Carballosa Calleja, AlejandroMussa Juane, MariamoPérez Muñuzuri, Alberto2021-02-012021-02-012021Carballosa, A., Mussa-Juane, M. & Muñuzuri, A.P. Incorporating social opinion in the evolution of an epidemic spread. Sci Rep 11, 1772 (2021). https://doi.org/10.1038/s41598-021-81149-z2045-2322http://hdl.handle.net/10347/24351The evolution of the COVID19 pandemic worldwide has shown that the most common and effective strategy to control it used worldwide involve imposing mobility constrains to the population. A determinant factor in the success of such policies is the cooperation of the population involved but this is something, at least, difficult to measure. In this manuscript, we propose a method to incorporate in epidemic models empirical data accounting for the society predisposition to cooperate with the mobility restriction policieseng© The Author(s) 2021. 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/Atribución 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/Biological physicsComputer modellingDifferential equationsDynamical systemsEpidemiologyStatistical physics, thermodynamics and nonlinear dynamicsjournal article10.1038/s41598-021-81149-zopen access