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

Authors :
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. Wallace
Hyejin 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
Source :
Emerging Infectious Diseases, Vol 29, Iss 5, Pp 1-9 (2023)
Publication Year :
2023
Publisher :
Centers for Disease Control and Prevention, 2023.

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.

Details

Language :
English
ISSN :
10806040 and 10806059
Volume :
29
Issue :
5
Database :
Directory of Open Access Journals
Journal :
Emerging Infectious Diseases
Publication Type :
Academic Journal
Accession number :
edsdoj.9c8ff4d1df5c4feb8b350093d5bc9d12
Document Type :
article
Full Text :
https://doi.org/10.3201/eid2905.221646