Evidence map›Paper›PMID 32719452›Full record

ReviewNature ecology & evolution2020

Self-disseminating vaccines to suppress zoonoses.

Scott L Nuismer, James J Bull

Open access · bronzeAbstract readReview
In one paragraph

Review in Nature ecology & evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.0field-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

30 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Article
  3. Self-Assembling Short Peptide Carriers for Gene Delivery.International journal of molecular sciences · 2026
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. 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
  19. Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Scott L NuismerDepartment of Biological Sciences, University of Idaho, Moscow, ID, USA. snuismer@uidaho.edu.ORCID http://orcid.org/0000-0001-9817-0056
James J BullDepartment of Biological Sciences, University of Idaho, Moscow, ID, USA.
University of Idaho · 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 GM122079U.S. Department of Health & Human Services | National Institutes of Health (NIH) NIH R01GM122079
6 · The paper itself

Abstract

The SARS-CoV-2 epidemic is merely the most recent demonstration that our current approach to emerging zoonotic infectious disease is ineffective. SARS, MERS, Ebola, Nipah and an array of arenavirus infections sporadically spillover into human populations and are often contained only as a result of their poor transmission in human hosts, coupled with intense public health control efforts in the early stages of an emerging epidemic. It is now more apparent than ever that we need a better and more proactive approach. One possibility is to eliminate the threat of spillover before it occurs using vaccines capable of autonomously spreading through wild animal reservoirs. We are now poised to begin developing self-disseminating vaccines targeting a wide range of human pathogens, but important decisions remain about how they can be most effectively designed and used to target pathogens with a high risk of spillover and/or emergence. In this Perspective, we first review the basic epidemiological theory establishing the feasibility and utility of self-disseminating vaccines. We then outline a road map for overcoming remaining technical challenges: identifying high-risk pathogens before they emerge, optimizing vaccine design with an eye to evolution, behaviour and epidemiology, and minimizing the risk of unintended consequences.

Indexed as

Coronavirus InfectionsPandemicsPneumonia, ViralVaccinesAnimalsBetacoronavirusCOVID-19HumansSARS-CoV-2ZoonosesVaccines

Identifiers

PMID32719452
PMCPMC9014850
OpenAlexW3043836858

What OpenQuestion holds

Textmetadata
LicenceTDM
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.