Evidence map›Paper›PMID 33821289›Full record

ArticlemedRxiv : the preprint server for health sciences2021

Estimating the strength of selection for new SARS-CoV-2 variants.

Christiaan H van Dorp, Emma E Goldberg, Nick Hengartner, Ruian Ke, Ethan O Romero-Severson

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

5 authors.

Christiaan H van DorpTheoretical Biology and Biophysics (T-6), Los Alamos National Laboratory, Los Alamos NM, USA.
Emma E GoldbergTheoretical Biology and Biophysics (T-6), Los Alamos National Laboratory, Los Alamos NM, USA.
Nick HengartnerTheoretical Biology and Biophysics (T-6), Los Alamos National Laboratory, Los Alamos NM, USA.
Ruian KeTheoretical Biology and Biophysics (T-6), Los Alamos National Laboratory, Los Alamos NM, USA.
Ethan O Romero-SeversonTheoretical Biology and Biophysics (T-6), Los Alamos National Laboratory, Los Alamos NM, USA.

Funding

Viral dynamics of rebound and control following early treatment of HIV/SIVP01AI131365 · NIAID · BOSTON COLLEGE · PI WHITNEY, JAMES BURTON · 2017 to 2021
$7.5M
Modeling Viral and T Lymphocyte DynamicsR01OD011095 · OD · TRIAD NATIONAL SECURITY, LLC · PI PERELSON, ALAN S · 2012 to 2024
$5.0M
Immune System Modeling/HIVR01AI028433 · NIAID · UNIVERSITY OF CALIF-LOS ALAMOS NAT LAB · PI PERELSON, ALAN S · 1990 to 2021
$3.7M
NIAID NIH HHS P01 AI131365NIAID NIH HHS R01 AI028433NIH HHS R01 OD011095
6 · The paper itself

Abstract

Controlling the SARS-CoV-2 pandemic becomes increasingly challenging as the virus adapts to human hosts through the continual emergence of more transmissible variants. Simply observing that a variant is increasing in frequency is relatively straightforward, but more sophisticated methodology is needed to determine whether a new variant is a global threat and the magnitude of its selective advantage. We present three methods for quantifying the strength of selection for new and emerging variants of SARS-CoV-2 relative to the background of contemporaneous variants. These methods range from a detailed model of dynamics within one country to a broad analysis across all countries, and they include alternative explanations such as migration and drift. We find evidence for strong selection favoring the D614G spike mutation and B.1.1.7 (Alpha), weaker selection favoring B.1.351 (Beta), and no advantage of R.1 after it spreads beyond Japan. Cutting back data to earlier time horizons reveals large uncertainty very soon after emergence, but that estimates of selection stabilize after several weeks. Our results also show substantial heterogeneity among countries, demonstrating the need for a truly global perspective on the molecular epidemiology of SARS-CoV-2.

Identifiers

PMID33821289
PMCPMC8020992

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.