Integrating Virtual and Physical Interactions through higher-order networks to control epidemics
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. • Higher-order framework with virtual and physical interactions for epidemic control. • Virtual interactions boost epidemic control, effectively bending epidemic waves. • Higher-order interactions in virtual platforms can significantly enhance epidemic control. • The alignment of virtual and physical interactions maximizes epidemic control effectiveness.
Authors
- Jesús Gómez‐Gardeñes (ORCID: https://orcid.org/0000-0001-5204-1937)
- Adriana Reyna-Lara
- Santiago Lamata-Otín (ORCID: https://orcid.org/0009-0004-0247-4792)
Institutions
- Universidad de Zaragoza (ES)
- Kobe University (JP)
- Tecnológico de Monterrey (MX)
Publication Details
- Journal
- Chaos Solitons & Fractals
- Published
- 2024-10-12
- DOI
- https://doi.org/10.1016/j.chaos.2024.115592
- Citations
- 4
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 1.58
Funders
- Ministerio de Ciencia e Innovación
- Gobierno de Aragón
- European Social Fund