Optimizing global genomic surveillance for early detection of emerging SARS-CoV-2 variants

H Haogao Gu (School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region) J Jifan Li W Wanying Sun M Mengting Li K Kathy Leung J Joseph T. Wu (The Hong Kong Jockey Club Global Health Institute, Hong Kong Special Administrative Region) H Hsiang-Yu Yuan M Maggie H. Wang B Bingyi Yang M Matthew R. McKay (Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity) N Ning Ning L Leo L. M. Poon (HKU-Pasteur Research Pole, School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region)

Article Details

Volume / Issue Vol. 17, Issue 1
Published March 14, 2026
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (12)

H

Haogao Gu

School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region

J

Jifan Li

W

Wanying Sun

M

Mengting Li

K

Kathy Leung

J

Joseph T. Wu

The Hong Kong Jockey Club Global Health Institute, Hong Kong Special Administrative Region

H

Hsiang-Yu Yuan

M

Maggie H. Wang

B

Bingyi Yang

M

Matthew R. McKay

Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity

N

Ning Ning

L

Leo L. M. Poon

HKU-Pasteur Research Pole, School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region