Your browser doesn't support javascript.
loading
Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing.
Ferretti, Luca; Wymant, Chris; Kendall, Michelle; Zhao, Lele; Nurtay, Anel; Abeler-Dörner, Lucie; Parker, Michael; Bonsall, David; Fraser, Christophe.
Afiliación
  • Ferretti L; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
  • Wymant C; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
  • Kendall M; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
  • Zhao L; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
  • Nurtay A; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
  • Abeler-Dörner L; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
  • Parker M; Wellcome Centre for Ethics and the Humanities and Ethox Centre, University of Oxford, Oxford, UK.
  • Bonsall D; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
  • Fraser C; Oxford University NHS Trust, University of Oxford, Oxford, UK.
Science ; 368(6491)2020 05 08.
Article en En | MEDLINE | ID: mdl-32234805
ABSTRACT
The newly emergent human virus SARS-CoV-2 (severe acute respiratory syndrome-coronavirus 2) is resulting in high fatality rates and incapacitated health systems. Preventing further transmission is a priority. We analyzed key parameters of epidemic spread to estimate the contribution of different transmission routes and determine requirements for case isolation and contact tracing needed to stop the epidemic. Although SARS-CoV-2 is spreading too fast to be contained by manual contact tracing, it could be controlled if this process were faster, more efficient, and happened at scale. A contact-tracing app that builds a memory of proximity contacts and immediately notifies contacts of positive cases can achieve epidemic control if used by enough people. By targeting recommendations to only those at risk, epidemics could be contained without resorting to mass quarantines ("lockdowns") that are harmful to society. We discuss the ethical requirements for an intervention of this kind.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neumonía Viral / Trazado de Contacto / Infecciones por Coronavirus / Teléfono Celular / Pandemias / Aplicaciones Móviles / Betacoronavirus Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Science Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neumonía Viral / Trazado de Contacto / Infecciones por Coronavirus / Teléfono Celular / Pandemias / Aplicaciones Móviles / Betacoronavirus Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Science Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido