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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
American Physical Society
2021-08-01
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Series: | Physical Review Research |
Online Access: | http://doi.org/10.1103/PhysRevResearch.3.033128 |
_version_ | 1797210924453462016 |
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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. |
first_indexed | 2024-04-24T10:18:19Z |
format | Article |
id | doaj.art-5190b164486443fa9f2e915dbfbbf661 |
institution | Directory Open Access Journal |
issn | 2643-1564 |
language | English |
last_indexed | 2024-04-24T10:18:19Z |
publishDate | 2021-08-01 |
publisher | American Physical Society |
record_format | Article |
series | Physical Review Research |
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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