Evidence map›Paper›PMID 41857313›Full record

ArticleZoonoses and public health2026

A Retrospective Cross-Sectional Study (2009-2023): Exploring Influenza A(H1N1)pdm09 Antibody Time Series in Humans and Swine and Vaccine Coverage in Two Target Groups.

Solveig Jore, Ragnhild Tønnessen, Carl Andreas Grøntvedt, Kjersti Rydland, Anna Germundsson Hauge, Olav Hungnes, Anja Bråthen Kristoffersen, Even Fossum

Abstract read
In one paragraph

Article in Zoonoses and public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Solveig JoreSection of Zoonotic & Waterborne Infections, Department of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway.ORCID https://orcid.org/0000-0001-8527-4892
Ragnhild TønnessenNorwegian Veterinary Institute, Ås, Norway.ORCID https://orcid.org/0000-0003-2671-0089
Carl Andreas GrøntvedtNorwegian Veterinary Institute, Ås, Norway.ORCID https://orcid.org/0000-0001-6731-4387
Kjersti RydlandSection of Respiratory, Bloodborne and Sexually Transmitted Infections, Department of Infection Control and Vaccine, Norwegian Institute of Public Health, Oslo, Norway.ORCID https://orcid.org/0000-0001-7834-6405
Anna Germundsson HaugeNorwegian Veterinary Institute, Ås, Norway.ORCID https://orcid.org/0009-0008-9441-4736
Olav HungnesDepartment of Virology, Norwegian Institute of Public Health, Oslo, Norway.ORCID https://orcid.org/0000-0003-1532-0130
Anja Bråthen KristoffersenDepartment of Method Development and Analytics, Norwegian Institute of Public Health, Oslo, Norway.ORCID https://orcid.org/0000-0003-2313-9622
Even FossumDepartment of Virology, Norwegian Institute of Public Health, Oslo, Norway.ORCID https://orcid.org/0000-0001-7064-0327

Funding

European Commission: EU grant number 101102070Norwegian Food Safety Authority
6 · The paper itself

Abstract

introductionSwine may act as 'epidemiological bridges' and reservoirs for the emergence of novel zoonotic influenza viruses with pandemic potential. While bidirectional exchange of influenza A viruses at the swine-human interface is well recognised, data on the extent of interspecies transmission are limited.

methodsWe analysed the post-seasonal geometric mean titre (GMT) of influenza A(H1N1)pdm09 antibodies in humans and the seasonal prevalence of influenza A(H1N1)pdm09 antibodies in unvaccinated swine from 2009/2010-2022/2023 per county in Norway to search for evidence of interspecies transmission. We explored correlations at the national and individual county level and investigated possible associations by running a negative binomial regression model. Additionally, we distributed an influenza vaccination questionnaire to veterinarians and farmers working with swine to assess vaccination uptake and calculated total response rates per county and overall.

resultsThe time series of H1N1pdm09 antibodies from humans and swine show significant positive correlations both across (0.8 Pearson correlation coefficient) and within certain individual counties, with especially high correlations in Innlandet (0.9), Vestland (0.8) and Rogaland (0.7) Counties. Our regression analysis revealed a significant positive association between the annual GMT of H1N1pdm09 antibodies in humans, the annual seroprevalence of H1N1pdm09 antibodies in swine, and the density of swine farms in counties. Vaccination uptake was 39% and 50% in farmers and veterinarians, respectively.

conclusionsOur findings indicate a temporal relationship between the disease in humans and swine; suggesting spillover, environmental factors facilitating disease spread, and/or indirect relationships driven by unknown factors. IMPACTS: The time series of H1N1pdm09 antibodies in humans and swine shows significant correlations. Regression analysis links GMT of H1N1pdm09 antibodies in humans to seroprevalence of H1N1pdm09 in swine and density of swine farms. This indicates a temporal relationship possibly due to spillover, shared risk factors or indirect relationships driven by unknown factors. The influenza vaccination survey showed a 39% uptake among farmers and 50% among swine veterinarians.

Indexed as

Antibodies, ViralInfluenza A Virus, H1N1 SubtypeInfluenza, HumanInfluenza VaccinesOrthomyxoviridae InfectionsSwine DiseasesAnimalsCross-Sectional StudiesHumansNorwayRetrospective StudiesSeroepidemiologic StudiesSwineAntibodies, ViralInfluenza Vaccinesgeometric mean titreH1N1pdm09Norwayseroprevalenceswine influenzavaccine coverage

Identifiers

PMID41857313
PMCPMC13144438

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.