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A population-based controlled experiment assessing the epidemiological impact of digital contact tracing.
Rodríguez, Pablo; Graña, Santiago; Alvarez-León, Eva Elisa; Battaglini, Manuela; Darias, Francisco Javier; Hernán, Miguel A; López, Raquel; Llaneza, Paloma; Martín, Maria Cristina; Ramirez-Rubio, Oriana; Romaní, Adriana; Suárez-Rodríguez, Berta; Sánchez-Monedero, Javier; Arenas, Alex; Lacasa, Lucas.
Afiliação
  • Rodríguez P; Member, Association for Computing Machinery (ACM), Barcelona, Spain.
  • Graña S; Secretaría de Estado de Digitalización e Inteligencia Artificial (SEDIA), Secretaría General de Administración Digital, Ministerio de Asuntos Económicos y Transformación Digital, Madrid, Spain.
  • Alvarez-León EE; Dirección General de Salud Pública, Servicio Canario de la Salud, Gobierno de Canarias, Las Palmas, Spain.
  • Battaglini M; Transparent Internet, DK-5370, Mesinge, Denmark.
  • Darias FJ; Dirección General de Salud Pública, Servicio Canario de la Salud, Gobierno de Canarias, Las Palmas, Spain.
  • Hernán MA; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA.
  • López R; Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA.
  • Llaneza P; Harvard-MIT Division of Health Sciences and Technology, Boston, MA, USA.
  • Martín MC; User Experience, INDRA, Alcobendas, Spain.
  • Ramirez-Rubio O; User Experience, INDRA, Alcobendas, Spain.
  • Suárez-Rodríguez B; Centro de Coordinación de Alertas y Emergencias Sanitarias. Dirección General de Salud Pública, Calidad e Innovación. Ministerio de Sanidad, Madrid, Spain.
  • Sánchez-Monedero J; Centro de Coordinación de Alertas y Emergencias Sanitarias. Dirección General de Salud Pública, Calidad e Innovación. Ministerio de Sanidad, Madrid, Spain.
  • Arenas A; Centro de Coordinación de Alertas y Emergencias Sanitarias. Dirección General de Salud Pública, Calidad e Innovación. Ministerio de Sanidad, Madrid, Spain.
  • Lacasa L; School of Journalism, Media and Culture, Cardiff University, Cardiff, CF101FS, UK.
Nat Commun ; 12(1): 587, 2021 01 26.
Article em En | MEDLINE | ID: mdl-33500407
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Busca de Comunicante / Cooperação do Paciente / Pandemias / Aplicativos Móveis / COVID-19 Tipo de estudo: Observational_studies Limite: Adolescent / Adult / Female / Humans / Male / Middle aged País/Região como assunto: Europa Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Busca de Comunicante / Cooperação do Paciente / Pandemias / Aplicativos Móveis / COVID-19 Tipo de estudo: Observational_studies Limite: Adolescent / Adult / Female / Humans / Male / Middle aged País/Região como assunto: Europa Idioma: En Ano de publicação: 2021 Tipo de documento: Article