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, Frederik Trier Møller, The Danish COVID-19 Genome Consortium (DCGC), Stine K. Østergaard (Medlem af forfattergruppering), Emil A. Sørensen (Medlem af forfattergruppering), Thomas B. N. Jensen (Medlem af forfattergruppering), Emilio Fuster-Collados (Medlem af forfattergruppering), Clarisse Chiche-Lapierre, Thomas Y. Michaelsen (Medlem af forfattergruppering), Celine Petersen (Medlem af forfattergruppering), Susan H. Hansen (Medlem af forfattergruppering)Henrik Bygum Krarup (Medlem af forfattergruppering), Mads Albertsen, Moritz U. G. Kraemer, Louis du Plessis, Pikka Jokelainen, Sune Lehmann, Tyra G. Krause, Henrik Ullum, David A. Duchêne, Laust H. Mortensen, Samir Bhatt

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer 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   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.
OriginalsprogEngelsk
Artikelnummer7123
TidsskriftNature Communications
Vol/bind15
ISSN2041-1723
DOI
StatusUdgivet - 2024

Bibliografisk note

© 2024. The Author(s).

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