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Digital technologies in the public-health response to COVID-19.
Budd, Jobie; Miller, Benjamin S; Manning, Erin M; Lampos, Vasileios; Zhuang, Mengdie; Edelstein, Michael; Rees, Geraint; Emery, Vincent C; Stevens, Molly M; Keegan, Neil; Short, Michael J; Pillay, Deenan; Manley, Ed; Cox, Ingemar J; Heymann, David; Johnson, Anne M; McKendry, Rachel A.
  • Budd J; London Centre for Nanotechnology, University College London, London, UK.
  • Miller BS; Division of Medicine, University College London, London, UK.
  • Manning EM; London Centre for Nanotechnology, University College London, London, UK.
  • Lampos V; London Centre for Nanotechnology, University College London, London, UK.
  • Zhuang M; Department of Computer Science, University College London, London, UK.
  • Edelstein M; The Centre for Advanced Spatial Analysis, University College London, London, UK.
  • Rees G; Centre on Global Security, Chatham House, London, UK.
  • Emery VC; Faculty of Life Sciences, University College London, London, UK.
  • Stevens MM; Department of Microbial Sciences, University of Surrey, Guildford, UK.
  • Keegan N; Department of Materials and Department of Bioengineering, Imperial College London, London, UK.
  • Short MJ; Translational and Clinical Research Institute, Newcastle University, Newcastle, UK.
  • Pillay D; Department for International Trade, University College London, London, UK.
  • Manley E; Division of Infection and Immunity, University College London, London, UK.
  • Cox IJ; School of Geography, University of Leeds, Leeds, UK.
  • Heymann D; Department of Computer Science, University College London, London, UK.
  • Johnson AM; Department of Computer Science, University of Copenhagen, Copenhagen, Denmark.
  • McKendry RA; London School of Hygiene and Tropical Medicine, London, UK.
Nat Med ; 26(8): 1183-1192, 2020 08.
Article in English | MEDLINE | ID: covidwho-704642
ABSTRACT
Digital technologies are being harnessed to support the public-health response to COVID-19 worldwide, including population surveillance, case identification, contact tracing and evaluation of interventions on the basis of mobility data and communication with the public. These rapid responses leverage billions of mobile phones, large online datasets, connected devices, relatively low-cost computing resources and advances in machine learning and natural language processing. This Review aims to capture the breadth of digital innovations for the public-health response to COVID-19 worldwide and their limitations, and barriers to their implementation, including legal, ethical and privacy barriers, as well as organizational and workforce barriers. The future of public health is likely to become increasingly digital, and we review the need for the alignment of international strategies for the regulation, evaluation and use of digital technologies to strengthen pandemic management, and future preparedness for COVID-19 and other infectious diseases.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Population Surveillance / Public Health / Coronavirus Infections / Pandemics Type of study: Experimental Studies / Observational study Limits: Humans Language: English Journal: Nat Med Journal subject: Molecular Biology / Medicine Year: 2020 Document Type: Article Affiliation country: S41591-020-1011-4

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Population Surveillance / Public Health / Coronavirus Infections / Pandemics Type of study: Experimental Studies / Observational study Limits: Humans Language: English Journal: Nat Med Journal subject: Molecular Biology / Medicine Year: 2020 Document Type: Article Affiliation country: S41591-020-1011-4