Autor según el artículo: Rodriguez, Pablo; Grana, Santiago; Alvarez-Leon, Eva Elisa; Battaglini, Manuela; Darias, Francisco Javier; Hernan, Miguel A; Lopez, Raquel; Llaneza, Paloma; Ramirez-Rubio, Oriana; Romani, Adriana; Suarez-Rodriguez, Berta; Sanchez-Monedero, Javier; Arenas, Alex; Lacasa, Lucas
Departamento: Enginyeria Informàtica i Matemàtiques
Autor/es de la URV: Arenas Moreno, Alejandro
Palabras clave: Young adult Virology Viral disease Turnaround time Surveys and questionnaires Spain Social behavior Smartphone Serinus canaria Sars-cov-2 Santa cruz de tenerife [(prv) canary islands] Questionnaire Procedures Privacy Prevention and control Patient compliance Pathogenicity Pandemics Pandemic Mobile applications Mobile application Middle aged Male Longitudinal study Longitudinal studies Interpersonal communication Informed consent Infectivity Humans Human Gomera Follow up Female Experimental study Epidemiology Epidemic Covid-19 Coronavirus disease 2019 Contact tracing Contact examination Canary islands Article Age distribution Adult Adolescent
Resumen: While Digital contact tracing (DCT) has been argued to be a valuable complement to manual tracing in the containment of COVID-19, no empirical evidence of its effectiveness is available to date. Here, we report the results of a 4-week population-based controlled experiment that took place in La Gomera (Canary Islands, Spain) between June and July 2020, where we assessed the epidemiological impact of the Spanish DCT app Radar Covid. After a substantial communication campaign, we estimate that at least 33% of the population adopted the technology and further showed relatively high adherence and compliance as well as a quick turnaround time. The app detects about 6.3 close-contacts per primary simulated infection, a significant percentage being contacts with strangers, although the spontaneous follow-up rate of these notified cases is low. Overall, these results provide experimental evidence of the potential usefulness of DCT during an epidemic outbreak in a real population.
Áreas temáticas: Zootecnia / recursos pesqueiros Saúde coletiva Química Psicología Planejamento urbano e regional / demografia Physics and astronomy (miscellaneous) Physics and astronomy (all) Odontología Nutrição Multidisciplinary sciences Multidisciplinary Medicina veterinaria Medicina iii Medicina ii Medicina i Materiais Matemática / probabilidade e estatística Interdisciplinar Geociências General physics and astronomy General medicine General chemistry General biochemistry,genetics and molecular biology Farmacia Engenharias iv Educação física Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência da computação Chemistry (miscellaneous) Chemistry (all) Biotecnología Biodiversidade Biochemistry, genetics and molecular biology (miscellaneous) Biochemistry, genetics and molecular biology (all) Astronomia / física Antropologia / arqueologia
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: alexandre.arenas@urv.cat
Identificador del autor: 0000-0003-0937-0334
Fecha de alta del registro: 2024-09-28
Volumen de revista: 12
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Nature Communications. 12 (1): 587-
Referencia de l'ítem segons les normes APA: Rodriguez, Pablo; Grana, Santiago; Alvarez-Leon, Eva Elisa; Battaglini, Manuela; Darias, Francisco Javier; Hernan, Miguel A; Lopez, Raquel; Llaneza, P (2021). A population-based controlled experiment assessing the epidemiological impact of digital contact tracing. Nature Communications, 12(1), 587-. DOI: 10.1038/s41467-020-20817-6
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2021
Tipo de publicación: Journal Publications
Repositori URV