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. 2024 Jun 11;14:13417. doi: 10.1038/s41598-024-64414-9

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© The Author(s) 2024, corrected publication 2024

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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Factors associated with anti-SARS-CoV-2 antibody production and kinetics. The statistical analysis was performed by a final adjusted multivariate logistic regression model (a, b) and linear mixed models (c) and data are exhibited with odds ratios (a) and p values (b, c) on the graphs. (A)—Female gender, Rh-negative blood type, and the severity of COVID-19 infection are associated with the anti-SARS-CoV-2 (N) and (S) production. Odds ratios are demonstrated in different colored dots to show the power of association for each factor ranged from 0–0.8. (B)—On the graph b the dots are represented p values to demonstrate the probability of the mentioned factors association with antibody production. The p values are coded with the following numbers: p < 0.001 = 4, 0.001–0.002 = 3, 0.002–0.01 = 2, 0.01–0.05 = 1, > 0.05 = 0. (C)—Graph c demonstrates the factors linked with the rate of reaching antibody peak and further decay rates. The p values are coded with the following numbers: p < 0.001 = 4, 0.001–0.002 = 3, 0.002–0.01 = 2, 0.01–0.05 = 1, > 0.05 = 0.