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. 2022 Dec 17;12:21818. doi: 10.1038/s41598-022-25719-9

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Temporal evolution of ∆Ct_NR registered viral variant replacements. (A) Top: Weekly temporal evolution of SARS-CoV-2 lineages as per WGS results. Bottom: Weekly number of high-quality RT-PCR samples are indicated with bars (shades of grey indicate availability of WGS results). Weekly temporal evolution of ∆Ct_NR is depicted by a line-dot trend with standard error shown in bars. (B) Models for variant classification during Alpha-Delta transition (left) and Delta-Omicron transition (right). Data used for model construction is shown in the stable period while data used for model evaluation is used on the replacement period. Each sub-dataset is separated by a vertical dotted line. Cut-off values determined at the 5th and 95th percentile values of circulating variants during the stable period are indicated by horizontal dashed lines colored according to each variant.