Evidence map›Paper›PMID 32750338›Full record

ArticleCurrent biology : CB2020

On the evolutionary epidemiology of SARS-CoV-2.

Troy Day, Sylvain Gandon, Sébastien Lion, Sarah P Otto

Abstract read
In one paragraph

Article in Current biology : CB, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers.

0numbers the graph read from it
0cells of the map it votes in
108citing 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

108 citing papers in PubMed.

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  19. Phylogenies increase power to detect highly transmissible viral genome variants.medRxiv : the preprint server for health sciences · 2023
    Article
  20. Review

48 more citing papers are in PubMed but not listed here.

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

4 authors.

Troy DayDepartment of Mathematics and Statistics, Department of Biology, Queen's University, Kingston, ON K7L 3N6, Canada. Electronic address: day@queensu.ca.
Sylvain GandonCEFE, CNRS, University of Montpellier, Paul Valéry University of Montpellier, EPHE, IRD, 34293 Montpellier Cedex 5, France. Electronic address: sylvain.gandon@cefe.cnrs.fr.
Sébastien LionCEFE, CNRS, University of Montpellier, Paul Valéry University of Montpellier, EPHE, IRD, 34293 Montpellier Cedex 5, France. Electronic address: sebastien.lion@cefe.cnrs.fr.
Sarah P OttoDepartment of Zoology and Biodiversity Research Centre, University of British Columbia, Vancouver, BC V6T 1Z4, Canada. Electronic address: otto@zoology.ubc.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is no doubt that the novel coronavirus SARS-CoV-2 that causes COVID-19 is mutating and thus has the potential to adapt during the current pandemic. Whether this evolution will lead to changes in the transmission, the duration, or the severity of the disease is not clear. This has led to considerable scientific and media debate, from raising alarms about evolutionary change to dismissing it. Here we review what little is currently known about the evolution of SARS-CoV-2 and extend existing evolutionary theory to consider how selection might be acting upon the virus during the COVID-19 pandemic. Although there is currently no definitive evidence that SARS-CoV-2 is undergoing further adaptation, continued evidence-based analysis of evolutionary change is important so that public health measures can be adjusted in response to substantive changes in the infectivity or severity of COVID-19.

Indexed as

Adaptation, BiologicalAnimalsAsymptomatic InfectionsBetacoronavirusBiological EvolutionCoronavirus InfectionsCOVID-19Genetic PleiotropyGenetic VariationHumansMutationPandemicsPhysical DistancingPneumonia, ViralPopulation GrowthSARS-CoV-2

Identifiers

PMID32750338
PMCPMC7287426

What OpenQuestion holds

Textmetadata
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.