Autor según el artículo: Bianconi, Ginestra; Sun, Hanlin; Rapisardi, Giacomo; Arenas, Alex;

Departamento: Enginyeria Informàtica i Matemàtiques

Autor/es de la URV: Arenas Moreno, Alejandro

Palabras clave: Theoretical approach Solvents Networks Monte carlo methods Mobile apps Message passing High-degree nodes Heterogeneous networks Epidemiology Epidemic threshold Contact tracing Complex Analytical results Adoption level

Resumen: With the hit of new pandemic threats, scientific frameworks are needed to understand the unfolding of the epidemic. The use of mobile apps that are able to trace contacts is of utmost importance in order to control new infected cases and contain further propagation. Here we present a theoretical approach using both percolation and message-passing techniques, to the role of contact tracing, in mitigating an epidemic wave. We show how the increase of the app adoption level raises the value of the epidemic threshold, which is eventually maximized when high-degree nodes are preferentially targeted. Analytical results are compared with extensive Monte Carlo simulations showing good agreement for both homogeneous and heterogeneous networks. These results are important to quantify the level of adoption needed for contact-tracing apps to be effective in mitigating an epidemic.

Áreas temáticas: Physics, multidisciplinary Physics and astronomy (miscellaneous) Physics and astronomy (all)

Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/

Direcció de correo del autor: alexandre.arenas@urv.cat

Identificador del autor: 0000-0003-0937-0334

Fecha de alta del registro: 2023-08-05

Versión del articulo depositado: info:eu-repo/semantics/publishedVersion

Enlace a la fuente original: https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.3.L012014

URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/

Referencia al articulo segun fuente origial: Physical Review Research. 3 (1):

Referencia de l'ítem segons les normes APA: Bianconi, Ginestra; Sun, Hanlin; Rapisardi, Giacomo; Arenas, Alex; (2021). Message-passing approach to epidemic tracing and mitigation with apps. Physical Review Research, 3(1), -. DOI: 10.1103/PhysRevResearch.3.L012014

DOI del artículo: 10.1103/PhysRevResearch.3.L012014

Entidad: Universitat Rovira i Virgili

Año de publicación de la revista: 2021

Tipo de publicación: Journal Publications