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. 2020 Nov 28;223(4):589–599. doi: 10.1093/infdis/jiaa737

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© The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America.

This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

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Figure 5. — SARS-CoV-2 neutralizing antibodies in HCW. A, MN titers of HCW with positive or intermediate SARS-CoV-2 RBD screening results (n = 76). C, Live VN titers of HCW positive with MN antibodies (n = 11). Each circle represents 1 HCW (gray baseline and purple follow-up). Horizontal lines represent geometric mean with 95% confidence interval. HCW were divided into seroconverters (blue circle) who had ≥4-fold increase in (B) MN and (D) VN titers and nonseroconverters (gray circle) who had <4-fold increase in titers. Their respective fold changes in MN and VN titers are plotted on the right y-axis with horizontal lines representing the mean with standard error of the mean. Dotted lines represent positive neutralizing antibody titers of 20. Individuals with undetectable antibodies were assigned a titer of 10 for plotting and calculation purposes. MN and VN titers were log-transformed and compared between time points in mixed-effects models with adjustment for subject variation, age, sex, and other relevant demographic factors. **P < .01. Abbreviations: HCW, health care workers; MN, microneutralization; RBD, receptor-binding domain; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2; VN, virus neutralization.