Author, as appears in the article.: Bianconi, Ginestra; Sun, Hanlin; Rapisardi, Giacomo; Arenas, Alex
Department: Enginyeria Informàtica i Matemàtiques
URV's Author/s: Arenas Moreno, Alejandro / Rapisardi, Giacomo
Keywords: 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
Abstract: 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.
Thematic Areas: Physics, multidisciplinary Physics and astronomy (miscellaneous) Physics and astronomy (all)
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: alexandre.arenas@urv.cat
Author identifier: 0000-0003-0937-0334
Record's date: 2024-09-28
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.3.L012014
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Physical Review Research. 3 (1): L012014-
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
Article's DOI: 10.1103/PhysRevResearch.3.L012014
Entity: Universitat Rovira i Virgili
Journal publication year: 2021
Publication Type: Journal Publications
Repositori URV