Integrating virtual and physical interactions through higher-order networks to control epidemics

Lamata-Otín, Santiago (Universidad de Zaragoza) ; Reyna-Lara, Adriana ; Gómez-Gardeñes, Jesús (Universidad de Zaragoza)

Resumen: In 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.

Idioma: Inglés

DOI: 10.1016/j.chaos.2024.115592

Año: 2024

Publicado en: Chaos, Solitons and Fractals 189, Part 1 (2024), 115592
ISSN: 0960-0779

Factor impacto JCR: 5.6 (2024)

Categ. JCR: PHYSICS, MATHEMATICAL rank: 1 / 61 = 0.016 (2024) - Q1 - T1
Categ. JCR: MATHEMATICS, INTERDISCIPLINARY APPLICATIONS rank: 7 / 136 = 0.051 (2024) - Q1 - T1
Categ. JCR: PHYSICS, MULTIDISCIPLINARY rank: 17 / 114 = 0.149 (2024) - Q1 - T1

Factor impacto SCIMAGO: 1.184 - Applied Mathematics (Q1) - Mathematical Physics (Q1) - Statistical and Nonlinear Physics (Q1) - Physics and Astronomy (miscellaneous) (Q1) - Mathematics (miscellaneous) (Q1)

Financiación: info:eu-repo/grantAgreement/ES/DGA/E36-23R-FENOL
Financiación: info:eu-repo/grantAgreement/ES/MICINN/PID2020-113582GB-I00

Tipo y forma: Artículo (Versión definitiva)

Área (Departamento): Área Física Materia Condensada (Dpto. Física Materia Condensa.)

Dataset asociado: SocioPatterns datasets ( https://www.sociopatterns.org/datasets)