ArticleProceedings of the National Academy of Sciences of the United States of America2012
Self-boosting vaccines and their implications for herd immunity.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
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.
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Who cites it
10 citing papers in PubMed, 22 citations in OpenAlex.
- Waning immunity drives respiratory virus evolution and reinfection.Evolution, medicine, and public health · 2025Article
- Current status and future directions for the development of human papillomavirus vaccines.Frontiers in immunology · 2024Review
- Recombinant vector vaccine evolution.PLoS computational biology · 2019Article
- Immuno-epidemiology of a population structured by immune status: a mathematical study of waning immunity and immune system boosting.Journal of mathematical biology · 2015Article
- The determinant of periodicity in Mycoplasma pneumoniae incidence: an insight from mathematical modelling.Scientific reports · 2015Article
- Modeling infectious disease dynamics in the complex landscape of global health.Science (New York, N.Y.) · 2015Review
- Seven challenges in modeling vaccine preventable diseases.Epidemics · 2015Article
- Dissecting the indirect effects caused by vaccines into the basic elements.Human vaccines & immunotherapeutics · 2015Review
- Pertussis.Human vaccines & immunotherapeutics · 2015Review
- Estimation of the underlying burden of pertussis in adolescents and adults in Southern Ontario, Canada.PloS one · 2013Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Advances in vaccine technology over the past two centuries have facilitated far-reaching impact in the control of many infections, and today's emerging vaccines could likewise open new opportunities in the control of several diseases. Here we consider the potential, population-level effects of a particular class of emerging vaccines that use specific viral vectors to establish long-term, intermittent antigen presentation within a vaccinated host: in essence, "self-boosting" vaccines. In particular, we use mathematical models to explore the potential role of such vaccines in situations where current immunization raises only relatively short-lived protection. Vaccination programs in such cases are generally limited in their ability to raise lasting herd immunity. Moreover, in certain cases mass vaccination can have the counterproductive effect of allowing an increase in severe disease, through reducing opportunities for immunity to be boosted through natural exposure to infection. Such dynamics have been proposed, for example, in relation to pertussis and varicella-zoster virus. In this context we show how self-boosting vaccines could open qualitatively new opportunities, for example by broadening the effective duration of herd immunity that can be achieved with currently used immunogens. At intermediate rates of self-boosting, these vaccines also alleviate the potential counterproductive effects of mass vaccination, through compensating for losses in natural boosting. Importantly, however, we also show how sufficiently high boosting rates may introduce a new regime of unintended consequences, wherein the unvaccinated bear an increased disease burden. Finally, we discuss important caveats and data needs arising from this work.
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Registered trials
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.