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Detection and prevalence of SARS-CoV-2 co-infections during the Omicron variant circulation in France

Author

Listed:
  • Antonin Bal

    (Hospices Civils de Lyon
    Hospices Civils de Lyon
    Univ Lyon, Inserm,U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308)

  • Bruno Simon

    (Hospices Civils de Lyon
    Hospices Civils de Lyon)

  • Gregory Destras

    (Hospices Civils de Lyon
    Hospices Civils de Lyon
    Univ Lyon, Inserm,U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308)

  • Richard Chalvignac

    (Hospices Civils de Lyon
    Hospices Civils de Lyon)

  • Quentin Semanas

    (Hospices Civils de Lyon
    Hospices Civils de Lyon)

  • Antoine Oblette

    (Hospices Civils de Lyon
    Hospices Civils de Lyon)

  • Grégory Quéromès

    (Hospices Civils de Lyon
    Univ Lyon, Inserm,U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308)

  • Remi Fanget

    (Hospices Civils de Lyon)

  • Hadrien Regue

    (Hospices Civils de Lyon
    Hospices Civils de Lyon)

  • Florence Morfin

    (Hospices Civils de Lyon
    Hospices Civils de Lyon
    Univ Lyon, Inserm,U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308)

  • Martine Valette

    (Hospices Civils de Lyon)

  • Bruno Lina

    (Hospices Civils de Lyon
    Hospices Civils de Lyon
    Univ Lyon, Inserm,U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308)

  • Laurence Josset

    (Hospices Civils de Lyon
    Hospices Civils de Lyon
    Univ Lyon, Inserm,U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308)

Abstract

From December 2021-February 2022, an intense and unprecedented co-circulation of SARS-CoV-2 variants with high genetic diversity raised the question of possible co-infections between variants and how to detect them. Using 11 mixes of Delta:Omicron isolates at different ratios, we evaluated the performance of 4 different sets of primers used for whole-genome sequencing and developed an unbiased bioinformatics method for the detection of co-infections involving genetically distinct SARS-CoV-2 lineages. Applied on 21,387 samples collected between December 6, 2021 to February 27, 2022 from random genomic surveillance in France, we detected 53 co-infections between different lineages. The prevalence of Delta and Omicron (BA.1) co-infections and Omicron lineages BA.1 and BA.2 co-infections were estimated at 0.18% and 0.26%, respectively. Among 6,242 hospitalized patients, the intensive care unit (ICU) admission rates were 1.64%, 4.81% and 15.38% in Omicron, Delta and Delta/Omicron patients, respectively. No BA.1/BA.2 co-infections were reported among ICU admitted patients. Among the 53 co-infected patients, a total of 21 patients (39.6%) were not vaccinated. Although SARS-CoV-2 co-infections were rare in this study, their proper detection is crucial to evaluate their clinical impact and the risk of the emergence of potential recombinants.

Suggested Citation

  • Antonin Bal & Bruno Simon & Gregory Destras & Richard Chalvignac & Quentin Semanas & Antoine Oblette & Grégory Quéromès & Remi Fanget & Hadrien Regue & Florence Morfin & Martine Valette & Bruno Lina &, 2022. "Detection and prevalence of SARS-CoV-2 co-infections during the Omicron variant circulation in France," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-33910-9
    DOI: 10.1038/s41467-022-33910-9
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    1. Raquel Viana & Sikhulile Moyo & Daniel G. Amoako & Houriiyah Tegally & Cathrine Scheepers & Christian L. Althaus & Ugochukwu J. Anyaneji & Phillip A. Bester & Maciej F. Boni & Mohammed Chand & Wonderf, 2022. "Rapid epidemic expansion of the SARS-CoV-2 Omicron variant in southern Africa," Nature, Nature, vol. 603(7902), pages 679-686, March.
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