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Time to evaluate COVID-19 contact-tracing apps.
Colizza, Vittoria; Grill, Eva; Mikolajczyk, Rafael; Cattuto, Ciro; Kucharski, Adam; Riley, Steven; Kendall, Michelle; Lythgoe, Katrina; Bonsall, David; Wymant, Chris; Abeler-Dörner, Lucie; Ferretti, Luca; Fraser, Christophe.
  • Colizza V; INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, Paris, France.
  • Grill E; Tokyo Tech World Research Hub Initiative, Institute of Innovative Research, Tokyo Institute of Technology, Tokyo, Japan.
  • Mikolajczyk R; Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig Maximilian University of Munich, Munich, Germany.
  • Cattuto C; Institute for Medical Epidemiology, Biometrics and Informatics, Interdisciplinary Center for Health Sciences, Martin Luther University Halle-Wittenberg, Halle, Germany.
  • Kucharski A; University of Turin and ISI Foundation, Turin, Italy.
  • Riley S; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
  • Kendall M; MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.
  • Lythgoe K; Department of Statistics, University of Warwick, Warwick, UK.
  • Bonsall D; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Wymant C; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Abeler-Dörner L; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Ferretti L; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Fraser C; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Nat Med ; 27(3): 361-362, 2021 03.
Article in English | MEDLINE | ID: covidwho-1721549
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Contact Tracing / Mobile Applications / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Qualitative research Limits: Humans Language: English Journal: Nat Med Journal subject: Molecular Biology / Medicine Year: 2021 Document Type: Article Affiliation country: S41591-021-01236-6

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Contact Tracing / Mobile Applications / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Qualitative research Limits: Humans Language: English Journal: Nat Med Journal subject: Molecular Biology / Medicine Year: 2021 Document Type: Article Affiliation country: S41591-021-01236-6