Evidence map›Paper›PMID 42518305›Full record

ArticleHuman vaccines & immunotherapeutics2026

Determinants of seasonal influenza and COVID-19 vaccine uptake in high-risk individuals in northern Sweden.

Lucas Grape, Wilma Persson, Adam Sergejev, Simon Vihtari Hansson, Lina Gyllencreutz, Henrik Togstad, Johan Normark, Urban Johansson Kostenniemi

Abstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 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

What it found

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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

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Lucas GrapeDepartment of Clinical Microbiology, Umeå University, Umeå, Sweden.
Wilma PerssonDepartment of Clinical Microbiology, Umeå University, Umeå, Sweden.
Adam SergejevDepartment of Clinical Microbiology, Umeå University, Umeå, Sweden.
Simon Vihtari HanssonDepartment of Clinical Microbiology, Umeå University, Umeå, Sweden.
Lina GyllencreutzDepartment of Nursing, Umeå University, Umeå, Sweden.
Henrik TogstadDepartment of Emergency Medicine, University Hospital of Umeå, Umeå, Sweden.
Johan NormarkDepartment of Clinical Microbiology, Umeå University, Umeå, Sweden.
Urban Johansson KostenniemiDepartment of Clinical Microbiology, Umeå University, Umeå, Sweden.ORCID 0000-0001-9885-2321

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seasonal influenza and COVID-19 vaccination in high-risk individuals prevent disease, disability, and death. Nevertheless, many high-income countries continue to experience suboptimal vaccine coverage. We therefore aimed to identify the remaining vaccination barriers in these settings. We recruited patients seeking emergency department care at a hospital in northern Sweden. Using semi-structured interviews and medical records, we collected high-resolution individual-level data, and linked community-level determinants from national registers. Logistic regression was used to calculate odds ratios (OR) and adjusted odds ratios (aOR) for determinants associated with influenza and COVID-19 vaccination. We included 600 patients of whom 450 were eligible for both vaccines. Coverage among eligible individuals was 52.0% for influenza and 54.2% for COVID-19. Co-administration of both vaccines was high (OR 55.33, 95% CI: 30.86-99.22). Individual-level determinants associated with lower vaccine uptake included male biological sex (aOR: 0.57, 95% CI: 0.37-0.88, younger age (aOR: 0.50, 95% CI: 0.41-0.61), smoking (aOR: 0.43, 95% CI: 0.18-1.02), reduced independence (aOR: 0.59, 95% CI: 0.31-1.10), and age-only eligibility (aOR 0.41, 95% CI: 0.19-0.86). In multimorbid individuals, meeting more eligibility criteria showed no significant association with higher uptake (aOR: 1.14, 95% CI: 0.93-1.39). Finally, we noted only limited influence of community-level determinants. In conclusion, vaccine uptake for influenza and COVID-19 was primarily associated with individual-level determinants, whereas community-level showed little impact. Targeted communication, such as risk-stacking to improve risk-awareness, harmonized eligibility criteria, and co-administration, may help overcome remaining vaccination barriers in high-risk individuals.

Indexed as

COVID-19COVID-19 VaccinesInfluenza, HumanInfluenza VaccinesVaccinationVaccination CoverageAdolescentAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedSeasonsSwedenCOVID-19 VaccinesInfluenza VaccinesCOVID-19 vaccineshealth knowledge, attitudes, practiceinfluenza vaccinespatient acceptance of health carerisk factorsVaccination

Identifiers

PMID42518305
PMCPMC13418703

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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.