Author, as appears in the article.: Reyna-Lara, Adriana; Soriano-Panos, David; Gomez, Sergio; Granell, Clara; Matamalas, Joan T.; Steinegger, Benjamin; Arenas, Alex; Gomez-Gardenes, Jesus;

Department: Enginyeria Informàtica i Matemàtiques

URV's Author/s: Arenas Moreno, Alejandro / Gómez Jiménez, Sergio / Matamalas Llodrà, Joan Tomàs / Steinegger, Benjamin Franz Josef

Keywords: Viruses Transmission chains Reproduction numbers Quantitative result Network topology Economics Economic and social effects Economic activities Dynamical process Diseases Disease control Covid-19 Compartmental model Cell proliferation Analytical expressions

Abstract: After the blockade that many nations suffered to stop the growth of the incidence curve of COVID-19 during the first half of 2020, they face the challenge of resuming their social and economic activity. The rapid airborne transmissibility of SARS-CoV-2, and the absence of a vaccine, calls for active containment measures to avoid the propagation of transmission chains. The best strategy to date, popularly known as test-track-treat (TTT), consists in testing the population for diagnosis, tracking the contacts of those infected, and treating by quarantine all these cases. The dynamical process that better describes the combined action of the former mechanisms is that of a contagion process that competes with the spread of the pathogen, cutting off potential contagion pathways. Here we propose a compartmental model that couples the dynamics of the infection with the contact tracing and isolation of cases. We develop an analytical expression for the effective case reproduction number R-c(t) that reveals the role of contact tracing in the mitigation and suppression of the epidemics. We show that there is a trade-off between the infection propagation and the isolation of cases. If the isolation is limited to symptomatic individuals only, the incidence curve can be flattened but not bent. However, if contact tracing is applied to asymptomatic individuals too, the strategy can bend the curve and suppress the epidemics. Quantitative results are dependent on the network topology. We quantify the most important indicator of the effectiveness of contact tracing, namely, its capacity to reverse the increasing tendency of the epidemic curve, causing its bending.

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: joantomas.matamalas@urv.cat alexandre.arenas@urv.cat sergio.gomez@urv.cat benjamin.steinegger@estudiants.urv.cat

Author identifier: 0000-0002-7563-9269 0000-0003-0937-0334 0000-0003-1820-0062 0000-0002-0723-1536

Record's date: 2023-08-05

Papper version: info:eu-repo/semantics/publishedVersion

Link to the original source: https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.3.013163

Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/

Papper original source: Physical Review Research. 3 (1):

APA: Reyna-Lara, Adriana; Soriano-Panos, David; Gomez, Sergio; Granell, Clara; Matamalas, Joan T.; Steinegger, Benjamin; Arenas, Alex; Gomez-Gardenes, Jesu (2021). Virus spread versus contact tracing: Two competing contagion processes. Physical Review Research, 3(1), -. DOI: 10.1103/PhysRevResearch.3.013163

Article's DOI: 10.1103/PhysRevResearch.3.013163

Entity: Universitat Rovira i Virgili

Journal publication year: 2021

Publication Type: Journal Publications