Evidence map›Paper›PMID 36325031›Full record

ArticleVirus evolution2022

Global estimates of the fitness advantage of SARS-CoV-2 variant Omicron.

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

Abstract read
In one paragraph

Article in Virus evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Understanding patterns of variant emergence and spread in an ongoing epidemic.medRxiv : the preprint server for health sciences · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Emma GoldbergTheoretical Biology and Biophysics (T-6), Los Alamos National Laboratory, P.O. Box 1663, MS P280, Los Alamos NM 87544, USA.
Ruian KeTheoretical Biology and Biophysics (T-6), Los Alamos National Laboratory, P.O. Box 1663, MS P280, Los Alamos NM 87544, USA.ORCID https://orcid.org/0000-0001-5307-8934
Nick HengartnerTheoretical Biology and Biophysics (T-6), Los Alamos National Laboratory, P.O. Box 1663, MS P280, Los Alamos NM 87544, USA.
Ethan Romero-SeversonTheoretical Biology and Biophysics (T-6), Los Alamos National Laboratory, P.O. Box 1663, MS P280, Los Alamos NM 87544, USA.ORCID https://orcid.org/0000-0002-8082-1225

Funding

Reconstructing HIV Epidemics from HIV PhylogeneticsR01AI087520 · NIAID · TRIAD NATIONAL SECURITY, LLC · PI Thomas K. Leitner · 2010 to 2026
$11.2M
Modeling the HIV latent reservoir, latency reversal and immunotherapeutics for HIV cureR01AI152703 · NIAID · TRIAD NATIONAL SECURITY, LLC · PI KE, RUIAN · 2020 to 2024
$3.0M
NIAID NIH HHS R01 AI087520NIAID NIH HHS R01 AI152703
6 · The paper itself

Abstract

New variants of SARS-CoV-2 show remarkable heterogeneity in their relative fitness over both time and space. In this paper we extend the tools available for estimating the selection strength for new SARS-CoV-2 variants to a hierarchical, mixed-effects, renewal equation model. This formulation allows us to estimate selection effects at the global level while incorporating both measured and unmeasured heterogeneity among countries. Applying this model to the spread of Omicron in forty countries, we find evidence for very strong but very heterogeneous selection effects. To test whether this heterogeneity is explained by differences in the immune landscape, we considered several measures of vaccination rates and recent population-level infection as covariates, finding moderately strong, statistically significant effects. We also found a significant positive correlation between the selection advantage of Delta and Omicron at the country level, suggesting that other region-specific explanatory variables of fitness differences do exist. Our method is implemented in the Stan programming language, can be run on standard consumer-grade computing resources, and will be straightforward to apply to future variants.

Indexed as

mixed effects modelomicron variantSARS-CoV-2 variantsselection effects

Identifiers

PMID36325031
PMCPMC9615435

What OpenQuestion holds

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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.