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Using viral load and epidemic dynamics to optimize pooled testing in resource-constrained settings.
Cleary, Brian; Hay, James A; Blumenstiel, Brendan; Harden, Maegan; Cipicchio, Michelle; Bezney, Jon; Simonton, Brooke; Hong, David; Senghore, Madikay; Sesay, Abdul K; Gabriel, Stacey; Regev, Aviv; Mina, Michael J.
Afiliação
  • Cleary B; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. bcleary@broadinstitute.org jhay@hsph.harvard.edu aregev@broadinstitute.org mmina@hsph.harvard.edu.
  • Hay JA; Centre for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA. bcleary@broadinstitute.org jhay@hsph.harvard.edu aregev@broadinstitute.org mmina@hsph.harvard.edu.
  • Blumenstiel B; Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
  • Harden M; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Cipicchio M; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Bezney J; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Simonton B; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Hong D; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Senghore M; Wharton Statistics, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Sesay AK; Centre for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
  • Gabriel S; Medical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, P.O. Box 273, Banjul, The Gambia.
  • Regev A; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Mina MJ; Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. bcleary@broadinstitute.org jhay@hsph.harvard.edu aregev@broadinstitute.org mmina@hsph.harvard.edu.
Sci Transl Med ; 13(589)2021 04 14.
Article em En | MEDLINE | ID: mdl-33619080
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Epidemias / COVID-19 Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Epidemias / COVID-19 Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article