Evidence map›Paper›PMID 34818335›Full record

ArticlePloS one2021

Rapid relaxation of pandemic restrictions after vaccine rollout favors growth of SARS-CoV-2 variants: A model-based analysis.

Debra Van Egeren, Madison Stoddard, Alexander Novokhodko, Michael S Rogers, Diane Joseph-McCarthy, Bruce Zetter, Arijit Chakravarty

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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  5. Article
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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

7 authors at 3 institutions in 1 country.

Debra Van EgerenDepartment of Systems Biology, Harvard Medical School, Boston, MA, United States of America.ORCID 0000-0002-4017-0413
Madison StoddardFractal Therapeutics, Cambridge, MA, United States of America.ORCID 0000-0001-9853-8500
Alexander NovokhodkoDepartment of Mechanical Engineering, University of Washington, Seattle, WA, United States of America.ORCID 0000-0002-8975-6730
Michael S RogersVascular Biology Program, Boston Children's Hospital, Boston, MA, United States of America.
Diane Joseph-McCarthyDepartment of Biomedical Engineering, Boston University, Boston, MA, United States of America.ORCID 0000-0001-9685-6177
Bruce ZetterVascular Biology Program, Boston Children's Hospital, Boston, MA, United States of America.
Arijit ChakravartyFractal Therapeutics, Cambridge, MA, United States of America.ORCID 0000-0003-1338-5432
Boston Children's Hospital · USBoston University · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development and deployment of several SARS-CoV-2 vaccines in a little over a year is an unprecedented achievement of modern medicine. The high levels of efficacy against transmission for some of these vaccines makes it feasible to use them to suppress SARS-CoV-2 altogether in regions with high vaccine acceptance. However, viral variants with reduced susceptibility to vaccinal and natural immunity threaten the utility of vaccines, particularly in scenarios where a return to pre-pandemic conditions occurs before the suppression of SARS-CoV-2 transmission. In this work we model the situation in the United States in May-June 2021, to demonstrate how pre-existing variants of SARS-CoV-2 may cause a rebound wave of COVID-19 in a matter of months under a certain set of conditions. A high burden of morbidity (and likely mortality) remains possible, even if the vaccines are partially effective against new variants and widely accepted. Our modeling suggests that variants that are already present within the population may be capable of quickly defeating the vaccines as a public health intervention, a serious potential limitation for strategies that emphasize rapid reopening before achieving control of SARS-CoV-2.

Indexed as

Models, StatisticalMutationCOVID-19COVID-19 VaccinesHumansPublic HealthSARS-CoV-2United StatesCOVID-19 Vaccines

Identifiers

PMID34818335
PMCPMC8612578
OpenAlexW3216039054

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.