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

Authors: Mark P. Khurana; Jacob Curran-Sebastian; Neil Scheidwasser; Christian Morgenstern; Morten Rasmussen; Jannik Fonager; Marc Stegger; +55 Authors

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

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 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.

Nature Communications, 15 (1)

ISSN:2041-1723

Keywords

Adult, Male, 570, Viral/genetics, Adolescent, Evolution, Science, Denmark, 610, Genome, Viral, Article, Evolution, Molecular, Young Adult, SARS-CoV-2/genetics, Humans, Genome, Viral/genetics, /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being; name=SDG 3 - Good Health and Well-being, Neurodegeneration, Preschool, Child, Phylogeny, COVID-19/epidemiology, Aged, Wolfram syndrome; Oligodendrocytes; Neurodegeneration; iPSC model, Genome, Wolfram syndrome, SARS-CoV-2, Oligodendrocytes, Q, iPSC model, Molecular, COVID-19, Infant, Middle Aged, Denmark/epidemiology, Child, Preschool, Female

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
Green
gold