Multilayer networks describing urban interactions for building the digital twins of five cities in Spain
Resumen: Networks specifying who interacts with whom are crucial for mathematical models of epidemic spreading. In the context of emerging diseases, these networks have the potential to encode multiple interaction contexts where non-pharmaceutical interventions can be introduced, allowing for proper comparisons among different intervention strategies in a plethora of contexts. Consequently, a multilayer network describing interactions in a population and detailing their contexts in different layers constitutes an appropriate tool for such descriptions. These approaches however become challenging in large-scale systems such as cities, particularly in a framework where data protection policies are enhanced. In this work, we present a methodology to build such multilayer networks and make those corresponding to five Spanish cities available. Our work uses approaches informed by multiple available datasets to create realistic digital twins of the citizens and their interactions and provides a playground to explore different pandemic scenario in realistic settings for better preparedness.
Idioma: Inglés
DOI: 10.1038/s41597-025-05551-2
Año: 2025
Publicado en: SCIENTIFIC DATA 12, 1 (2025), 1227 [10 pp.]
ISSN: 2052-4463

Financiación: info:eu-repo/grantAgreement/ES/DGA/E36-23R-FENOL
Financiación: info:eu-repo/grantAgreement/ES/DGA/FONDO-C19-UZ-164255
Financiación: info:eu-repo/grantAgreement/ES/MICINN/PID2023-149409NB-I00
Financiación: info:eu-repo/grantAgreement/ES/MICINN/RYC2021-033226-I
Tipo y forma: Article (Published version)
Área (Departamento): Área Física Teórica (Dpto. Física Teórica)
Exportado de SIDERAL (2025-10-17-14:17:08)


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 Notice créée le 2025-08-18, modifiée le 2025-10-17


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