Evidence map›Paper›PMID 37347417›Full record

ArticleEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin2023

Estimated protection against COVID-19 based on predicted neutralisation titres from multiple antibody measurements in a longitudinal cohort, France, April 2020 to November 2021.

Tom Woudenberg, Laurie Pinaud, Laura Garcia, Laura Tondeur, Stéphane Pelleau, Alix De Thoisy, Françoise Donnadieu, Marija Backovic, Mikaël Attia, Nathanael Hozé and 11 more

Open access · diamondAbstract read
In one paragraph

Article in Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.5field-weighted citation impact, top 6% of its field
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

17 citing papers in PubMed, 18 citations in OpenAlex.

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  9. Avidity maturation of anti-spike IgG after vaccination in COVID-19 convalescent vs COVID-19 naïve patients.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2025
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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

21 authors at 4 institutions in 1 country.

Tom WoudenbergInfectious Disease Epidemiology and Analytics G5 Unit, Department of Global Health, Institut Pasteur, Université Paris-Cité, Paris, France.
Laurie PinaudEmerging Diseases Epidemiology Unit, Institut Pasteur, Université Paris-Cité, Paris, France.
Laura GarciaInfectious Disease Epidemiology and Analytics G5 Unit, Department of Global Health, Institut Pasteur, Université Paris-Cité, Paris, France.
Laura TondeurEmerging Diseases Epidemiology Unit, Institut Pasteur, Université Paris-Cité, Paris, France.
Stéphane PelleauInfectious Disease Epidemiology and Analytics G5 Unit, Department of Global Health, Institut Pasteur, Université Paris-Cité, Paris, France.
Alix De ThoisyInfectious Disease Epidemiology and Analytics G5 Unit, Department of Global Health, Institut Pasteur, Université Paris-Cité, Paris, France.
Françoise DonnadieuInfectious Disease Epidemiology and Analytics G5 Unit, Department of Global Health, Institut Pasteur, Université Paris-Cité, Paris, France.
Marija BackovicStructural Virology Unit, Department of Virology and CNRS UMR 3569, Institut Pasteur, Université Paris-Cité, Paris, France.
Mikaël AttiaMolecular Genetics of RNA Viruses, Department of Virology, Institut Pasteur, Université Paris-Cité, CNRS UMR 3569, Paris, France.
Nathanael HozéMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris-Cité, UMR2000, CNRS, Paris, France.
Cécile DuruHôpital de Crépy-en-Valois, Crépy-en-Valois, France.
Aymar Davy KoffiHôpital de Crépy-en-Valois, Crépy-en-Valois, France.
Sandrine CastelainLaboratoire de virologie, CHU Amiens, AGIR UR4294, UPJV, Amiens, France.
Marie-Noelle UngeheuerClinical Investigation and Access to Research Bioresources (ICAReB) platform, Center for Translational Science, Institut Pasteur, Paris, France.
Sandrine Fernandes PellerinCenter for Translational Science, Institut Pasteur, Paris, France.
Delphine PlanasVirus and Immunity Unit, Department of Virology, Institut Pasteur, Université Paris-Cité, Paris, France.
Timothée BruelVirus and Immunity Unit, Department of Virology, Institut Pasteur, Université Paris-Cité, Paris, France.
Simon CauchemezMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris-Cité, UMR2000, CNRS, Paris, France.
Olivier SchwartzVirus and Immunity Unit, Department of Virology, Institut Pasteur, Université Paris-Cité, Paris, France.
Arnaud FontanetPACRI Unit, Conservatoire National des Arts et Métiers, Paris, France.
Michael WhiteInfectious Disease Epidemiology and Analytics G5 Unit, Department of Global Health, Institut Pasteur, Université Paris-Cité, Paris, France.
Institut Pasteur · FRCentre National de la Recherche Scientifique · FRAgents infectieux, résistance et chimiothérapie · FRConservatoire National des Arts et Métiers · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundThe risk of SARS-CoV-2 (re-)infection remains present given waning of vaccine-induced and infection-acquired immunity, and ongoing circulation of new variants.AimTo develop a method that predicts virus neutralisation and disease protection based on variant-specific antibody measurements to SARS-CoV-2 antigens.MethodsTo correlate antibody and neutralisation titres, we collected 304 serum samples from individuals with either vaccine-induced or infection-acquired SARS-CoV-2 immunity. Using the association between antibody and neutralisation titres, we developed a prediction model for SARS-CoV-2-specific neutralisation titres. From predicted neutralising titres, we inferred protection estimates to symptomatic and severe COVID-19 using previously described relationships between neutralisation titres and protection estimates. We estimated population immunity in a French longitudinal cohort of 905 individuals followed from April 2020 to November 2021.ResultsWe demonstrated a strong correlation between anti-SARS-CoV-2 antibodies measured using a low cost high-throughput assay and antibody response capacity to neutralise live virus. Participants with a single vaccination or immunity caused by infection were especially vulnerable to symptomatic or severe COVID-19. While the median reduced risk of COVID-19 from Delta variant infection in participants with three vaccinations was 96% (IQR: 94-98), median reduced risk among participants with infection-acquired immunity was only 42% (IQR: 22-66).ConclusionOur results are consistent with data from vaccine effectiveness studies, indicating the robustness of our approach. Our multiplex serological assay can be readily adapted to study new variants and provides a framework for development of an assay that would include protection estimates.

Indexed as

COVID-19Antibodies, NeutralizingAntibodies, ViralFranceHumansReinfectionSARS-CoV-2Antibodies, NeutralizingAntibodies, ViralantibodiesCOVID-19humoral immunityneutralising antibodiesprotectionSARS-CoV-2sero-epidemiologyseroprevalenceviral immunity

Identifiers

PMID37347417
PMCPMC10288827
OpenAlexW4381597601

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.