{
  "abstract": "Respiratory viruses persist in a population, because their rapid evolution allows them to escape recognition by antibodies in previously-infected individuals. To optimize parameters of an effective vaccine, an epidemiological model of a population infected with an evolving virus is coupled to a model of multi-locus evolution. Model parameters are informed from influenza virus data. The cases of overlapping and non-overlapping effect of consecutive vaccinations are considered. The results predict that vaccination will accelerate viral evolution and may even increase infection incidence, unless one of two scenarios takes place: either antibodies elicited by vaccine are more broadly neutralizing than antibodies to natural infection, or the vaccine vector lies slightly ahead of the dominant virus variant in the evolutionary trajectory. These results suggest that the probabilistic prognosis of virus evolution represents a promising strategy of vaccine improvement complementing the search for broadly-neutralizing vaccines. Author summary: Some viruses persist in a population, because their rapid evolution allows them to escape recognition by antibodies in previously-infected individuals. Developing effective vaccines against these viruses poses a challenge. To predict parameters of an effective vaccine, a mathematical model of population infected with various strains of evolving virus and keeping immune memory cells left by past viral strains is developed. The model is based on matching the standard epidemiological approach to multi-site evolution models and is informed from available data on influenza virus. Results demonstrate that vaccination will accelerate viral evolution and may even increase infection incidence, unless one of two following conditions takes place. Either the immune response to vaccine is more broadly neutralizing than that the immune response to infection, or the vaccine vector is slightly ahead of the virus on evolutionary trajectory. Given the difficulties with developing broadly-neutralizing vaccines, the “forward-neutralizing” vaccines offer a promising alternative. The approach relies on the accurate probabilistic prognosis of virus evolution from computational models and genomic data.",
  "abstract_shown": true,
  "affiliations": [
    "Sechenov Institute of Evolutionary Physiology and Biochemistry RAS, St Petersburg, Russia."
  ],
  "article_type": "Research Article",
  "arxiv": null,
  "author_total": 1,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Igor M Rouzine",
      "orcid": "0000-0002-0744-6705"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/17ky81zzg9z3k.bib",
  "cited_by": 0,
  "doi": "10.1371/journal.ppat.1014311",
  "fulltext_url": "https://journals.plos.org/plospathogens/article?id=10.1371/journal.ppat.1014311",
  "id": "17ky81zzg9z3k",
  "issns": [
    "1553-7374",
    "1553-7366"
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  "landing_url": "https://journals.plos.org/plospathogens/article?id=10.1371/journal.ppat.1014311",
  "language": "eng",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2713|Influenza Virus Research Studies"
    ],
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      "plos",
      "/Biology and life sciences/Evolutionary biology/Evolutionary immunology"
    ],
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      "/Biology and life sciences/Microbiology/Microbial evolution/Viral evolution"
    ],
    [
      "plos",
      "/Biology and life sciences/Microbiology/Virology/Viral evolution"
    ],
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      "plos",
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    ],
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    ],
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    ],
    [
      "plos",
      "/Medicine and health sciences/Medical conditions/Infectious diseases/Infectious disease control/Vaccines/Viral vaccines"
    ],
    [
      "plos",
      "/Medicine and health sciences/Medical conditions/Infectious diseases/Infectious disease control/Vaccines/Viral vaccines/HIV vaccines"
    ],
    [
      "plos",
      "/Medicine and health sciences/Medical conditions/Infectious diseases/Respiratory infections"
    ],
    [
      "plos",
      "/Medicine and health sciences/Medical conditions/Infectious diseases/Viral diseases/Influenza"
    ],
    [
      "plos",
      "/Medicine and health sciences/Medical conditions/Respiratory disorders/Respiratory infections"
    ],
    [
      "plos",
      "/Medicine and health sciences/Pulmonology/Respiratory disorders/Respiratory infections"
    ],
    [
      "plos",
      "/Physical sciences/Mathematics/Statistics/Statistical methods/Monte Carlo method"
    ],
    [
      "plos",
      "/Research and analysis methods/Mathematical and statistical techniques/Statistical methods/Monte Carlo method"
    ]
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  "openalex": "W7221531712",
  "pdf_url": "https://journals.plos.org/plospathogens/article/file?id=10.1371/journal.ppat.1014311&type=printable",
  "pmcid": "PMC13705590",
  "pmid": "42862853",
  "published": "2026-10-12",
  "publisher": "Public Library of Science",
  "ris": "https://research.draconitic.com/paper/17ky81zzg9z3k.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:30Z",
      "native_id": "10.1371/journal.ppat.1014311",
      "source": "plos",
      "url": "https://journals.plos.org/plospathogens/article?id=10.1371/journal.ppat.1014311"
    },
    {
      "first_seen": "2026-10-30T12:19:00Z",
      "native_id": "MED:42862853",
      "source": "europepmc",
      "url": "https://europepmc.org/article/MED/42862853"
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  "subjects": [
    {
      "field": "biology",
      "origin": "plos:microbiology",
      "subfield": "microbiology"
    },
    {
      "field": "medicine",
      "origin": "plos:infectious diseases",
      "subfield": "infectious-disease"
    }
  ],
  "title": "Vaccination accelerates the race of influenza virus against collective immunity",
  "title_text": "Vaccination accelerates the race of influenza virus against collective immunity",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:19:00Z",
  "url": "https://research.draconitic.com/paper/17ky81zzg9z3k",
  "venue": "PLOS Pathogens",
  "versions": []
}