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. 2025 Feb 20;30(7):2500102. doi: 10.2807/1560-7917.ES.2025.30.7.2500102

Interim 2024/25 influenza vaccine effectiveness: eight European studies, September 2024 to January 2025

Angela MC Rose 1,2,3, Héloïse Lucaccioni 1,2, Kimberly Marsh 4, Freja Kirsebom 5, Heather Whitaker 5, Hanne-Dorthe Emborg 6, Amanda Bolt Botnen 7, Mark G O’Doherty 8, Francisco Pozo 9,10, Safraj Shahul Hameed 4, Nick Andrews 5, Mark Hamilton 4, Ramona Trebbien 7, Karina Lauenborg Møller 11, Diogo FP Marques 1, Siobhan Murphy 8, Ross McQueenie 4, Jamie Lopez-Bernal 5, Simon Cottrell 12, Magda Bucholc 8, Esther Kissling 1,3; European IVE group13; Members of the European IVE group, Anna Parys, Arne Witdouck, Benedicte Delaere, Benédicte Lissoir, Catherine Quoidbach, Catherine Sion, Claire Brugerolles, Deborah De Geyter, Dylan Lievens, Eva Bernaert, Eveline Van Honacker, Evelyn Petit, Francesco Genderini, François Dufrasne, Isabel Leroux-Roels, Katelijne Flore, Katty Renard, Koen Magerman, Laurane De Mot, Lucie Seyler, Marc Bourgeois, Marieke Bleyen, Marie-Pierre Parsy, Marijke Reynders, Marlies Blommen, Mathil Vandromme, Melanie Delvallee, Natasja Detillieu, Nathalie Bossuyt, Nicolas Dauby, Pascal De Waegemaeker, Pierre Struyven, Reinout Naesens, Sandra Koenig, Sarah Denayer, Sebastien Fierens, Siel Daelemans, Sigi Van Den Wijngaert, Silke Ternest, Stephanie Buylla, Sven Hanotaux, Veerle Penders, Xavier Holemans, Yinthe Dockx, Yves Lafort, Zvjezdana Lovrić Makarić, Goranka Petrović, Sanja Kurečić Filipović, Bernard Kaić, Vesna Višekruna Vučina, Ivan Mlinarić, Irena Tabain, Svjetlana Karabuva, Petra Tomaš Petrić, Rok Čivljak, Ivan Krešimir Lizatović, Borna Grgić, Elizabeta Dvorski, Nives Bubnjar, Mia Breški, Iva Pem Novosel, Jens Nielsen, Noémie Sève, Caroline Guerrisi, Thierry Blanchon, Titouan Launay, Alessandra Falchi, Shirley Masse, Leïla Renard, Marie Chazelle, Sylvie van der Werf, Vincent Enouf, Bruno Lina, Martine Valette, Anthony Nardone, Marlena Kaczmarek, Nathalie Nicolay, Sabrina Bacci, Ralf Duerrwald, Annika Erdwiens, Carolin Hackmann, Kristin Tolksdorf, Silke Buda, Ute Preuss, Marianne Wedde, Janine Reiche, Barbara Biere, Beatrix Oroszi, Gergő Túri, Viktória Velkey, Katalin Krisztalovics, Katalin Kristóf, Bánk Gábor Fenyves, Csaba Varga, Márta Knausz, Bernadett Burkali, István Zsolt, Melinda Kiss-Fekete, Zoltán Péterfi, Lisa Domegan, Róisín Duffy, Margaret Fitzgerald, Adele McKenna, Charlene Bennett, Ligita Jančorienė, Fausta Majauskaitė, Auksė Mickienė, Monika Kuliešė, Tanya Melillo, John-Paul Cauchi, Adam Meijer, Dirk Eggink, Mariëtte Hooiveld, Eline In ‘t Velt, Marit de Lange, Rianne van Gageldonk-Lafeber, Ana Paula Rodrigues, Ausenda Machado, João Santos, Verónica Gomez, Camila Henriques, Licínia Gomes, Miguel Lança, Daniela Dias, Nuno Verdasca, Raquel Guiomar, Mihaela Lazar, Odette Popovici, Esteban Pérez Morilla, Virtudes Gallardo García, Miriam García Vázquez, Inés Guiu Cañete, Mª Olga Hidalgo Pardo, María Torres Juan, Eva Rivas Wagner, Nieves López González-Coviella, M Ángeles Rafael de la Cruz López, Carmen Román Ortiz, Jacobo Mendioroz, Luca Basile, Ana Sofía Lameiras Azevedo, Paloma Botella Rocamora, María Cecilia Puerto Hernández, Marina Paula Martins Agostinho Simoes Fernandes, Olaia Pérez-Martínez, María-Dolores Chirlaque, Blanca Andreu Ivorra, Carmen Quiñones Rubio, Violeta Ramos, Ninoska Lopez, Daniel Castrillejo, Francisco Javier de la Vega-Olías, Marcos Lozano, Gloria Pérez-Gimeno, Susana Monge, Iván Martínez-Baz, Camino Trobajo Sanmartin, Jesús Castilla, Aitziber Echeverría, Nerea Egüés, Guillermo Ezpeleta, Ana Navascués, Leticia Armendáriz, Carmen Ezpeleta, Neus Latorre-Margalef, Dorina Ujvari, Julia Stowe, Alec Cobbold, Katja Hoschler, Beatrix Kele, Maria Zambon, Jim McMenamin, Chris Robertson, Jana Zitha, Catherine Moore, Panoraia Kalapotharakou, Tim Jones, Anastasia Couzens, Simon DeLusignan, Rosalind Goudie, Gavin Jamie, Elizabeth Button
PMCID: PMC11843620  PMID: 39980423

Abstract

The 2024/25 influenza season in Europe is currently characterised by co-circulation of influenza A(H1N1)pdm09, A(H3N2) and B/Victoria viruses, with influenza A(H1N1)pdm09 predominating. Interim vaccine effectiveness (VE) estimates from eight European studies (17 countries) indicate an all-age influenza A VE of 32–53% in primary care and 33–56% in hospital settings, with some signals of lower VE by subtype and higher VE against influenza B (≥ 58% across settings). Where feasible, influenza vaccination should be encouraged and other prevention measures strengthened.

Keywords: influenza, vaccine effectiveness, multicentre study, test-negative design, Europe


For the northern hemisphere, the World Health Organization (WHO) recommended the following 2024/25 influenza virus strains for egg-based vaccines: an A/Victoria/4897/2022 (H1N1)pdm09-like, an A/Thailand/8/2022 (H3N2)-like and a B/Austria/1359417/2021 (B/Victoria lineage)-like virus for trivalent vaccines. For cell culture- or recombinant-based vaccines, the WHO recommended inclusion of an A/Wisconsin/67/2022 (H1N1)pdm09-like and an A/Massachusetts/18/2022 (H3N2)-like virus, with the same influenza B virus component as for egg-based vaccines. For both egg- and non-egg-based vaccines, the WHO recommended inclusion of an additional B/Phuket/3073/2013 (B/Yamagata lineage)-like virus for quadrivalent vaccines [1].

European primary care and hospital-based studies to measure influenza vaccine effectiveness in 2024/25

We report interim results from five single- and three multi-country studies (17 countries), including both primary care and hospital settings, to help guide influenza prevention and control measures for the rest of the 2024/25 season and to inform preparation for the 2025/26 season.

The primary care (PC) studies were conducted in Denmark (DK-PC), the United Kingdom (UK) (UK-PC: four countries), and through the European Union (EU) Vaccine Effectiveness, Burden and Impact Studies (VEBIS) multi-country primary care network (EU-PC: eight of 10 countries contributing to the interim analysis). The hospital setting (H) studies were conducted in Denmark (DK-H), England (EN-H), Northern Ireland (NI-H), Scotland (SC-H), and through the EU VEBIS multi-country hospital network (EU-H: six of 10 countries contributing to the interim analysis) (Figure 1).

Figure 1.

European countries contributing resultsa for interim influenza vaccine effectiveness, influenza season 2024/25 (n = 17)

DK-H/DK-PC: Denmark hospital and primary care studies; EN-H: England hospital study; EU-H/EU-PC: European Union hospital-/primary care-based multi-country VEBIS studies; NI-H: Northern Ireland hospital study; SC-H: Scotland hospital study; UK-PC: United Kingdom primary care multi-country study; VEBIS: Vaccine Effectiveness, Burden and Impact Studies.

a Countries contributing to EU-H but not included in the analysis (as too few cases remained after applying exclusions and restrictions): Croatia, Hungary, Ireland, Portugal. Countries contributing to EU-PC but not included in the analysis: Romania, Sweden.

Figure 1

Study design and vaccine effectiveness analyses

The EU VEBIS project has been estimating influenza vaccine effectiveness (VE) through multicentre primary care and hospital studies since the 2022/23 influenza season. Before this, many VEBIS study sites (primary care and hospital) participated in the Influenza – Monitoring Vaccine Effectiveness in Europe (I-MOVE) network, measuring annual influenza VE from 2008/09 to 2021/22 [2,3]. The UK and Denmark were I-MOVE partners until 2021/22 and have estimated influenza VE in single-country studies since 2006 and 2009, respectively. We have jointly published interim season influenza VE results since 2017/18 [4]. All studies use the test-negative design [5], with methods previously described [69]. There are some differences in recruitment practice or collection of data by study; we summarise methods by study in Table 1.

Table 1. Summary of methods for the eight European interim influenza vaccine effectiveness studies, influenza season 2024/25 (n = 17 countries).

Study characteristics Study
DK-PC EU-PC UK-PC DK-H EN-H EU-H NI-H SC-H
Period 30 Sep 2024–
31 Jan 2025
4 Oct 2024–
14 Jan 2025
30 Sep 2024–
10 Jan 2025
30 Sep 2024–
31 Jan 2025
30 Sep 2024–
5 Jan 2025
15 Oct 2024–
17 Jan 2025
29 Sep 2024–
20 Jan 2025
1 Oct 2024–
21 Jan 2025
Setting Non-hospitalised patientsa Primary care Primary care Hospital Hospital Hospital Hospital Hospital
Location DK HR, FR, DE, HU, IE, NL, PT, ES EN, NI, SC, WA DK EN 74 hospitals in BE, DE, ES, LT, MT, RO NI SC
Design TND TND TND TND TND TND TND TND
Data source(s) Data linkage of Danish Microbiology Database, the Danish Vaccination Register and the Danish National Discharge Register Sentinel physicians and laboratories; in some sites data linkage to electronic health records Sentinel physicians and laboratories; in some sites data linkage to vaccine registries Data linkage of Danish Microbiology Database, the Danish Vaccination Register and the Danish National Discharge Register Data linkage of laboratory surveillance, the Immunisations Information System, and the Secondary Uses Service Hospital charts, vaccine registers, interviews with patients, laboratory records Linkage of vaccination status from the Northern Ireland Vaccine Management System, influenza tests from the regional laboratory surveillance system, and administrative admissions data from Health and Social Care information systems National patient-level dataset based on GP records, Electronic Communication of Surveillance in Scotland ECOSS (all virology testing national database), Rapid Preliminary Inpatient Data RAPID (Scottish hospital admissions data), National Records of Scotland NRS (death certification), National Clinical Data Store NCDS (vaccination events in Scotland)
Age groups of study population All ages ≥ 6 months ≥ 2 years All ages ≥ 2 years All ages Adults ≥ 18 years ≥ 2 years
Case definition for patient recruitment Sudden onset of symptoms with fever, myalgia and respiratory symptomsb EU ARIc
or
EU ILIc
ARI Sudden onset of symptoms with fever, myalgia and respiratory symptoms among hospitalised patients ARI-coded hospital visit with a swab taken 14 days before to 2 days after admission SARI (hospitalised person with fever cough, or shortness of breath) at admission or within 48 h after admission); some countries recruit those with fever or cough; some include those only with fever and cough Patients with a positive influenza test performed either up to 7 days before admission or up to 1 day after admission. Limited to emergency cared Patients with a positive influenza test 14 days before admission or within 48 h of admission. Limited to emergency cared
Selection of patients At practitioner's/ clinician's judgement Systematic At practitioner's/ clinician's judgement At practitioner's/ clinician's judgement Exhaustive Exhaustive (DE, LT, MT, RO, some hospitals in ES). Systematic (BE, ES; some hospitals in BE: exhaustive on either 1 or 2 days per week, depending on workload) Exhaustive (all patients who fit the case definition and are captured via the linkage of the named datasets) Exhaustive (all patients who fit the case definition above and are captured via the linkage of the named datasets)
Vaccine types used nationally or in the studye,f In the population: 50% QIV, 45% aQIV (offered to individuals ≥ 70 years), 5% QIV-HD (offered to individuals ≥ 65 years) In the study among controls: 48% QIV, 13% aQIV, 10% QIV-HD, 8% QIVc, 8% LAIV (trivalent and quadrivalent), 2% TIV, and 12% unknown In the study among controls: ages 2–17 years 90% LAIV, 5% QIVc, 5% unknown; ages 18–64 years 67% QIVc, 2% aQIV, 1% QIV, 0.2% QIV-HD, 29% unknown; ages ≥ 65 years 72% aQIV, 2% QIV-HD, 1% QIVc, 0.1% QIV, 25% unknown In the population: 50% QIV, 45% aQIV (offered to individuals ≥ 70 years), 5% QIV-HD (offered to individuals ≥ 65 years) In the study among controls: ages 2–17 years 80% LAIV, 13% QIVc, 6% unknown; ages 18–64 years 84% QIVc, 6% aQIV, 4% QIV, 1% QIV-HD, 6% unknown; ages ≥ 65 years 88% aQIV, 4% QIV-HD, 3% QIVc, 5% unknown In the study among controls: 45% QIV; 21% aQIV, 15% QIV-HD, 5% QIVc, 4% LAIV (trivalent and quadrivalent), 12% unknown In the study among controls: 26.5% QIVc, 73.5% aQIV 23% QIVc; 77% aQIV
Variables of adjustment Age group, sex, presence of chronic conditions, calendar time as month (Oct–Jan) or if possible, week Age (modelled as RCS, age group or linear term depending on analysis), sex, presence of chronic conditions, onset date (RCS) and study site Age group, sex, country, clinical risk status, calendar time as week (spline) Age group, sex, presence of chronic conditions, calendar time as month (Oct–Jan) or if possible, week Age group, region, clinical risk status, calendar time as week (spline) Age (modelled as RCS, age group or linear term depending on analysis), sex, presence of chronic conditions, time (onset date as RCS or month of swab as categorical term) and study site Age group, sex, month of the test, and Health and Social Care Trust Age (spline), sex, number of clinical risk groups (0,1,2,3,4, ≥ 5), time (days, spline), setting (community or hospital) and deprivation quintile (SIMD)

aQIV: adjuvanted QIV; ARI: acute respiratory infection; BE: Belgium; DE: Germany; DK: Denmark; DK-H: DK hospital study; DK-PC: DK primary care study; EN: England; EN-H: EN hospital study; ES: Spain; EU: European Union; EU-H: EU hospital multicentre VEBIS study; EU-PC: EU primary care multicentre VEBIS study; FR: France; GP: general practitioner; HR: Croatia; HU: Hungary; IE: Ireland; ILI: influenza-like illness; LAIV: live attenuated influenza vaccine; LT: Lithuania; LRI: lower respiratory infection; MT: Malta; NI: Northern Ireland; NL: Netherlands; PT: Portugal; QIV: quadrivalent inactivated influenza vaccine; QIVc: cell-based QIV; QIVe: egg-grown QIV; QIV-HD: QIV – high-dose; RCS: restricted cubic spline; RO: Romania; SARI: severe acute respiratory infection; SARS-CoV-2: severe acute respiratory syndrome coronavirus 2; SC: Scotland; SC-H: SC hospital study; SIMD: Scottish Index of Multiple Deprivation; SE: Sweden; TIV: trivalent inactivated influenza vaccine; TND: test-negative design; UK: United Kingdom; UK-PC: UK primary care multicentre study; VE: vaccine effectiveness; VEBIS: VE, Burden and Impact Studies; WA: Wales.

a Patients are seen by the GP, but also in emergency care.

b This is the case definition for patient recruitment by sentinel GPs within DK-PC who follow the EU-ILI case definition (sudden onset of symptoms, AND at least one of: fever > 38° C, feverishness, malaise, headache, myalgia, AND at least one of: cough, sore throat, shortness of breath).

c The EU-ARI definition is sudden onset of symptoms AND at least one of cough, sore throat, shortness of breath or coryza, AND a clinician’s judgement that the illness is due to an infection. The EU-ILI definition is sudden onset of symptoms AND at least one of: fever or feverishness, malaise, headache, myalgia AND at least one of: cough, sore throat, shortness of breath. Most EU-PC sites recruit according to the EU-ARI case definition, although there are some site-specific differences in ARI (and/or ILI) definitions for recruitment.

d All patients entering hospital via an emergency department who were tested for influenza were assumed to have had an ARI symptom.

e Vaccines were prepared from egg-grown vaccine viruses, non-adjuvanted and administered intramuscularly unless otherwise specified.

f Where indicated, vaccine coverage among controls was used as representative of the source population from which the cases arose.

Briefly, three of the multicentre studies (EU-H, EU-PC and UK-PC) used prospective patient recruitment, while five studies used electronic database linkage (DK-H, DK-PC, EN-H, NI-H, SC-H). Patients presenting with influenza-like illness (ILI) or acute respiratory infection (ARI) symptoms in the primary care studies had nasopharyngeal or combined oro-nasopharyngeal specimens (or saliva specimens, in France) collected. In EU-H, patients admitted with severe ARI (SARI) symptoms were swabbed. In EN-H, NI-H and SC-H, all patients entering hospital via an emergency department who were tested for influenza were assumed to have had at least one ARI symptom. In each study, either all or a systematic selection of patients were swabbed, or the physician’s discretion was used to select patients for swabbing.

For influenza virus detection, samples were tested by reverse transcription (RT)-PCR for type A and type B viruses, followed by type A subtyping or B lineage determination. We defined cases as patients whose tests were positive for any influenza virus (sub)type; controls were those testing RT-PCR-negative for all influenza viruses. Most studies recruited all children and adults, while some applied age restrictions (Table 1).

We defined vaccinated patients as those having had the 2024/25 influenza vaccine at least 14 days before symptom onset. Those vaccinated < 14 days before symptom onset, or with unknown vaccination date, were excluded.

Most study countries (six from EU-PC, three from EU-H, and Denmark) selected all or a random sample of influenza virus-positive specimens for haemagglutinin genome segment and/or whole genome sequencing. Sequencing was followed by phylogenetic analysis to determine clade distribution, with results provided for both studies in Denmark together (DK-PC and DK-H).

Statistical analysis

In each study, we calculated VE as 1 minus the adjusted ratio of the odds of vaccination in cases and controls, expressed as a percentage: VE = (1 − ORa) × 100. We used logistic regression to adjust for measured potential confounding variables (Table 1).

We estimated study-specific VE against any influenza, influenza A overall, and against influenza A(H1N1)pdm09, A(H3N2) and B. We performed sensitivity analyses using Firth’s method of penalised logistic regression (PLR) to assess small sample bias [10] for analyses with fewer than 10 cases or controls per parameter. We considered > 10% difference between the original and the PLR estimates as indicating small sample bias and do not show these estimates.

Virus characteristics

In this season, influenza A virus subtypes and influenza B co-circulated in Europe [11]. Influenza A(H1N1)pdm09 was the main subtype among all studies, ranging between 57% and 93% of influenza A subtypes (Figure 2). The proportion of influenza B cases varied considerably, from 2% in SC-H to 37% in EU-PC. Within the EU-PC and EU-H multicentre studies, the proportion of influenza B varied by country (data not shown).

Figure 2.

Proportion of influenza virus infections, eight European studies, interim influenza season 2024/25 (n = 27,170)a

DK-H: Denmark hospital study; DK-PC: Denmark primary care study; EN-H: England hospital study; EU: European Union; EU-H: EU hospital multicentre VEBIS study; EU-PC: EU primary care multicentre VEBIS study; PC: primary care; NI-H: Northern Ireland hospital study; SC-H: Scottish hospital study; UK-PC: United Kingdom multicentre primary care study; VEBIS: Vaccine Effectiveness, Burden and Impact Studies.

a Includes 15 influenza A and B co-infections in DK-PC, 13 in EN-H, seven in EU-PC, six in UK-PC; six influenza A(H1N1)pdm09 and A(H3N2) co-infections in UK-PC, one in DK-PC and one in DK-H; and one influenza A(H1N1)pdm09 and B co-infection in DK-PC.

Figure 2

Among genetically characterised influenza A(H1N1)pdm09 viruses, the majority (> 80%) belonged to the C.1.9 subclade of 5a.2a (Table 2). Most characterised influenza A(H3N2) viruses belonged to the J.2 subclade of 2a.3a.1. There was some genetic variation of influenza B viruses across studies, but all belonged to clade V1A.3a.2.

Table 2. Influenza viruses characterised by clade, amino acid substitutions and study site, five European studies, interim influenza season 2024/25 (n = 835)a .

Characterised viruses Clade Subclade DK-H/DK-PCb EU-H EU-PC UK-PC
n % n % n % n %
Influenza A(H1N1)pdm09 n = 564c n = 212c n = 712c n = 2,444c
A/Lisboa/188/2023 5a.2a C.1.9 76 83 13 NC 160 90 195 91
A/Michigan/62/2023 5a.2a C.1.8 0 0 0 0 0 0 0 0
A/Victoria/4897/2022 d 5a.2a.1 D 16 17 0 0 17 10 20 9
Total (n=497)e 92 100 13 NC 177 100 215 100
Influenza A(H3N2) n = 389c n = 66c n = 187c n = 292c
A/Thailand/8/2022 d 2a.3a.1 J 0 0 0 0 0 0 0 0
A/Sydney/856/2023 2a.3a.1 J.1 0 0 0 0 0 0 0 0
A/Croatia/10136RV/2023 2a.3a.1 J.2 20 31 4 NC 34 NC 31 NC
A/West Virginia/51/2024 2a.3a.1 J.2.1 41 63 1 NC 1 NC 2 NC
A/Lisboa/216/2023 2a.3a.1 J.2.2 4 6 0 0 3 NC 2 NC
A/France/IDF-IPP29542/2023 2a.3a.1 J.4 0 0 0 0 0 0 0 0
A/Finland/402/2023 2a.3a G.1.3.1 0 0 0 0 1 NC 1 NC
Total (n=145)e 65 100 5 NC 39 NC 36 NC
Influenza B/Victoria n = 721c n = 84c n = 639c n = 184c
B/Netherlands/10335/2023 V1A.3a.2 C.2 0 0 0 0 0 0 0 0
B/Moldova/2030521/2023 V1A.3a.2 C.3 0 0 0 0 0 0 1 NC
B/Stockholm/3/2022 V1A.3a.2 C.5 1 NC 0 0 0 0 1 NC
B/Catalonia/2279261NS/2023 V1A.3a.2 C.5.1 7 NC 2 NC 61 50 13 NC
B/Switzerland/329/2024 V1A.3a.2 C.5.6 9 NC 1 NC 29 24 9 NC
B/Guangxi-Beiliu/2298/2023 V1A.3a.2 C.5.7 11 NC 1 NC 33 27 8 NC
Total (n=187)e 28 NC 4 NC 123 100 32 NC

DK-H: Denmark hospital study; DK-PC: Denmark primary care study; EU-H: European Union hospital multicentre VEBIS study; EU-PC: European Union primary care multicentre VEBIS study; NC: not calculated (percentages not shown where denominators < 60); UK-PC: United Kingdom multicentre primary care study; VEBIS: Vaccine Effectiveness, Burden and Impact Studies.

a Genetic characterisation results not available from the England, Northern Ireland and Scotland hospital studies.

b DK-H and DK-PC samples are combined.

c n: total numbers of viruses (sub)typed.

d Strain included in the 2024/25 northern hemisphere influenza vaccine.

e Total: total number of (sub)typed viruses sequenced.

Vaccine effectiveness overall and against influenza A

In the primary care setting, VE for any influenza among all ages ranged from 40% to 53%, with lowest age-stratified VE among adults ≥ 65 years (null in EU-PC, 38% in UK-PC). In the hospital setting, the all-age any influenza VE was 34–52%. We append the detailed results for VE against influenza A in Supplementary Figure S1.

Vaccine effectiveness against influenza A(H1N1)pdm09

The VE against influenza A(H1N1)pdm09 ranged between 30% and 72% among all ages in primary care settings. Age-specific results were similar among 18–64-year-olds in EU-PC and UK-PC at 46–48%, but higher in DK-PC at 77% (Figure 3). Age-specific VE was lower among children and adults ≥ 65 years in UK-PC (42% for both age groups) and even lower in EU-PC (12% and −22%), although confidence limits were wide.

Figure 3.

Interim vaccine effectiveness overall, against influenza A subtypes and influenza B, by age and target group for vaccination and by study, eight European studies, influenza season 2024/25

CI: confidence interval; DK-H: Denmark hospital study; DK-PC: Denmark primary care study; EN-H: England hospital study; EU: European Union; EU-H: EU hospital multicentre VEBIS study; EU-PC: EU primary care multicentre VEBIS study; NI-H: Northern Ireland hospital study; SC-H: Scottish hospital study; UK-PC: United Kingdom multicentre primary care study; VE: vaccine effectiveness; VEBIS: VE, Burden and Impact Studies.

a Age-specific or target group-specific VE was not included for overall or (sub)type-specific VE in some study sites, where sample size did not allow estimation of VE. The definition of ‘all ages’ differs by study (Table 1), with patients ≥ 6 months-old in EU-PC, patients ≥ 2 years-old in UK-PC and EN-H, patients ≥ 18 years-old in NI-H and patients of all ages in DK-PC, DK-H, EU-H and SC-H.

b For details of adjustment variables, see Table 1.

c Estimates for DK-PC and DK-H are for any influenza A only, as numbers for influenza B were low.

d For EU-PC: those aged 0–17 years are from ≥ 6 months to 17 years.

e Groups targeted by seasonal influenza vaccination as defined locally in the studies and study sites.

f For EU-PC: three study sites with < 10 influenza A(H1N1)pdm09 cases were excluded from A(H1N1)pdm09 VE analysis (3 cases); three study sites with < 10 influenza A(H3N2) cases were dropped from A(H3N2) VE analysis (8 cases); two study sites with < 10 influenza B cases were not included in B VE analysis (8 cases). For EU-H: one study site with < 10 influenza A(H1N1)pdm09 cases was excluded from A(H1N1)pdm09 VE analysis (3 cases); four study sites with < 10 influenza A(H3N2) cases were dropped from A(H3N2) VE analysis (6 cases); five study sites with < 10 influenza B cases were not included in B VE analysis (19 cases).

g The A(H1N1)pdm09 5a.2a C.1.9-specific estimate for UK-PC includes England only.

Figure 3

In the hospital setting across studies, VE against influenza A(H1N1)pdm09 ranged between 46% and 53% among all ages. The VE was lower in adults ≥ 65 years (38–45%) than among children aged 2–17 years (52–61%) (Figure 3).

Most sequenced samples of influenza A(H1N1)pdm09 belonged to the 5a.2a clade which, although genetically different to the vaccine strain, was protective for about one-third of those vaccinated among all ages (Figure 3).

Vaccine effectiveness against influenza A(H3N2)

The VE against influenza A(H3N2) ranged between 29% and 47% among all ages in primary care settings (Figure 3), while VE in adults ranged between −13% and 34%, with higher VE among children (83% in UK-PC).

In the hospital setting, VE against influenza A(H3N2) ranged between 31% and 49% among all ages. The VE in adults ranged from 7% to 47% and in SC-H (the only study with a VE estimate in children for this setting), VE among those aged 2–17 years was negative, noting that numbers were low. In particular, in SC-H, the proportion of influenza A cases subtyped (677/5,304; 13%) was very small (and only 50/677 (7%) of those subtyped were influenza A(H3N2)). There is a potential for some bias towards subtyping of more severe cases in this study as in some health boards in Scotland, patients admitted to intensive care or high-dependency wards are more likely to have their samples subtyped.

Vaccine effectiveness against influenza B

The VE against influenza B was high across all studies, with all-age estimates ranging between 58% and 74% in primary care and 73–88% in hospital settings (Figure 3). Age-specific estimates were all ≥ 50%, except one (42%, among those ≥ 65 years in EN-H).

Discussion

The influenza epidemic is ongoing in Europe [11,12]. Results from eight European influenza studies in the early phase of the winter 2024/25 influenza season indicated that influenza vaccination prevented from one-third to more than three-quarters of influenza infections medically attended in the primary care or hospital settings among the vaccinated, although protection varied by age group and study. Canadian interim 2024/25 VE in the primary care setting was in between our European study estimates at 50–57% [13].

This season, C.1.9, harbouring the K169Q amino acid substitution, is the main circulating A(H1N1)pdm09 5a.2a subclade. The influenza A(H1N1)pdm09 clade 5a.2a also dominated in Europe last season [14], and the vaccine, unchanged since 2023/24, provided protection during the 2023/24 interim A(H1N1)pdm09 VE season similar to or higher than we present for interim 2024/25 season VE [6,15]. The 2023/24 clade-specific VE point estimate for primary care settings was higher than in the current season (52% vs 28–33% among all ages) [15], indicating that virological change within the 5a.2a clade may be causing immune escape. Some VE estimates by age group were low, although antigenic studies with ferret sera indicate that circulating 5a.2a viruses are generally well recognised by sera raised against the clade 5a.2a.1 vaccine virus [14]. Repeat vaccination may play a role in lower VE, as previously hypothesised in some studies [16]; however, small sample size affecting the point estimates may be more likely.

In general, VE against influenza A(H3N2) in the primary care setting was lower than the 54% observed in Canada in this 2024/25 season [13], but due to low circulation of influenza A(H3N2) in Europe to date, all VE estimates had wide confidence intervals. The VE estimates later in the season with more cases will help confirm the VE against circulating A(H3N2) viruses which, although clade-matched to the clade 2a.3a.1 vaccine virus, harbour some genetic variation. Antigenic studies indicate reduced reactivity of ferret antibodies raised against the vaccine virus with the circulating viruses [14].

Circulating influenza B strains were clade-matched to the clade V1A.3a.2 vaccine virus, which had remained unchanged since the 2022/23 northern hemisphere season. The VE was similarly high in the 2022/23 and 2023/24 seasons [8,9,15,17].

These influenza VE results should contribute to the supporting evidence for the WHO composition meeting for the northern hemisphere influenza vaccine strain selection on 24–27 February 2025.

Conclusion

Influenza vaccination should continue to be promoted in target groups, where feasible, as vaccination against influenza A, the main circulating influenza type, protected from one-third to over one-half of vaccinated individuals. Given that there were signals of lower VE by subtype, and particularly among older adults in some studies, in this time of heightened influenza activity other infection prevention measures should also be strengthened. End-of-season influenza VE with greater sample size, combined with more information on genetic variation of viruses, may help clarify observed differences in age- and study-specific VE.

Ethical statement

The planning, conduct and reporting of the studies was in line with the Declaration of Helsinki [18]. Some countries/studies did not require official ethical approval or patient consent as they are part of routine care/surveillance: DK-H, DK-PC, EN-H, EU-H (Ireland, Malta and Spain), EU-PC (Ireland, Spain), SC-H, UK-PC. In EU-PC (the Netherlands), as the data are initially collected through surveillance, no formal ethical approval was necessary. Verbal informed consent, however, is required from patients for participation in any further research (including VE studies). Other study sites received local ethical approval from a national or regional review board: EU-H (Belgium: the fifth amendment of ethical approval No. 12/310, B.U.N. 143201215671 was approved on 12 October 2022; Croatia: approved by the Ethics Committee of the Croatian Institute of Public Health (class: 030-02/24-01/1, 26 November 2024); Germany: approved by Charité Universitätsmedizin Berlin Ethical Board: references EA2/126/11 and EA2/218/19; Hungary: approved by the National Scientific and Ethical Committee (IV/1885-5/2021/EKU); Lithuania: approved 03 July 2020 by the Lithuanian Biomedical Research Ethics Committee No.: L-20-3/1-2; updated 25 July 2022, 25 January 2023 and 30 October 2024; Romania: CE236/2022; Spain/Navarre: approved by the Navarre Ethics Committee, Ethical Committee for Clinical Research (PI2023/145), which waived the requirement of obtaining informed consent); EU-PC (Croatia: approved by the Ethics Committee of the Croatian Institute of Public Health (class 030-02/22-01/4); France: 471393; Germany: EA2/126/11; Ireland: ICGP2019.4.0; Hungary: as for EU-H; Navarre: as for EU-H; Portugal: approved 14 December 2022 by the Ethics Committee of Instituto Nacional de Saúde Doutor Ricardo Jorge, no registration number given).

Funding statement

The EU-H study and EU-PC received funding from the European Centre for Disease Prevention and Control under framework contract ECDC/2021/016 and ECDC/2021/019, respectively.

Use of artificial intelligence tools

None used.

Data availability

Data are available from the corresponding author on request. The 829 sequences generated in connection with this analysis have been submitted to GISAID.

Acknowledgements

All study teams are very grateful to all patients, general practitioners, paediatricians, hospital teams, laboratory teams, and regional epidemiologists who have contributed to the studies.

Special thanks from study teams to each of the following for their substantial contributions to the studies. In DK-PC and DK-H: The influenza team at Statens Serum Institut would like to thank the Clinical Microbiological Laboratories for submitting data to the Danish Microbiology database (MiBa). In EU-H, for Ireland: Maureen O’Leary (HSE-Health Protection Surveillance Centre, Dublin), Weronika Banka (National Virus Reference Laboratory, University College Dublin) and the SARI surveillance teams at the Irish sentinel hospital sites; for Lithuania: Aistė Poškutė, Asta Stankauskaitė, Egidijus Balukevičius (Vilnius University Hospital Santaros Klinikos), Vilija Gurkšnienė (Vilnius University Faculty of Medicine, Vilnius), Tomas Masilionis, Ieva Bradūnienė, Justina Tamosaityte, Iveta Tiepelyte (Department of Infectious Diseases, Lithuanian University of Health Sciences, Kaunas); Konstancija Ambrazaite (The Internal Medicine Department, Lithuanian University of Health Sciences, Kaunas); for Malta: Ausra Dziugyte, Ariana Wijermans, Maria Louise Borg, Stephen Abela, Gerd Xuereb; for Romania: Catalina Pascu, Alina Ivanciuc, Iulia Bistriceanu, Sorin Dinu, Mihaela Oprea, Maria Elena Mihai (“Cantacuzino” National Military–Medical Institute for Research and Development); Corneliu-Petru Popescu, Alexandru Marin, Gratiela Tardei, Alma-Gabriela Tudor, Emonoil Ceausu, Simin Aysel Florescu (“Dr Victor Babes” Clinical Hospital of Infectious and Tropical Diseases, Bucharest); Isabela Ioana Loghin, Elena Duca, Catalina Mihaela Luca, Carmen Mihaela Dorobat (“Saint Parascheva” Clinical Hospital for Infectious Diseases, Iasi). In EU-PC, for Hungary: the Hungarian study team works as part of the National Laboratory for Health Security Hungary (RRF‐2.3.1‐21‐2022‐00006) supported by the National Research, Development and Innovation Office (NKFIH); for The Netherlands: Lynn Aarts, Sanne Bos, Jasper van den Brink, Sharon van den Brink, Gabriel Goderski, Maxime Hartwig, Tara Sprong, Anne Teirlinck, Mariam Bagheri, Samantha Zoomer, Michelle van den Oever, molecular pool and virus isolation and characterisation technicians, National Institute for Public Health and the Environment (RIVM), Bilthoven; Nivel Primary Care Database – Sentinel Practices team, Nienke Veldhuijzen, Safira Wortel, Ruben van der Burgh, Ruud van den Broek, Cathrien Kager, Marloes Riethof, Marloes Hellwich, Bart Knottnerus, participating general practices and their patients, Nivel, Utrecht; for Romania: Violeta Melinte, Elena Nedu, Cojanu Filofteia, Bianca Voinescu, Cristiana Cristea, Olivia Burcos, Delia Stanciu, Adelina Dogaru, Anca Hotescu, Nicoleta Mirea, Claudia Leulescu, Amalia Dascalu, Corina Oprisa, and Andreea Toderan; for Sweden, Public Health Agency of Sweden: Elin Arvesen, Nora Nid, Tove Samuelsson-Hagey, Viktor Persson, Emmi Andersson, Lena Dillner, AnnaSara Carnahan. In EU-PC and EU-H: We gratefully acknowledge Marta Valenciano and Alain Moren for all their support to the primary care and hospital networks across the seasons. For Croatia: Martina Zajec and Iva Zrakić; for Germany, the German team thanks all general practitioners, paediatricians and hospital teams, who have contributed to the German ARI and SARI surveillance. In addition, we want to thank the laboratory team at the National Reference Centre for Influenza and the colleagues at the sequencing core facility of the Genome Competence Center, Robert Koch Institute (RKI) that contributed to the study. We sincerely appreciate the scientific support of Thomas Krannich, Marie Lataretu, Sofia Paraskevopoulou, and Dimitri Ternovoj from the Genome Competence Center, RKI, for their assistance with genome assembly. For Portugal, thanks to the Sentinel Networks at primary care and hospital settings for their important contributions. For Spain, thanks to the SiVIRA surveillance and vaccine effectiveness group (https://cne.isciii.es/documents/d/cne/colaboradores-sivira_2024-25-1) for their important contributions. For Navarre, Spain: thanks to the Primary Health Care Sentinel Network and the Network for Influenza Surveillance in Hospitals of Navarre for recruiting patients for the study. In SC-H: John Wood. In UK-PC: Tiina Talts, Busayo Elegunde, Jade Cogdale, and staff in the molecular and genomics section of the Respiratory Virus Unit, Virus Reference Department, UK Health Security Agency; Rachel Byford, Gunjan Jiwnani and Martin Waugh, Nuffield Department of Primary Care Health Sciences, University of Oxford; thanks to the Public Health Wales Virology Department and all members of the sentinel GP network and integrated surveillance team.

Participating laboratories submitted their sequences to GISAID (www.gisaid.org) for easy sharing with the central laboratory in Madrid.

Test results for influenza virus were obtained from the Danish Microbiology Database (MiBa, http://miba.ssi.dk), which contains all electronic reports from departments of clinical microbiology in Denmark since 2010, and we acknowledge the collaboration with the MiBa Board of Representatives.

Supplementary Data

Supplement

Conflict of interest: Aukse Mickiene has received a grant for the Independent Investigator Initiated Research (Project Code/PO/Tracking Number WI236259; Grant ID#53233947); Pfizer R&D Investigator-Initiated Research program (https://www.pfizer.com/science/collaboration/investigator-initiated-research) for the scientific project “A prospective study on the long-term outcome and pathogenesis of tick-borne encephalitis”, and a Grant from the European Society of Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Infectious Diseases of the Brain (ESGIB); sponsorship for participation in the international scientific  conferences by MSD, Pfizer, Abbvie, Janssen, payments for lectures in local scientific conferences and consultation fees from GSK, Sanofi, Pfizer, E-visit. Ligita Jancoriene has received honoraria fees for lectures from Pfizer, Viatris, Swixx Biopharma.

None of the other authors has declared any conflict of interest.

Authors’ contributions: Esther Kissling: coordination of VEBIS primary care network, study design, interpretation of results, manuscript writing. Angela MC Rose: coordination of VEBIS hospital network, study design, data management for hospital data, interpretation of results, manuscript writing. Both authors contributed equally to the study and manuscript. Amanda Bolt Botnen, Hanne-Dorthe Emborg, Kimberly Marsh, Ross McQueenie, Ramona Trebbien, Karina Lauenborg Møller, Mark G O’Doherty, Safraj Shahul Hameed, Nick Andrews, Mark Hamilton, Siobhan Murphy, Jamie Lopez-Bernal, Simon Cottrell, Magda Bucholc, Freja Kirsebom and Heather Whitaker: coordination of their respective studies, data analysis and interpretation of results, read, contributed to and approved the final version of the manuscript. Francisco Pozo: coordinated the virological analysis of the primary care study, read, contributed to and approved the final version of the manuscript. Héloïse Lucaccioni: data management and analysis of EU-PC primary care data, interpretation of results, contribution to manuscript writing. Diogo FP Marques: analysis of EU-H hospital data, interpretation of results, contribution to manuscript writing. European IVE group: (i) Primary care and hospital sites at national/regional level: data collection, data validation, results interpretation, review of manuscript. (ii) Laboratories: virological data collection, validation and analysis, genetic characterisation, interpretation of results, review of manuscript. (iii) ECDC and Epiconcept co-authors: study design, interpretation of results, review of manuscript.

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