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. 2020 Jun 26;20:451. doi: 10.1186/s12879-020-05178-1

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© The Author(s) 2020

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. 3 — Estimated undiagnosed HIV infections overall and by key subpopulation, Norway, 1980–2018. a overall; b among Norwegian-born MSM; c migrant MSM; d Norwegian-born heterosexuals; e migrant SSA-born heterosexuals; f migrant non-SSA-born heterosexuals; g PWID. Dashed line: Estimates of undiagnosed infections from the ECDC HIV modelling tool using default model assumption for CD4 distribution. Solid area: 95% confidence interval from the ECDC HIV modelling tool using default model assumption for CD4 distribution. Solid line: Estimates of undiagnosed infections from the ECDC HIV modelling tool including the Danish CD4 proxy. Dotted area: 95% confidence interval from the ECDC HIV modelling tool including the Danish CD4 proxy. MSM = men who have sex with men. SSA = Sub-Saharan Africa. PWID = people who inject drugs