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. 2023 Aug 10;212(5):323–337. doi: 10.1007/s00430-023-00775-8

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© The Author(s) 2023

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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Fig. 1 — SARS-CoV-2 viral load distribution of respiratory samples included in this study. A, C Shown is the log10 viral load (Geq/ml) of 71 SARS-CoV-2-positive Omicron-BA.4 (A, blue) and 100 SARS-CoV-2-positive Omicron-BA.5 (C, red) patient samples, sorted by ascending magnitude of the viral load from left to right. Each dot indicates one patient and the sample’s ID is indicated. B, D Depicted is the histogram of the viral load distribution for Omicron-BA.4 (B, blue) and for Omicron-BA.5 (D, red) by categorization of samples into defined log10 viral load ranges. Each histogram bar indicates the number of samples in the respective viral load range. E Depicted is the comparison of the samples shown in A and C. The horizontal line in the box plots shows the median of the samples, bound between upper and lower quartiles, and whiskers between minimum and maximum are indicated