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US National Institutes of Health Prioritization of SARS-CoV-2 Variants

Sam Turner, Arghavan Alisoltani, Debbie Bratt, Liel Cohen-Lavi, Bethany L. Dearlove, Christian Drosten, Will M. Fischer, Ron A.M. Fouchier, Ana Silvia Gonzalez-Reiche, Lukasz Jaroszewski, Zain Khalil, Eric LeGresley, Marc Johnson, Terry C. Jones, Barbara Mühlemann, David O'Connor, Mayya Sedova, Maulik Shukla, James Theiler, Zachary S. WallaceHyejin Yoon, Yun Zhang, Harm van Bakel, Marciela M. Degrace, Elodie Ghedin, Adam Godzik, Tomer Hertz, Bette Korber, Jacob Lemieux, Anna M. Niewiadomska, Diane J. Post, Morgane Rolland, Richard Scheuermann, Derek J. Smith

Research output: Contribution to journalArticlepeer-review

Abstract

Since late 2020, SARS-CoV-2 variants have regularly emerged with competitive and phenotypic differences from previously circulating strains, sometimes with the potential to escape from immunity produced by prior exposure and infection. The Early Detection group is one of the constituent groups of the US National Institutes of Health National Institute of Allergy and Infectious Diseases SARS-CoV-2 Assessment of Viral Evolution program. The group uses bioinformatic methods to monitor the emergence, spread, and potential phenotypic properties of emerging and circulating strains to identify the most relevant variants for experimental groups within the program to phenotypically characterize. Since April 2021, the group has prioritized variants monthly. Prioritization successes include rapidly identifying most major variants of SARS-CoV-2 and providing experimental groups within the National Institutes of Health program easy access to regularly updated information on the recent evolution and epidemiology of SARS-CoV-2 that can be used to guide phenotypic investigations.

Original languageAmerican English
Pages (from-to)E1-E9
JournalEmerging Infectious Diseases
Volume29
Issue number5
DOIs
StatePublished - 1 May 2023

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

All Science Journal Classification (ASJC) codes

  • Epidemiology
  • Microbiology (medical)
  • Infectious Diseases

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