Evidence map›Paper›PMID 40628287›Full record

ArticleJournal of the Royal Society, Interface2025

The speed of vaccination rollout and the risk of pathogen adaptation.

Sylvain Gandon, Amaury Lambert, Marina Voinson, Troy Day, Todd L Parsons

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. The speed of vaccination rollout and the risk of pathogen adaptation.Journal of the Royal Society, Interface · 2025
    Article
  3. The probability of epidemic burnout in the stochastic SIR model with vital dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2024
    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

5 authors.

Sylvain GandonCEFE, CNRS, Univ Montpellier, EPHE, IRD, Montpellier, France.ORCID 0000-0003-2624-7856
Amaury LambertInstitut de Biologie de l'ENS (IBENS), Ecole Normale Supérieure (ENS), CNRS UMR 8197, PSL Research University, Paris, France.ORCID 0000-0002-7248-9955
Marina VoinsonCEFE, CNRS, Univ Montpellier, EPHE, IRD, Montpellier, France.ORCID 0000-0001-6085-9974
Troy DayDepartment of Mathematics and Statistics, Queen's University, Kingston, Ontario, Canada.ORCID 0000-0002-1052-6140
Todd L ParsonsSorbonne Université, Université Paris Cité, CNRS, Laboratoire de Probabilités, Statistique et Modélisation, LPSM, Paris, France.ORCID 0000-0002-2599-8415

Funding

Agence Nationale de la Recherche
6 · The paper itself

Abstract

Vaccination is expected to reduce disease prevalence and to halt the spread of epidemics. Pathogen adaptation, however, may erode the efficacy of vaccination and limit our ability to control disease spread. Here, we examine the influence of the rate of vaccination of the host population on the overall risk of pathogen adaptation to vaccination. We extend the framework of evolutionary epidemiology theory to account for demographic stochasticity in the different steps leading to the adaptation to vaccination: (i) the introduction of a vaccine-escape variant by mutation from an endemic wild-type pathogen, (ii) the invasion of this vaccine-escape variant in spite of the risk of early extinction, (iii) the spread and fixation of the vaccine-escape variant in the pathogen population. We introduce a novel and versatile hybrid analytical-numerical method that allows fast computation of the probabilities associated with these steps. Using it, we show that increasing the rate of vaccination can reduce both the number of cases and the likelihood of pathogen adaptation. Our work clarifies the influence of vaccination policies-a major ecological perturbation of the environment of a pathogen-on different steps of pathogen adaptation. The model provides a useful theoretical framework to account for the interplay between epidemiology, selection and genetic drift and to anticipate the effects of public-health interventions on pathogen evolution.

Indexed as

Adaptation, PhysiologicalModels, BiologicalVaccinationHumansadaptive dynamicsdemographic stochasticityevolutionary epidemiologyvaccination

Identifiers

PMID40628287
PMCPMC12308340

What OpenQuestion holds

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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.