Evidence map›Paper›PMID 40591528›Full record

ArticleJMIR public health and surveillance2025

Influenza Vaccination Coverage and Determinants of New Vaccinations During the COVID-19 Pandemic in Spain (ENE-COVID): Nationwide Population-Based Study.

Miguel Ángel de la Cámara, Nerea Fernández de Larrea-Baz, Roberto Pastor-Barriuso, Amparo Larrauri, Pablo Fernández-Navarro, Marina Pollán, Beatriz Pérez-Gómez, ENE-COVID Study Group

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

8 authors.

Miguel Ángel de la Cámara *National Centre for Epidemiology, Instituto de Salud Carlos III, Monforte de Lemos, 5, Madrid, Spain, 34 918222862.ORCID http://orcid.org/0000-0003-0015-7350
Nerea Fernández de Larrea-Baz *National Centre for Epidemiology, Instituto de Salud Carlos III, Monforte de Lemos, 5, Madrid, Spain, 34 918222862.ORCID http://orcid.org/0000-0002-8840-0134
Roberto Pastor-BarriusoNational Centre for Epidemiology, Instituto de Salud Carlos III, Monforte de Lemos, 5, Madrid, Spain, 34 918222862.ORCID http://orcid.org/0000-0002-7325-3960
Amparo LarrauriNational Centre for Epidemiology, Instituto de Salud Carlos III, Monforte de Lemos, 5, Madrid, Spain, 34 918222862.ORCID http://orcid.org/0000-0002-1704-2245
Pablo Fernández-NavarroNational Centre for Epidemiology, Instituto de Salud Carlos III, Monforte de Lemos, 5, Madrid, Spain, 34 918222862.ORCID http://orcid.org/0000-0001-9427-2581
Marina Pollán *National Centre for Epidemiology, Instituto de Salud Carlos III, Monforte de Lemos, 5, Madrid, Spain, 34 918222862.ORCID http://orcid.org/0000-0002-4328-1565
Beatriz Pérez-Gómez *National Centre for Epidemiology, Instituto de Salud Carlos III, Monforte de Lemos, 5, Madrid, Spain, 34 918222862.ORCID http://orcid.org/0000-0002-4299-8214
ENE-COVID Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Influenza vaccination coverage is commonly suboptimal. However, the COVID-19 pandemic and consequent high exposure to health information may have changed population attitudes toward this vaccination. Objective: The aim of this study is to describe influenza vaccine uptake in Spain during the first influenza season following the start of the COVID-19 pandemic compared to the previous one and identify characteristics associated with vaccination among those previously unvaccinated. Methods: This was a population-based study of 28,987 adults included in influenza vaccination target groups (≥65 years old, with risk conditions, living with someone with risk conditions, health care workers, security or emergency workers) who were participants in the nationwide Seroepidemiological Survey of SARS-CoV-2 Infection in Spain (ENE-COVID) study. Information on vaccination and sociodemographic, health, and COVID-19-related factors was collected by interview. Coverage change from 2019 to 2020 and standardized prevalences of vaccination in 2020 among the population unvaccinated in 2019 were estimated using logistic model-based methods. Results: Coverage rose from 31.4% (95% CI 30.5%-32.2%) to 46.8% (95% CI 45.8%-47.8%). People ≥65 years old showed the highest uptake in both periods (58.3%, 95% CI 56.8%-59.8% and 74.8%, 95% CI 73.5%-76.1%), while health care workers had the greatest increase (22%, 95% CI 17.8%-26.2%). Among people unvaccinated in 2019, factors associated with vaccination in 2020 were age, female sex, higher education, Spanish nationality, multimorbidity, being a former smoker, obesity, contact with COVID-19 cases, living with older adults, living in provinces with low COVID-19 incidence, wearing a face mask during family meetings, and using surgical/FFP2 masks. Conclusions: This study provides nationwide representative estimates of influenza vaccination coverage, which clearly increased between 2019 and 2020 in the 5 target groups. However, coverage goals were attained only in the ≥65 year old group, highlighting the importance of reinforcing influenza vaccination. Our detailed results on determinants of vaccination provide some clues to tailor vaccination strategies.

Indexed as

COVID-19Influenza, HumanInfluenza VaccinesVaccinationVaccination CoverageAdultAgedFemaleHumansMaleMiddle AgedPandemicsSpainInfluenza VaccinesadultCOVID-19 pandemicENE-COVIDepidemiologyhealth informationinfection preventioninfluenzainfluenza preventioninfluenza vaccinationinfluenza vaccinepopulation-based studypublic healthsociodemographicSpainvaccinationvaccination coveragevaccination determinants

Identifiers

PMID40591528
PMCPMC12236637

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.