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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. 8 — Simulations of the COVID-19 model with dynamic human behavior (16) for the proportions of all symptomatic infections and behavioral response with low sensitivity to self-isolation ε_I=0.00001. The social learning rates are κ_S=1 and κ_I=100, and x_S(0)=x_I(0)=0.15. Solid lines correspond to the values of the baseline model parameters given in Table 2. a–b Dashed lines correspond to double quarantine (ω_Q) and hospitalization (ω_H) rates c–d Dashed lines correspond to double quarantine violation (ν_Q) and hospital discharge (ν_H) rates