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. 2023 Feb 10;19:43. doi: 10.1186/s12917-023-03599-z

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© The Author(s) 2023

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 — The relationship between the proportion of individual seropositive milk samples in the equal-volume milk sample (EVMS_%POS) and optical density of EVMS (OD_EVMS) in the indirect ELISA based on a mixture of synthetic viral peptides (sp-iELISA). The inner green broken line is a 95% confidence interval of the linear regression (green solid line). The outer green broken line is a 95% prediction interval. Green rectangle depicts the range of OD_EVMS within which the model allows for estimation of EVMS_%POS. Black broken line is a cut-off separating positive and negative EVMS