An early warning system for emerging SARS-CoV-2 variants
Journal
Nature Medicine
ISSN
1078-8956
1546-170X
Date Issued
2022
Author(s)
Lorenzo Subissi
Anne von Gottberg
Lipi Thukral
Nathalie Worp
Bas B. Oude Munnink
Surabhi Rathore
Laith J. Abu-Raddad
Erik Alm
Brett N. Archer
Homa Attar Cohen
Amal Barakat
Wendy S. Barclay
Jinal N. Bhiman
Leon Caly
Meera Chand
Mark Chen
Ann Cullinane
Tulio de Oliveira
Christian Drosten
Julian Druce
Paul Effler
Ihab El Masry
Adama Faye
Simani Gaseitsiwe
Elodie Ghedin
Rebecca Grant
Bart L. Haagmans
Belinda L. Herring
Shilpa S. Iyer
Zyleen Kassamali
Manish Kakkar
Rebecca J. Kondor
Juliana A. Leite
Yee-Sin Leo
Gabriel M. Leung
Marco Marklewitz
Sikhulile Moyo
Jairo Mendez-Rico
Nada M. Melhem
Vincent Munster
Karen Nahapetyan
Djin-Ye Oh
Boris I. Pavlin
Thomas P. Peacock
Malik Peiris
Zhibin Peng
Leo L. M. Poon
Andrew Rambaut
Jilian Sacks
Yinzhong Shen
Marilda M. Siqueira
Sofonias K. Tessema
Erik M. Volz
Volker Thiel
Sylvie van der Werf
Sylvie Briand
Mark D. Perkins
Maria D. Van Kerkhove
Marion P. G. Koopmans
Anurag Agrawal
Type
Resource Types::text::journal::journal article
Cite this document
Subissi, L., Von Gottberg, A., Thukral, L., Worp, N., Oude Munnink, B. B., Rathore, S., Abu-Raddad, L. J., Aguilera, X., Alm, E., Archer, B. N., Attar Cohen, H., Barakat, A., Barclay, W. S., Bhiman, J. N., Caly, L., Chand, M., Chen, M., Cullinane, A., De Oliveira, T., … Agrawal, A. (2022). An early warning system for emerging SARS-CoV-2 variants. Nature Medicine, 28(6), 1110-1115. https://doi.org/10.1038/s41591-022-01836-w
Subjects
covid-19
;
humans
;
sars-cov-2
;
heptapeptide
;
amino acid substitution
;
amino terminal sequence
;
antigenic escape
;
consensus
;
coronavirus disease 2019
;
delphi study
;
disease severity
;
early warning score
;
electronic health record
;
host cell
;
human
;
note
;
phenotype
;
protein structure
;
receptor binding
;
sars-cov-2 alpha
;
sars-cov-2 beta
;
sars-cov-2 delta
;
sars-cov-2 epsilon
;
sars-cov-2 eta
;
sars-cov-2 gamma
;
sars-cov-2 iota
;
sars-cov-2 kappa
;
sars-cov-2 lambda
;
sars-cov-2 mu
;
sars-cov-2 omicron
;
sars-cov-2 theta
;
sars-cov-2 zeta
;
sequence database
;
severe acute respiratory syndrome coronavirus 2
;
variant of concern
;
variant of interest
;
virus virulence
;
world health organization
;
genetics