Evidence map›Paper›PMID 33688062›Full record

ArticleScience (New York, N.Y.)2021

Epidemiological and evolutionary considerations of SARS-CoV-2 vaccine dosing regimes.

Chadi M Saad-Roy, Sinead E Morris, C Jessica E Metcalf, Michael J Mina, Rachel E Baker, Jeremy Farrar, Edward C Holmes, Oliver G Pybus, Andrea L Graham, Simon A Levin and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Science (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 132 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
132citing papers in PubMed, 2 pooled it
15.5field-weighted citation impact, top 1% 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

132 citing papers in PubMed, 2 syntheses or guidelines pooled it, 253 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Real-time spatiotemporal tracking of infectious outbreaks in confined environments with a host-pathogen agent-based system.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  8. Article
  9. Article
  10. The speed of vaccination rollout and the risk of pathogen adaptation.Journal of the Royal Society, Interface · 2025
    Article
  11. Article
  12. Article
  13. Epidemic evolutionarily stable strategies within an age-structured host population.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  14. Article
  15. The evolution of post-infection mortality.Proceedings. Biological sciences · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

72 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 8 institutions in 4 countries.

Chadi M Saad-RoyLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08540, USA. csaadroy@princeton.edu grenfell@princeton.edu caroline.wagner@mcgill.ca.ORCID https://orcid.org/0000-0002-2217-3071
Sinead E MorrisDepartment of Pathology and Cell Biology, Columbia University Medical Center, New York, NY 10032, USA.ORCID https://orcid.org/0000-0001-8626-1698
C Jessica E MetcalfDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA.ORCID https://orcid.org/0000-0003-3166-7521
Michael J MinaDepartments of Epidemiology and Immunology and Infectious Diseases, Harvard School of Public Health, Boston, MA 02115, USA.ORCID https://orcid.org/0000-0002-0674-5762
Rachel E BakerDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA.ORCID https://orcid.org/0000-0002-2661-8103
Jeremy FarrarThe Wellcome Trust, London NW1 2BE, UK.ORCID https://orcid.org/0000-0002-2700-623X
Edward C HolmesMarie Bashir Institute for Infectious Diseases and Biosecurity, School of Life and Environmental Sciences, and School of Medical Sciences, The University of Sydney, Sydney, NSW 2006, Australia.ORCID https://orcid.org/0000-0001-9596-3552
Oliver G PybusDepartment of Zoology, University of Oxford, Oxford OX1 3SZ, UK.ORCID https://orcid.org/0000-0002-8797-2667
Andrea L GrahamDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA.ORCID https://orcid.org/0000-0002-6580-2755
Simon A LevinDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA.ORCID https://orcid.org/0000-0002-8216-5639
Bryan T GrenfellDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA. csaadroy@princeton.edu grenfell@princeton.edu caroline.wagner@mcgill.ca.ORCID https://orcid.org/0000-0003-3227-5909
Caroline E WagnerDepartment of Bioengineering, McGill University, Montreal, QC H3A 0C3, Canada. csaadroy@princeton.edu grenfell@princeton.edu caroline.wagner@mcgill.ca.ORCID https://orcid.org/0000-0001-5193-2797
Princeton University · USColumbia University Irving Medical Center · USMassachusetts Department of Public Health · USMcGill University · CANational Institutes of Health · USTaronga Conservation Society Australia · AUUniversity of Oxford · GBWellcome Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given vaccine dose shortages and logistical challenges, various deployment strategies are being proposed to increase population immunity levels to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Two critical issues arise: How timing of delivery of the second dose will affect infection dynamics and how it will affect prospects for the evolution of viral immune escape via a buildup of partially immune individuals. Both hinge on the robustness of the immune response elicited by a single dose as compared with natural and two-dose immunity. Building on an existing immuno-epidemiological model, we find that in the short term, focusing on one dose generally decreases infections, but that longer-term outcomes depend on this relative immune robustness. We then explore three scenarios of selection and find that a one-dose policy may increase the potential for antigenic evolution under certain conditions of partial population immunity. We highlight the critical need to test viral loads and quantify immune responses after one vaccine dose and to ramp up vaccination efforts globally.

Indexed as

Evolution, MolecularAdaptation, PhysiologicalAdaptive ImmunityCOVID-19COVID-19 VaccinesDisease SusceptibilityHumansImmune EvasionImmunization ScheduleImmunogenicity, VaccineModels, TheoreticalMutationSARS-CoV-2Selection, GeneticVaccinationCOVID-19 Vaccines

Identifiers

PMID33688062
PMCPMC8128287
OpenAlexW3135411054

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.