000145458 001__ 145458
000145458 005__ 20250923084436.0
000145458 0247_ $$2doi$$a10.1016/j.chaos.2024.115592
000145458 0248_ $$2sideral$$a140308
000145458 037__ $$aART-2024-140308
000145458 041__ $$aeng
000145458 100__ $$aLamata-Otín, Santiago$$uUniversidad de Zaragoza
000145458 245__ $$aIntegrating virtual and physical interactions through higher-order networks to control epidemics
000145458 260__ $$c2024
000145458 5060_ $$aAccess copy available to the general public$$fUnrestricted
000145458 5203_ $$aIn the context of our increasingly digitalized society, virtual interactions have become integral to daily communication, complementing traditional face-to-face interactions. These digital pathways, however, are often overlooked in the context of epidemic control, particularly in Digital Contact Tracing, where adoption rates of tailored wearable applications for this purpose remain suboptimal. This study elucidates the key role of the virtual environment in managing infectious disease outbreaks. We develop an integrated framework that combines various detection strategies to assess the efficacy of virtual tools in bending epidemic waves, analogous to conventional Contact Tracing approaches. Our analysis extends to the dynamics of higher-order interactions — characteristic of virtual platforms — and their contribution to epidemic control. Furthermore, we investigate the interplay between physical and virtual interactions, that aligned interactions optimize epidemic control in daily routine scenarios. Our findings underscore the critical role of virtual interactions in epidemic management, suggesting that current societal structures inherently support innovative detection and control strategies.
000145458 536__ $$9info:eu-repo/grantAgreement/ES/DGA/E36-23R-FENOL$$9info:eu-repo/grantAgreement/ES/MICINN/PID2020-113582GB-I00
000145458 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000145458 590__ $$a5.6$$b2024
000145458 592__ $$a1.184$$b2024
000145458 591__ $$aPHYSICS, MATHEMATICAL$$b1 / 61 = 0.016$$c2024$$dQ1$$eT1
000145458 593__ $$aApplied Mathematics$$c2024$$dQ1
000145458 591__ $$aMATHEMATICS, INTERDISCIPLINARY APPLICATIONS$$b7 / 136 = 0.051$$c2024$$dQ1$$eT1
000145458 593__ $$aMathematical Physics$$c2024$$dQ1
000145458 591__ $$aPHYSICS, MULTIDISCIPLINARY$$b17 / 114 = 0.149$$c2024$$dQ1$$eT1
000145458 593__ $$aStatistical and Nonlinear Physics$$c2024$$dQ1
000145458 593__ $$aPhysics and Astronomy (miscellaneous)$$c2024$$dQ1
000145458 593__ $$aMathematics (miscellaneous)$$c2024$$dQ1
000145458 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000145458 700__ $$aReyna-Lara, Adriana
000145458 700__ $$0(orcid)0000-0001-5204-1937$$aGómez-Gardeñes, Jesús$$uUniversidad de Zaragoza
000145458 7102_ $$12003$$2395$$aUniversidad de Zaragoza$$bDpto. Física Materia Condensa.$$cÁrea Física Materia Condensada
000145458 773__ $$g189, Part 1 (2024), 115592$$pChaos, solitons fractals$$tChaos, Solitons and Fractals$$x0960-0779
000145458 787__ $$tSocioPatterns datasets$$tWhatsApp data$$whttps://www.sociopatterns.org/datasets$$whttps://figshare.com/articles/dataset/WhatsApp_Data_Set/19785193
000145458 8564_ $$s2289245$$uhttps://zaguan.unizar.es/record/145458/files/texto_completo.pdf$$yVersión publicada
000145458 8564_ $$s2742430$$uhttps://zaguan.unizar.es/record/145458/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000145458 909CO $$ooai:zaguan.unizar.es:145458$$particulos$$pdriver
000145458 951__ $$a2025-09-22-14:47:15
000145458 980__ $$aARTICLE