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

The Danish Covid-19 Genome Consortium (DCGC), Mads Albertsen, Moritz U. G. Kraemer,, Louis du Plessis, Pikka Jokelainen, Sune Lehmann Jørgensen, Tyra Grove Krause, Henrik Ullum, David A. Duchêne, Laust Hvas Mortensen, Samir Bhatt, Karina Gravgaard Thomsen (Member of author group), Dorte Terp Andersen (Member of author group), Kat Steinke (Member of author group), Marianne Skov (Member of author group), Sanne Løkkegaard Larsen (Member of author group), John Coia (Member of author group)

Research output: Contribution to journalJournal articleResearchpeer-review

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.

Original languageEnglish
Article number7123
JournalNature Communications
Volume15
Number of pages16
ISSN2041-1723
DOIs
Publication statusPublished - Dec 2024

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© The Author(s) 2024.

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