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.

IF 2.3 2区 农林科学 Q3 INFECTIOUS DISEASES
Zoonoses and Public Health Pub Date : 2026-06-01 Epub Date: 2026-03-19 DOI:10.1111/zph.70051
Solveig Jore, Ragnhild Tønnessen, Carl Andreas Grøntvedt, Kjersti Rydland, Anna Germundsson Hauge, Olav Hungnes, Anja Bråthen Kristoffersen, Even Fossum
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引用次数: 0

Abstract

Introduction: Swine 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.

Methods: We 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.

Results: The 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.

Conclusions: Our 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.

一项回顾性横断面研究(2009-2023):探索甲型H1N1流感pdm09抗体在人和猪中的时间序列以及疫苗在两个目标群体中的覆盖率。
猪可能作为“流行病学桥梁”和水库出现的新型人畜共患流感病毒具有大流行的潜力。虽然甲型流感病毒在猪-人界面的双向交换已得到充分认识,但关于种间传播程度的数据有限。方法:我们分析了2009/2010-2022/2023年挪威每个县甲型H1N1流感pdm09抗体的季节性后几何平均滴度(GMT)和未接种疫苗的猪中甲型H1N1流感pdm09抗体的季节性流行率,以寻找种间传播的证据。我们探索了国家和个别县层面的相关性,并通过运行负二项回归模型调查了可能的关联。此外,我们向兽医和养猪农民分发了流感疫苗接种问卷,以评估疫苗接种情况,并计算每个县和总体的总应答率。结果:人猪H1N1pdm09抗体的时间序列在各郡(Pearson相关系数为0.8)和个别郡内均呈显著正相关,其中因兰det郡(0.9)、Vestland郡(0.8)和Rogaland郡(0.7)的相关性特别高。我们的回归分析显示,人H1N1pdm09抗体的年度GMT、猪H1N1pdm09抗体的年度血清流行率和县养猪场密度之间存在显著正相关。农民和兽医的疫苗接种率分别为39%和50%。结论:我们的发现表明人类和猪之间的疾病存在时间关系;提示溢出效应、促进疾病传播的环境因素和/或由未知因素驱动的间接关系。影响:H1N1pdm09抗体在人和猪身上的时间序列显示出显著的相关性。回归分析将人体内H1N1pdm09抗体的GMT与猪体内H1N1pdm09的血清流行率和养猪场密度联系起来。这表明一种可能由于溢出、共同风险因素或由未知因素驱动的间接关系而产生的时间关系。流感疫苗接种调查显示农民接种率为39%,猪兽医接种率为50%。
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来源期刊
Zoonoses and Public Health
Zoonoses and Public Health 医学-传染病学
CiteScore
5.30
自引率
4.20%
发文量
115
审稿时长
6-12 weeks
期刊介绍: Zoonoses and Public Health brings together veterinary and human health researchers and policy-makers by providing a venue for publishing integrated and global approaches to zoonoses and public health. The Editors will consider papers that focus on timely collaborative and multi-disciplinary research in zoonoses and public health. This journal provides rapid publication of original papers, reviews, and potential discussion papers embracing this collaborative spirit. Papers should advance the scientific knowledge of the sources, transmission, prevention and control of zoonoses and be authored by scientists with expertise in areas such as microbiology, virology, parasitology and epidemiology. Articles that incorporate recent data into new methods, applications, or approaches (e.g. statistical modeling) which enhance public health are strongly encouraged.
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