Autor segons l'article: Bianconi, Ginestra; Sun, Hanlin; Rapisardi, Giacomo; Arenas, Alex
Departament: Enginyeria Informàtica i Matemàtiques
Autor/s de la URV: Arenas Moreno, Alejandro / Rapisardi, Giacomo
Paraules clau: 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
Resum: 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.
Àrees temàtiques: Physics, multidisciplinary Physics and astronomy (miscellaneous) Physics and astronomy (all)
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: alexandre.arenas@urv.cat
Identificador de l'autor: 0000-0003-0937-0334
Data d'alta del registre: 2024-09-28
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Enllaç font original: https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.3.L012014
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Physical Review Research. 3 (1): L012014-
Referència 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), L012014-. DOI: 10.1103/PhysRevResearch.3.L012014
DOI de l'article: 10.1103/PhysRevResearch.3.L012014
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2021
Tipus de publicació: Journal Publications
Repositori URV