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Enhancing epidemiological surveillance of the emergence of the SARS-CoV-2 Omicron variant using spike gene target failure data, England, 15 November to 31 December 2021

  • Paula B. Blomquist
  • , Jessica Bridgen
  • , Neil Bray
  • , Anne Marie O'Connell
  • , Daniel West
  • , Natalie Groves
  • , Eileen Gallagher
  • , Lara Utsi
  • , Christopher I. Jarvis
  • , Jo L. Hardstaff
  • , Chloe Byers
  • , Soeren Metelmann
  • , David Simons
  • , Asad Zaidi
  • , Katherine A. Twohig
  • , Bethan Savagar
  • , Alessandra Lochen
  • , Cian Ryan
  • , Katie Wrenn
  • , María Saavedra-Campos
  • Zahidul Abedin, Isaac Florence, Paul Cleary, Richard Elson, Roberto Vivancos, Iain R. Lake*
*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)
21 Downloads (Pure)

Abstract

When SARS-CoV-2 Omicron emerged in 2021, S gene target failure enabled differentiation between Omicron and the dominant Delta variant. In England, where S gene target surveillance (SGTS) was already established, this led to rapid identification (within ca 3 days of sample collection) of possible Omicron cases, alongside real-time surveillance and modelling of Omicron growth. SGTS was key to public health action (including case identification and incident management), and we share applied insights on how and when to use SGTS.

Original languageEnglish
Article number2200143
Pages (from-to)6-10
Number of pages5
JournalEurosurveillance
Volume27
Issue number11
DOIs
Publication statusPublished - 17 Mar 2022

Bibliographical note

Funding Information: IRL is part supported by the Health Protection Research Unit (NIHR HPRU) in Emergency Preparedness and Response at King’s College London in partnership with UK Health Security Agency and collaboration with the University of East Anglia. RV is part supported by the NIHR HPRU in Emerging and Zoonotic Infections and the NIHR HPRU in Gastrointestinal Infections, both at the University of Liverpool. The views expressed in this article are those of the author(s) and are not necessarily those of UK Health Security Agency, the Department of Health and Social Care, the National Health Service, the National Institute for Health Research, the London School of Hygiene and Tropical Medicine or the University of East Anglia.

Open Access: This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence and indicate if changes were made.

Publisher Copyright: This article is copyright of the authors or their affiliated institutions, 2022.

Citation: Blomquist Paula B, Bridgen Jessica, Bray Neil, O’Connell Anne Marie, West Daniel, Groves Natalie, Gallagher Eileen, Utsi Lara, Jarvis Christopher I, Hardstaff Jo L, Byers Chloe, Metelmann Soeren, Simons David, Zaidi Asad, Twohig Katherine A, Savagar Bethan, Løchen Alessandra, Ryan Cian, Wrenn Katie, Saavedra-Campos
María, Abedin Zahidul, Florence Isaac, Cleary Paul, Elson Richard, Vivancos Roberto, Lake Iain R. Enhancing epidemiological surveillance of the emergence of the SARS-CoV-2 Omicron variant using spike gene target failure data, England, 15 November to 31 December 2021. Euro Surveill. 2022;27(11):pii=2200143.

DOI: https://doi.org/10.2807/1560-7917.ES.2022.27.11.2200143

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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