000129629 001__ 129629
000129629 005__ 20241125101124.0
000129629 0247_ $$2doi$$a10.3389/fpubh.2023.1266989
000129629 0248_ $$2sideral$$a135882
000129629 037__ $$aART-2023-135882
000129629 041__ $$aeng
000129629 100__ $$aFosch, Ariadna
000129629 245__ $$aCharacterizing the role of human behavior in the effectiveness of contact-tracing applications
000129629 260__ $$c2023
000129629 5060_ $$aAccess copy available to the general public$$fUnrestricted
000129629 5203_ $$aIntroduction: Although numerous countries relied on contact-tracing (CT) applications as an epidemic control measure against the COVID-19 pandemic, the debate around their effectiveness is still open. Most studies indicate that very high levels of adoption are required to stop disease progression, placing the main interest of policymakers in promoting app adherence. However, other factors of human behavior, like delays in adherence or heterogeneous compliance, are often disregarded.
Methods: To characterize the impact of human behavior on the effectiveness of CT apps we propose a multilayer network model reflecting the co-evolution of an epidemic outbreak and the app adoption dynamics over a synthetic population generated from survey data. The model was initialized to produce epidemic outbreaks resembling the first wave of the COVID-19 pandemic and was used to explore the impact of different changes in behavioral features in peak incidence and maximal prevalence.
Results: The results corroborate the relevance of the number of users for the effectiveness of CT apps but also highlight the need for early adoption and, at least, moderate levels of compliance, which are factors often not considered by most policymakers.
Discussion: The insight obtained was used to identify a bottleneck in the implementation of several apps, such as the Spanish CT app, where we hypothesize that a simplification of the reporting system could result in increased effectiveness through a rise in the levels of compliance.
000129629 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FEDER/E36-20R$$9info:eu-repo/grantAgreement/ES/MICINN/PID2020-115800GB-I00$$9info:eu-repo/grantAgreement/ES/MICINN/RYC2021-033226-I
000129629 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000129629 590__ $$a3.0$$b2023
000129629 592__ $$a0.895$$b2023
000129629 591__ $$aPUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH$$b115 / 408 = 0.282$$c2023$$dQ2$$eT1
000129629 593__ $$aPublic Health, Environmental and Occupational Health$$c2023$$dQ1
000129629 591__ $$aPUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH$$b115 / 408 = 0.282$$c2023$$dQ2$$eT1
000129629 594__ $$a4.8$$b2023
000129629 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000129629 700__ $$0(orcid)0000-0002-1192-8707$$aAleta, Alberto$$uUniversidad de Zaragoza
000129629 700__ $$0(orcid)0000-0002-0895-1893$$aMoreno, Yamir$$uUniversidad de Zaragoza
000129629 7102_ $$12004$$2405$$aUniversidad de Zaragoza$$bDpto. Física Teórica$$cÁrea Física Teórica
000129629 773__ $$g11 (2023), 1-12$$pFront. public health.$$tFrontiers in public health$$x2296-2565
000129629 8564_ $$s1910357$$uhttps://zaguan.unizar.es/record/129629/files/texto_completo.pdf$$yVersión publicada
000129629 8564_ $$s2256930$$uhttps://zaguan.unizar.es/record/129629/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000129629 909CO $$ooai:zaguan.unizar.es:129629$$particulos$$pdriver
000129629 951__ $$a2024-11-22-11:57:12
000129629 980__ $$aARTICLE