Optimizing global genomic surveillance for early detection of emerging SARS-CoV-2 variants.
- DOI
- 10.1038/s41467-026-70664-0
- Published
- 2026 Mar 14
- Container
- Nature communications
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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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
- pubmed · retrieved 2026-11-10T20:56:51.896Z