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Using viral load and epidemic dynamics to optimize pooled testing in resource-constrained settings

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Science Translational Medicine  14 Apr 2021:
Vol. 13, Issue 589, eabf1568
DOI: 10.1126/scitranslmed.abf1568

Article Information

vol. 13 no. 589

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History: 
  • Received for publication October 7, 2020
  • Accepted for publication February 10, 2021
  • .

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Author Information

  1. Brian Cleary1,*,,
  2. James A. Hay2,3,*,,
  3. Brendan Blumenstiel1,
  4. Maegan Harden1,
  5. Michelle Cipicchio1,
  6. Jon Bezney1,
  7. Brooke Simonton1,
  8. David Hong4,
  9. Madikay Senghore2,
  10. Abdul K. Sesay5,
  11. Stacey Gabriel1,
  12. Aviv Regev6,7,8,*, and
  13. Michael J. Mina1,2,3,9,*
  1. 1Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  2. 2Centre for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
  3. 3Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
  4. 4Wharton Statistics, University of Pennsylvania, Philadelphia, PA 19104, USA.
  5. 5Medical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, P.O. Box 273, Banjul, The Gambia.
  6. 6Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  7. 7Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.
  8. 8Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA.
  9. 9Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02120, USA.
  1. *Corresponding author. Email: bcleary{at}broadinstitute.org (B.C.); jhay{at}hsph.harvard.edu (J.A.H.); aregev{at}broadinstitute.org (A.R.); mmina{at}hsph.harvard.edu (M.J.M.)
  • These authors contributed equally to this work.

  • Present address: Genentech, 1 DNA Way, South San Francisco, CA 94080, USA.

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