Evidence map›Paper›PMID 29279283›Full record

ArticleVaccine2018

Evaluating the promise of recombinant transmissible vaccines.

Andrew J Basinski, Tanner J Varrelman, Mark W Smithson, Ryan H May, Christopher H Remien, Scott L Nuismer

Open access · hybridAbstract read
In one paragraph

Article in Vaccine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

20 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Inferring the disruption of rabies circulation in vampire bat populations using a betaherpesvirus-vectored transmissible vaccine.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  6. Article
  7. Article
  8. Quantifying the effectiveness of betaherpesvirus-vectored transmissible vaccines.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Self-disseminating vaccines to suppress zoonoses.Nature ecology & evolution · 2020
    Review
  13. Article
  14. Article
  15. Recombinant vector vaccine evolution.PLoS computational biology · 2019
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors at 2 institutions in 1 country.

Andrew J BasinskiDept. of Mathematics, University of Idaho, 875 Perimeter Drive, Moscow, ID 83844, United States. Electronic address: abasinski@uidaho.edu.
Tanner J VarrelmanBioinformatics and Computational Biology, University of Idaho, 875 Perimeter Drive, Moscow, ID 83844, United States.
Mark W SmithsonSchool of Biological Sciences, Washington State University, PO Box 644236, Pullman, WA 99163, United States.
Ryan H MayDept. of Mathematics, University of Idaho, 875 Perimeter Drive, Moscow, ID 83844, United States.
Christopher H RemienDept. of Mathematics, University of Idaho, 875 Perimeter Drive, Moscow, ID 83844, United States.
Scott L NuismerDept. of Biological Sciences, University of Idaho, 875 Perimeter Drive, Moscow, ID 83844, United States.
University of Idaho · USWashington State University · US

Funding

COLLABORATIVE RESEARCH: A MATHEMATICAL THEORY OF TRANSMISSIBLE VACCINES R01GM122079 · NIGMS · UNIVERSITY OF IDAHO · PI SCOTT L NUISMER · 2016 to 2026
$2.2M
NIGMS NIH HHS R01 GM122079
6 · The paper itself

Abstract

Transmissible vaccines have the potential to revolutionize infectious disease control by reducing the vaccination effort required to protect a population against a disease. Recent efforts to develop transmissible vaccines focus on recombinant transmissible vaccine designs (RTVs) because they pose reduced risk if intra-host evolution causes the vaccine to revert to its vector form. However, the shared antigenicity of the vaccine and vector may confer vaccine-immunity to hosts infected with the vector, thwarting the ability of the vaccine to spread through the population. We build a mathematical model to test whether a RTV can facilitate disease management in instances where reversion is likely to introduce the vector into the population or when the vector organism is already established in the host population, and the vector and vaccine share perfect cross-immunity. Our results show that a RTV can autonomously eradicate a pathogen, or protect a population from pathogen invasion, when cross-immunity between vaccine and vector is absent. If cross-immunity between vaccine and vector exists, however, our results show that a RTV can substantially reduce the vaccination effort necessary to control or eradicate a pathogen only when continuously augmented with direct manual vaccination. These results demonstrate that estimating the extent of cross-immunity between vector and vaccine is a critical step in RTV design, and that herpesvirus vectors showing facile reinfection and weak cross-immunity are promising.

Indexed as

VaccinationAlgorithmsAnimalsCommunicable Disease ControlCross ReactionsDisease EradicationHumansModels, TheoreticalVaccines, SyntheticVaccines, SyntheticEpidemiologyInfectious vaccineMathematical modelRecombinantTransmissible vaccineVaccineVectored vaccine

Identifiers

PMID29279283
PMCPMC5811206
OpenAlexW2777829368

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.