Evidence map›Paper›PMID 34270597›Full record

ArticlePloS one2021

Beyond the new normal: Assessing the feasibility of vaccine-based suppression of SARS-CoV-2.

Madison Stoddard, Sharanya Sarkar, Lin Yuan, Ryan P Nolan, Douglas E White, Laura F White, Natasha S Hochberg, Arijit Chakravarty

Abstract 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. 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

8 authors.

Madison StoddardFractal Therapeutics, Cambridge, MA, United States of America.ORCID 0000-0001-9853-8500
Sharanya SarkarDepartment of Microbiology and Immunology, Dartmouth College, Hanover, NH, United States of America.
Lin YuanFractal Therapeutics, Cambridge, MA, United States of America.
Ryan P NolanHalozyme Therapeutics, San Diego, CA, United States of America.
Douglas E WhiteIndependent Researcher, United States of America.
Laura F WhiteDepartment of Biostatistics, Boston University, Boston, MA, United States of America.ORCID 0000-0002-0588-8235
Natasha S HochbergDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, United States of America.
Arijit ChakravartyFractal Therapeutics, Cambridge, MA, United States of America.

Funding

Maximizing Investigators' Research Award (R35)R35GM141821 · NIGMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WHITE, LAURA FORSBERG · 2021 to 2025
$1.8M
NIGMS NIH HHS R35 GM141821
6 · The paper itself

Abstract

As the COVID-19 pandemic drags into its second year, there is hope on the horizon, in the form of SARS-CoV-2 vaccines which promise disease suppression and a return to pre-pandemic normalcy. In this study we critically examine the basis for that hope, using an epidemiological modeling framework to establish the link between vaccine characteristics and effectiveness in bringing an end to this unprecedented public health crisis. Our findings suggest that a return to pre-pandemic social and economic conditions without fully suppressing SARS-CoV-2 will lead to extensive viral spread, resulting in a high disease burden even in the presence of vaccines that reduce risk of infection and mortality. Our modeling points to the feasibility of complete SARS-CoV-2 suppression with high population-level compliance and vaccines that are highly effective at reducing SARS-CoV-2 infection. Notably, vaccine-mediated reduction of transmission is critical for viral suppression, and in order for partially-effective vaccines to play a positive role in SARS-CoV-2 suppression, complementary biomedical interventions and public health measures must be deployed simultaneously.

Indexed as

Age FactorsBasic Reproduction NumberCOVID-19COVID-19 VaccinesFeasibility StudiesHumansImmunity, HerdImmunogenicity, VaccineModels, StatisticalMortalitySARS-CoV-2VaccinationCOVID-19 Vaccines

Identifiers

PMID34270597
PMCPMC8284637

What OpenQuestion holds

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LicenceCC BY
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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.