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. 2022 Jan 20;22:138. doi: 10.1186/s12889-021-12275-6

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© The Author(s) 2022, corrected publication 2022

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/. 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. 6 — Simulations of the COVID-19 model with dynamic human behavior (16) with various initial proportions x_S(0) of the susceptibles in support of lock-down. The social learning rate of susceptible individuals is κ_S=1. a The progression of the proportion of symptomatically infected individuals I(t). b The progression of the proportion of the susceptible population in support of the closure or lock-down measures. The measures are enacted as long as t≥t_close and x_S(t)≥0.5