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. 2021 Jun 26;21:194. doi: 10.1186/s12866-021-02241-y

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© The Author(s) 2021

Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 1 — RBD-IgG, RBD-Ab and neutralizing antibody titre of COVID-19 discharged patients’ convalescent sera. a-c RBD-IgG (COI) (a), RBD-Ab (COI) (b) and neutralizing antibody titre (c) of patients’ sera with different clinical types. Cutoff index (COI) value = the sample detection value/cutoff value. Each set of data was represented by the median (interquartile range). Each black dot represented the antibody detection value of each serum sample. d Correlation analysis among the RBD-IgG, RBD-Ab, neutralizing antibody titre, the disease severity and age groups. The figures showed the scatter plots, Spearman correlation coefficients and the red lines were trend lines