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Rapid implementation of mobile technology for real-time epidemiology of COVID-19

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Science  19 Jun 2020:
Vol. 368, Issue 6497, pp. 1362-1367
DOI: 10.1126/science.abc0473

Article Information

vol. 368 no. 6497 1362-1367

PubMed: 
Print ISSN: 
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History: 
  • Received for publication April 2, 2020
  • Accepted for publication April 30, 2020
  • .

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Author Information

  1. David A. Drew1,*,
  2. Long H. Nguyen1,*,
  3. Claire J. Steves2,3,
  4. Cristina Menni2,
  5. Maxim Freydin2,
  6. Thomas Varsavsky4,
  7. Carole H. Sudre4,
  8. M. Jorge Cardoso4,
  9. Sebastien Ourselin4,
  10. Jonathan Wolf5,
  11. Tim D. Spector2,5,,
  12. Andrew T. Chan1,6,,,
  13. COPE Consortium§
  1. 1Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, 55 Fruit St., Boston, MA 02114, USA.
  2. 2Department of Twin Research and Genetic Epidemiology, King’s College London, Westminster Bridge Road, London SE1 7EH, UK.
  3. 3Department of Ageing and Health, Guys and St. Thomas’ NHS Foundation Trust, Lambeth Palace Road, London SE1 7EH, UK.
  4. 4School of Biomedical Engineering & Imaging Sciences, King’s College London, 1 Lambeth Palace Road, London SE1 7EU, UK.
  5. 5Zoe Global Limited, 164 Westminster Bridge Road, London SE1 7RW, UK.
  6. 6Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, 665 Huntington Ave., Boston, MA 02114, USA.
  1. Corresponding author. Email: achan{at}mgh.harvard.edu
    1. * These authors contributed equally to this work.

    2. These authors contributed equally to this work.

    • § COPE Consortium members and affiliations are listed in the supplementary materials.

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