Evidence map›Paper›PMID 39164246›Full record

ArticleNature communications2024

High-resolution epidemiological landscape from  ~290,000 SARS-CoV-2 genomes from Denmark.

Mark P Khurana, Jacob Curran-Sebastian, Neil Scheidwasser, Christian Morgenstern, Morten Rasmussen, Jannik Fonager, Marc Stegger, Man-Hung Eric Tang, Jonas L Juul, Leandro Andrés Escobar-Herrera and 12 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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

22 authors.

Mark P Khurana *Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark. mark.khurana@sund.ku.dk.ORCID 0000-0002-1123-7674
Jacob Curran-Sebastian *Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
Neil Scheidwasser *Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
Christian MorgensternMRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, Imperial College London, London, UK.ORCID 0000-0003-3735-1130
Morten RasmussenVirus Research and Development Laboratory, Statens Serum Institut, Copenhagen, Denmark.ORCID 0000-0001-7491-4137
Jannik FonagerVirus Research and Development Laboratory, Statens Serum Institut, Copenhagen, Denmark.ORCID 0000-0003-1688-1482
Marc SteggerDepartment of Bacteria, Parasites and Fungi, Statens Serum Institut, Copenhagen, Denmark.ORCID 0000-0003-0321-1180
Man-Hung Eric TangDepartment of Bacteria, Parasites and Fungi, Statens Serum Institut, Copenhagen, Denmark.ORCID 0000-0002-3483-0219
Jonas L JuulDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID 0000-0002-5728-9269
Leandro Andrés Escobar-HerreraDepartment of Bacteria, Parasites and Fungi, Statens Serum Institut, Copenhagen, Denmark.
Frederik Trier MøllerInfectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark.ORCID 0000-0002-1059-4661
Danish COVID-19 Genome Consortium (DCGC)
Mads AlbertsenDepartment of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark.ORCID 0000-0002-6151-190X
Moritz U G KraemerPandemic Sciences Institute, University of Oxford, Oxford, UK.ORCID 0000-0001-8838-7147
Louis du PlessisDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.ORCID 0000-0003-0352-6289
Pikka JokelainenInfectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark.ORCID 0000-0002-3035-5094
Sune LehmannDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID 0000-0001-6099-2345
Tyra G KrauseEpidemiological Infectious Disease Preparedness, Statens Serum Institut Copenhagen, Copenhagen, Denmark.
Henrik UllumStatens Serum Institut, Copenhagen, Denmark.
David A DuchêneSection of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-5479-1974
Laust H MortensenSection of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-6399-495X
Samir BhattSection of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-0891-4611

Funding

Danmarks Grundforskningsfond (Danish National Research Foundation) DNRF160Medical Research Council MR/R015600/1Medical Research Council MR/X020258/1
6 · The paper itself

Abstract

Vast amounts of pathogen genomic, demographic and spatial data are transforming our understanding of SARS-CoV-2 emergence and spread. We examined the drivers of molecular evolution and spread of 291,791 SARS-CoV-2 genomes from Denmark in 2021. With a sequencing rate consistently exceeding 60%, and up to 80% of PCR-positive samples between March and November, the viral genome set is broadly whole-epidemic representative. We identify a consistent rise in viral diversity over time, with notable spikes upon the importation of novel variants (e.g., Delta and Omicron). By linking genomic data with rich individual-level demographic data from national registers, we find that individuals aged  < 15 and  > 75 years had a lower contribution to molecular change (i.e., branch lengths) compared to other age groups, but similar molecular evolutionary rates, suggesting a lower likelihood of introducing novel variants. Similarly, we find greater molecular change among vaccinated individuals, suggestive of immune evasion. We also observe evidence of transmission in rural areas to follow predictable diffusion processes. Conversely, urban areas are expectedly more complex due to their high mobility, emphasising the role of population structure in driving virus spread. Our analyses highlight the added value of integrating genomic data with detailed demographic and spatial information, particularly in the absence of structured infection surveys.

Indexed as

COVID-19Genome, ViralSARS-CoV-2AdolescentAdultAgedChildChild, PreschoolDenmarkEvolution, MolecularFemaleHumansInfantMaleMiddle AgedPhylogeny

Identifiers

PMID39164246
PMCPMC11335946

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.