 35891163›Full record

ArticleVaccines2022

COVID-19 Vaccine Uptake among US Adults According to Standard Occupational Groups.

Itunu Sokale, Juan Alvarez, Omar Rosales, Eric Bakota, Christopher I Amos, Hoda Badr, Abiodun O Oluyomi

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 32% of its field
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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
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

7 authors at 2 institutions in 1 country.

Itunu SokaleDepartment of Medicine, Epidemiology and Population Sciences Section, Baylor College of Medicine, Houston, TX 77030, USA.
Juan AlvarezDepartment of Medicine, Epidemiology and Population Sciences Section, Baylor College of Medicine, Houston, TX 77030, USA.
Omar RosalesDepartment of Medicine, Epidemiology and Population Sciences Section, Baylor College of Medicine, Houston, TX 77030, USA.ORCID 0000-0002-7045-6447
Eric BakotaOffice of Science, Surveillance, and Technology, Harris County Public Health, Houston, TX 77030, USA.
Christopher I AmosDepartment of Medicine, Epidemiology and Population Sciences Section, Baylor College of Medicine, Houston, TX 77030, USA.
Hoda BadrDepartment of Medicine, Epidemiology and Population Sciences Section, Baylor College of Medicine, Houston, TX 77030, USA.ORCID 0000-0002-4549-9111
Abiodun O OluyomiDepartment of Medicine, Epidemiology and Population Sciences Section, Baylor College of Medicine, Houston, TX 77030, USA.ORCID 0000-0002-6603-6941
Baylor College of Medicine · USHarris Health System · US

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI DAVID R ROWLEY · 2007 to 2026
$73.9M
Translational Research Support CoreP30ES030285 · NIEHS · BAYLOR COLLEGE OF MEDICINE · PI Cheryl L. Walker · 2019 to 2026
$14.7M
NCI NIH HHS P30 CA125123NIEHS NIH HHS P30 ES030285
6 · The paper itself

Abstract

This cross-sectional ecological study examined the relationship between neighborhood-level standard occupational groups in the USA and COVID-19 vaccine uptake using 774 census tract data, each consisting of approximately 1600 housing units. The neighborhood-level COVID-19 vaccination uptake data were retrieved from Harris County Public Health, Harris County, Texas. The standard occupational group data were from the US Census Bureau. We calculated the incidence rate ratios (IRRs) for vaccine uptake using bivariate and multivariable Poisson regression models. In the adjusted models, we found that the healthcare practitioner/technician (IRR: 1.008; 95% CI: 1.003−1.014; p = 0.001), business/management/legal (IRR: 1.011; 95% CI: 1.008−1.013; p < 0.001), computer/engineering/life/physical/social science (IRR: 1.018; 95% CI: 1.013−1.023; p < 0.001), and arts/design/entertainment/sports/media (IRR: 1.031; 95% CI: 1.018−1.044; p < 0.001) occupational groups were more likely to have received the full regimen of a COVID-19 vaccine. On the contrary, the building/installation/maintenance/repair (IRR: 0.991; 95% CI: 0.987−0.995; p < 0.001), construction/extraction/production (IRR: 0.991; 95% CI: 0.988−0.995; p < 0.001), transportation/material moving (IRR: 0.992; 95% CI: 0.987−0.997; p = 0.002), food preparation/serving related (IRR: 0.995; 95% CI: 0.990−0.999; p = 0.023), and personal care/services (IRR: 0.991; 95% CI: 0.985−0.998; p = 0.017) groups were less likely to have received the complete dose of a COVID-19 vaccine. White-collar workers were more likely to be vaccinated than blue-collar workers. We adjusted for age, sex, and race/ethnicity in the multivariable analysis. The low vaccine uptake among certain occupational groups remains a barrier to pandemic control. Engaging labor-centered stakeholders in the development of vaccination interventions may increase uptake.

Indexed as

census tractCOVID-19 vaccineneighborhoodoccupationworkplace

Identifiers

PMID35891163
PMCPMC9319436
OpenAlexW4283313214

What OpenQuestion 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 OpenQuestion graph.