Homophily in the adoption of digital proximity tracing apps shapes the evolution of epidemics

We study how homophily of human physical interactions affects the impact of digital proximity tracing on the epidemic evolution. Analytical and numerical results show the existence of different dynamical regimes with respect to the mixing rate between adopters and nonadopters, revealing a rich pheno...

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Main Authors: Giulio Burgio, Benjamin Steinegger, Giacomo Rapisardi, Alex Arenas
Format: Article
Language:English
Published: American Physical Society 2021-08-01
Series:Physical Review Research
Online Access:http://doi.org/10.1103/PhysRevResearch.3.033128
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author Giulio Burgio
Benjamin Steinegger
Giacomo Rapisardi
Alex Arenas
author_facet Giulio Burgio
Benjamin Steinegger
Giacomo Rapisardi
Alex Arenas
author_sort Giulio Burgio
collection DOAJ
description We study how homophily of human physical interactions affects the impact of digital proximity tracing on the epidemic evolution. Analytical and numerical results show the existence of different dynamical regimes with respect to the mixing rate between adopters and nonadopters, revealing a rich phenomenology in terms of the reproduction number as well as the attack rate. We corroborate our findings with Monte Carlo simulations on different real contact networks. Our results indicate that depending on infectivity and adoption, mixing between adopters can be beneficial as well as detrimental for disease control.
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spelling doaj.art-5190b164486443fa9f2e915dbfbbf6612024-04-12T17:12:38ZengAmerican Physical SocietyPhysical Review Research2643-15642021-08-013303312810.1103/PhysRevResearch.3.033128Homophily in the adoption of digital proximity tracing apps shapes the evolution of epidemicsGiulio BurgioBenjamin SteineggerGiacomo RapisardiAlex ArenasWe study how homophily of human physical interactions affects the impact of digital proximity tracing on the epidemic evolution. Analytical and numerical results show the existence of different dynamical regimes with respect to the mixing rate between adopters and nonadopters, revealing a rich phenomenology in terms of the reproduction number as well as the attack rate. We corroborate our findings with Monte Carlo simulations on different real contact networks. Our results indicate that depending on infectivity and adoption, mixing between adopters can be beneficial as well as detrimental for disease control.http://doi.org/10.1103/PhysRevResearch.3.033128
spellingShingle Giulio Burgio
Benjamin Steinegger
Giacomo Rapisardi
Alex Arenas
Homophily in the adoption of digital proximity tracing apps shapes the evolution of epidemics
Physical Review Research
title Homophily in the adoption of digital proximity tracing apps shapes the evolution of epidemics
title_full Homophily in the adoption of digital proximity tracing apps shapes the evolution of epidemics
title_fullStr Homophily in the adoption of digital proximity tracing apps shapes the evolution of epidemics
title_full_unstemmed Homophily in the adoption of digital proximity tracing apps shapes the evolution of epidemics
title_short Homophily in the adoption of digital proximity tracing apps shapes the evolution of epidemics
title_sort homophily in the adoption of digital proximity tracing apps shapes the evolution of epidemics
url http://doi.org/10.1103/PhysRevResearch.3.033128
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