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

Gu H, Li J, Sun W, Li M, Leung K, Wu JT, Yuan HY, Wang MH, Yang B, McKay MR, Ning N, Poon LLM

Open source

DOI
10.1038/s41467-026-70664-0
Published
2026 Mar 14
Container
Nature communications
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1038/s41467-026-70664-0,
  title = {Optimizing global genomic surveillance for early detection of emerging SARS-CoV-2 variants.},
  author = {Gu H and Li J and Sun W and Li M and Leung K and Wu JT and Yuan HY and Wang MH and Yang B and McKay MR and Ning N and Poon LLM},
  year = {2026},
  journal = {Nature communications},
  doi = {10.1038/s41467-026-70664-0},
  url = {https://doi.org/10.1038/s41467-026-70664-0}
}

RIS

TY  - JOUR
TI  - Optimizing global genomic surveillance for early detection of emerging SARS-CoV-2 variants.
AU  - Gu H
AU  - Li J
AU  - Sun W
AU  - Li M
AU  - Leung K
AU  - Wu JT
AU  - Yuan HY
AU  - Wang MH
AU  - Yang B
AU  - McKay MR
AU  - Ning N
AU  - Poon LLM
PY  - 2026
JO  - Nature communications
DO  - 10.1038/s41467-026-70664-0
UR  - https://doi.org/10.1038/s41467-026-70664-0
ER  - 

APA

H, G., J, L., W, S., M, L., K, L., JT, W., HY, Y., MH, W., B, Y., MR, M., N, N., & LLM, P. (2026). Optimizing global genomic surveillance for early detection of emerging SARS-CoV-2 variants.. Nature communications. https://doi.org/10.1038/s41467-026-70664-0

Source records