Evidence map›Paper›PMID 33119657›Full record

ArticlePloS one2020

SARS-CoV-2 transmission routes from genetic data: A Danish case study

Andreas Bluhm, Matthias Christandl, Fulvio Gesmundo, Frederik Ravn Klausen, Laura Mančinska, Vincent Steffan, Daniel Stilck França, Albert H Werner

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Early unrecognised SARS-CoV-2 introductions shaped the first pandemic wave, Sweden, 2020.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Andreas BluhmDepartment of Mathematical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0003-4796-7633
Matthias ChristandlDepartment of Mathematical Sciences, University of Copenhagen, Copenhagen, Denmark.
Fulvio GesmundoDepartment of Mathematical Sciences, University of Copenhagen, Copenhagen, Denmark.
Frederik Ravn KlausenDepartment of Mathematical Sciences, University of Copenhagen, Copenhagen, Denmark.
Laura MančinskaDepartment of Mathematical Sciences, University of Copenhagen, Copenhagen, Denmark.
Vincent SteffanDepartment of Mathematical Sciences, University of Copenhagen, Copenhagen, Denmark.
Daniel Stilck FrançaDepartment of Mathematical Sciences, University of Copenhagen, Copenhagen, Denmark.
Albert H WernerDepartment of Mathematical Sciences, University of Copenhagen, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe first cases of COVID-19 caused by the SARS-CoV-2 virus were reported in China in December 2019. The disease has since spread globally. Many countries have instated measures to slow the spread of the virus. Information about the spread of the virus in a country can inform the gradual reopening of a country and help to avoid a second wave of infections. Our study focuses on Denmark, which is opening up when this study is performed (end-May 2020) after a lockdown in mid-March.

methodsWe perform a phylogenetic analysis of 742 publicly available Danish SARS-CoV-2 genome sequences and put them into context using sequences from other countries.

resultsOur findings are consistent with several introductions of the virus to Denmark from independent sources. We identify several chains of mutations that occurred in Denmark. In at least one case we find evidence that the virus spread from Denmark to other countries. A number of the mutations found in Denmark are non-synonymous, and in general there is a considerable variety of strains. The proportions of the most common haplotypes remain stable after lockdown.

conclusionEmploying phylogenetic methods on Danish genome sequences of SARS-CoV-2, we exemplify how genetic data can be used to trace the introduction of a virus to a country. This provides alternative means for verifying existing assumptions. For example, our analysis supports the hypothesis that the virus was brought to Denmark by skiers returning from Ischgl. On the other hand, we identify transmission routes which suggest that Denmark was part of a network of countries among which the virus was being transmitted. This challenges the common narrative that Denmark only got infected from abroad. Our analysis concerning the ratio of haplotypes does not indicate that the major haplotypes appearing in Denmark have a different degree of virality.

Indexed as

Genome, ViralMutationBetacoronavirusCoronavirus InfectionsCOVID-19DenmarkHaplotypesHumansPandemicsPhylogenyPneumonia, ViralSARS-CoV-2

Identifiers

PMID33119657
PMCPMC7595399

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LicenceCC BY
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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.