Evidence map›Paper›PMID 33564785›Full record

ArticlemedRxiv : the preprint server for health sciences2021

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

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Chadi M Saad-RoyLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton NJ 08540, USA.
Sinead E MorrisDepartment of Pathology and Cell Biology, Columbia University Medical Center, New York NY 10032, USA.
C Jessica E MetcalfDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton NJ 08540, USA.
Michael J MinaDepartments of Epidemiology and Immunology and Infectious Diseases, Harvard School of Public Health, Boston MA 02115, USA.
Rachel E BakerDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton NJ 08540, USA.
Jeremy FarrarThe Wellcome Trust, London, UK.
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, Australia.
Oliver G PybusDepartment of Zoology, University of Oxford, Oxford, UK.
Andrea L GrahamDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton NJ 08540, USA.
Simon A LevinDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton NJ 08540, USA.
Bryan T GrenfellDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton NJ 08540, USA.
Caroline E WagnerDepartment of Bioengineering, McGill University, Montreal QC H3A 0C3, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the threat of Covid-19 continues and in the face of vaccine dose shortages and logistical challenges, various deployment strategies are being proposed to increase population immunity levels. How timing of delivery of the second dose affects infection burden but also prospects for the evolution of viral immune escape are critical questions. Both hinge on the strength and duration (i.e. robustness) of the immune response elicited by a single dose, compared to 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 longer-term outcomes depend on this relative immune robustness. We then explore three scenarios of selection, evaluating how different second dose delays might drive immune escape via a build-up of partially immune individuals. Under certain scenarios, we find that a one-dose policy may increase the potential for antigenic evolution. We highlight the critical need to test viral loads and quantify immune responses after one vaccine dose, and to ramp up vaccination efforts throughout the world.

Identifiers

PMID33564785
PMCPMC7872380

What OpenQuestion holds

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Registered trials

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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.