129345 20240319081010.0 doi 10.1016/j.chaos.2022.112735 sideral 131371 ART-2022-131371 eng Wan, Jinming Multilayer networks with higher-order interaction reveal the impact of collective behavior on epidemic dynamics 2022 Access copy available to the general public Unrestricted The ongoing COVID-19 pandemic has inflicted tremendous economic and societal losses. In the absence of pharmaceutical interventions, the population behavioral response, including situational awareness and adherence to non-pharmaceutical intervention policies, has a significant impact on contagion dynamics. Game-theoretic models have been used to reproduce the concurrent evolution of behavioral responses and disease contagion, and social networks are critical platforms on which behavior imitation between social contacts, even dispersed in distant communities, takes place. Such joint contagion dynamics has not been sufficiently explored, which poses a challenge for policies aimed at containing the infection. In this study, we present a multi-layer network model to study contagion dynamics and behavioral adaptation. It comprises two physical layers that mimic the two solitary communities, and one social layer that encapsulates the social influence of agents from these two communities. Moreover, we adopt high-order interactions in the form of simplicial complexes on the social influence layer to delineate the behavior imitation of individual agents. This model offers a novel platform to articulate the interaction between physically isolated communities and the ensuing coevolution of behavioral change and spreading dynamics. The analytical insights harnessed therefrom provide compelling guidelines on coordinated policy design to enhance the preparedness for future pandemics. info:eu-repo/grantAgreement/ES/DGA/E36-20R info:eu-repo/grantAgreement/ES/DGA-FEDER/Una manera de hacer Europa info:eu-repo/grantAgreement/ES/MCIN-AEI-FEDER/PID2020-115800GB-I00 info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 7.8 2022 PHYSICS, MATHEMATICAL 1 / 56 = 0.018 2022 Q1 T1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS 3 / 107 = 0.028 2022 Q1 T1 PHYSICS, MULTIDISCIPLINARY 11 / 85 = 0.129 2022 Q1 T1 1.393 2022 Applied Mathematics 2022 Q1 Mathematical Physics 2022 Q1 Statistical and Nonlinear Physics 2022 Q1 Physics and Astronomy (miscellaneous) 2022 Q1 Mathematics (miscellaneous) 2022 Q1 11.8 2022 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Ichinose, Genki Small, Michael Sayama, Hiroki Moreno, Yamir Universidad de Zaragoza (orcid)0000-0002-0895-1893 Cheng, Changqing 2004 405 Universidad de Zaragoza Dpto. Física Teórica Área Física Teórica 164 (2022), 112735 Chaos, solitons fractals Chaos, Solitons and Fractals 0960-0779 1242033 http://zaguan.unizar.es/record/129345/files/texto_completo.pdf Postprint 2058427 http://zaguan.unizar.es/record/129345/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:129345 articulos driver 2024-03-18-15:02:08 ARTICLE