Evidence map›Paper›PMID 41233587›Full record

ArticleCommunications medicine2025

Investigation of the sero-epidemiology of vaccine preventable diseases and common viral infections in French populations.

Emma Bloch, Gaëlle Baudemont, Françoise Donnadieu, Laura Garcia, Stéphane Pelleau, SeroPed Study Consortium, Milieu Intérieur Consortium, Lluis Quintana-Murci, Darragh Duffy, Arnaud Fontanet and 1 more

Abstract read
In one paragraph

Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

11 authors.

Emma BlochInfectious Disease Epidemiology and Analytics G5 Unit, Institut Pasteur, Université Paris Cité, Paris, France.ORCID http://orcid.org/0009-0002-2227-9164
Gaëlle BaudemontInfectious Disease Epidemiology and Analytics G5 Unit, Institut Pasteur, Université Paris Cité, Paris, France.ORCID http://orcid.org/0009-0006-0345-7489
Françoise DonnadieuInfectious Disease Epidemiology and Analytics G5 Unit, Institut Pasteur, Université Paris Cité, Paris, France.
Laura GarciaInfectious Disease Epidemiology and Analytics G5 Unit, Institut Pasteur, Université Paris Cité, Paris, France.ORCID http://orcid.org/0000-0001-8044-5365
Stéphane PelleauInfectious Disease Epidemiology and Analytics G5 Unit, Institut Pasteur, Université Paris Cité, Paris, France.ORCID http://orcid.org/0000-0002-7070-2177
SeroPed Study Consortium
Milieu Intérieur Consortium
Lluis Quintana-Murci *Institut Pasteur, Université Paris Cité, CNRS UMR2000, Human Evolutionary Genetics Unit, Paris, France.
Darragh Duffy *Translational Immunology Unit, Institut Pasteur, Université Paris Cité, Paris, France.ORCID http://orcid.org/0000-0002-8875-2308
Arnaud FontanetEmerging Diseases Epidemiology Unit, Institut Pasteur, Université Paris Cité, Paris, France.
Michael WhiteInfectious Disease Epidemiology and Analytics G5 Unit, Institut Pasteur, Université Paris Cité, Paris, France. michael.white@pasteur.fr.ORCID http://orcid.org/0000-0002-7472-4138

Funding

EC | EC Seventh Framework Programm | FP7 Ideas: European Research Council (FP7-IDEAS-ERC - Specific Programme: 'Ideas' Implementing the Seventh Framework Programme of the European Community for Research, Technological Development and Demonstration Activities (2007 to 2013)) 852373
6 · The paper itself

Abstract

backgroundVaccine-preventable diseases and common viral infections pose substantial public health challenges worldwide. Applying multiplex serological assays to samples collected from cross-sectional studies allows assessment of population-level immunity to a broad range of pathogens.

methodsWe develop a high-throughput multiplex serological assay using bead-based Luminex technology to measure IgG antibody responses to a broad panel of pathogens. Vaccine preventable diseases include pertussis, diphtheria, tetanus, measles, mumps, and rubella. Common viral infections include adenovirus, cytomegalovirus, Epstein-Barr virus, chickenpox, respiratory syncytial virus, echovirus, Coxsackie B virus, rhinovirus, norovirus, rotavirus, influenza A, hepatitis A, hepatitis E, and the seasonal coronaviruses 229E, OC43, NL63, and HKU1. Measured antibody responses are analysed with statistical models to assess seroprevalence within the French population.

resultsThe analysis of 2132 serum samples from French children and adults reveals notable variation in seroprevalence among different age groups. Consistently high seroprevalence for endemic viruses is observed across all age groups, suggesting widespread exposure from a young age and continuous exposure throughout life. Similarly, mandatory vaccine seroprevalence remains consistently high, reflecting a strong vaccination coverage in France.

conclusionsThese findings highlight the potential of high-throughput multiplex serology assays for routine surveillance of common viral infections and assessment of vaccine coverage.

Identifiers

PMID41233587
PMCPMC12615665

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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.