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Early evidence of effectiveness of digital contact tracing for SARS-CoV-2 in Switzerland.
Salathé, Marcel; Althaus, Christian; Anderegg, Nanina; Antonioli, Daniele; Ballouz, Tala; Bugnon, Edouard; Capkun, Srdjan; Jackson, Dennis; Kim, Sang-Il; Larus, Jim; Low, Nicola; Lueks, Wouter; Menges, Dominik; Moullet, Cédric; Payer, Mathias; Riou, Julien; Stadler, Theresa; Troncoso, Carmela; Vayena, Effy; von Wyl, Viktor.
  • Salathé M; Digital Epidemiology Lab, Global Health Institute, School of Life Sciences, EPFL, Geneva, Switzerland / School of Computer and Communication Sciences, EPFL, Switzerland.
  • Althaus C; Institute of Social and Preventive Medicine, University of Bern, Switzerland; Interfaculty Platform for Data and Computational Science (INPUT), University of Bern, Switzerland.
  • Anderegg N; Institute of Social and Preventive Medicine, University of Bern, Switzerland; Division of infectious diseases, Federal Office of Public Health, Liebefeld, Switzerland.
  • Antonioli D; School of Computer and Communication Sciences, EPFL, Switzerland.
  • Ballouz T; Federal Office of Information Technology, Systems and Telecommunication, Bern, Switzerland.
  • Bugnon E; School of Computer and Communication Sciences, EPFL, Switzerland.
  • Capkun S; Department of Computer Science, ETH Zurich, Switzerland.
  • Jackson D; Department of Computer Science, ETH Zurich, Switzerland.
  • Kim SI; Federal Office of Public Health, Liebefeld, Switzerland.
  • Larus J; School of Computer and Communication Sciences, EPFL, Switzerland.
  • Low N; Institute of Social and Preventive Medicine, University of Bern, Switzerland.
  • Lueks W; School of Computer and Communication Sciences, EPFL, Switzerland.
  • Menges D; Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland.
  • Moullet C; Federal Office of Information Technology, Systems and Telecommunication, Bern, Switzerland.
  • Payer M; School of Computer and Communication Sciences, EPFL, Switzerland.
  • Riou J; Institute of Social and Preventive Medicine, University of Bern, Switzerland; Interfaculty Platform for Data and Computational Science (INPUT), University of Bern, Switzerland.
  • Stadler T; School of Computer and Communication Sciences, EPFL, Switzerland.
  • Troncoso C; School of Computer and Communication Sciences, EPFL, Switzerland.
  • Vayena E; Department of Health Sciences and Technology, Health Ethics and Policy Laboratory, ETH Zurich, Switzerland.
  • von Wyl V; Digital and Mobile Health Group, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland.
Swiss Med Wkly ; 150: w20457, 2020 12 14.
Article in English | MEDLINE | ID: covidwho-2270793
ABSTRACT
In the wake of the pandemic of coronavirus disease 2019 (COVID-19), contact tracing has become a key element of strategies to control the spread of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Given the rapid and intense spread of SARS-CoV-2, digital contact tracing has emerged as a potential complementary tool to support containment and mitigation efforts. Early modelling studies highlighted the potential of digital contact tracing to break transmission chains, and Google and Apple subsequently developed the Exposure Notification (EN) framework, making it available to the vast majority of smartphones. A growing number of governments have launched or announced EN-based contact tracing apps, but their effectiveness remains unknown. Here, we report early findings of the digital contact tracing app deployment in Switzerland. We demonstrate proof-of-principle that digital contact tracing reaches exposed contacts, who then test positive for SARS-CoV-2. This indicates that digital contact tracing is an effective complementary tool for controlling the spread of SARS-CoV-2. Continued technical improvement and international compatibility can further increase the efficacy, particularly also across country borders.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Contact Tracing / Disease Notification / Mobile Applications / Smartphone / COVID-19 Type of study: Experimental Studies / Observational study Limits: Humans Country/Region as subject: Europa Language: English Journal: Swiss Med Wkly Journal subject: Medicine Year: 2020 Document Type: Article Affiliation country: Smw.2020.20457

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Contact Tracing / Disease Notification / Mobile Applications / Smartphone / COVID-19 Type of study: Experimental Studies / Observational study Limits: Humans Country/Region as subject: Europa Language: English Journal: Swiss Med Wkly Journal subject: Medicine Year: 2020 Document Type: Article Affiliation country: Smw.2020.20457