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An open repository of real-time COVID-19 indicators.
Reinhart, Alex; Brooks, Logan; Jahja, Maria; Rumack, Aaron; Tang, Jingjing; Agrawal, Sumit; Al Saeed, Wael; Arnold, Taylor; Basu, Amartya; Bien, Jacob; Cabrera, Ángel A; Chin, Andrew; Chua, Eu Jing; Clark, Brian; Colquhoun, Sarah; DeFries, Nat; Farrow, David C; Forlizzi, Jodi; Grabman, Jed; Gratzl, Samuel; Green, Alden; Haff, George; Han, Robin; Harwood, Kate; Hu, Addison J; Hyde, Raphael; Hyun, Sangwon; Joshi, Ananya; Kim, Jimi; Kuznetsov, Andrew; La Motte-Kerr, Wichada; Lee, Yeon Jin; Lee, Kenneth; Lipton, Zachary C; Liu, Michael X; Mackey, Lester; Mazaitis, Kathryn; McDonald, Daniel J; McGuinness, Phillip; Narasimhan, Balasubramanian; O'Brien, Michael P; Oliveira, Natalia L; Patil, Pratik; Perer, Adam; Politsch, Collin A; Rajanala, Samyak; Rucker, Dawn; Scott, Chris; Shah, Nigam H; Shankar, Vishnu.
Afiliación
  • Reinhart A; Department of Statistics & Data Science, Carnegie Mellon University, Pittsburgh, PA 15213; areinhar@stat.cmu.edu.
  • Brooks L; Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213.
  • Jahja M; Department of Statistics & Data Science, Carnegie Mellon University, Pittsburgh, PA 15213.
  • Rumack A; Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213.
  • Tang J; Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213.
  • Agrawal S; Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA 15213.
  • Al Saeed W; Google.org Fellows, Google LLC, Mountain View, CA 94043.
  • Arnold T; Computer Science Department, Carnegie Mellon University, Pittsburgh, PA 15213.
  • Basu A; Linguistics Program, University of Richmond, Richmond, VA 23173.
  • Bien J; Information Networking Institute, Carnegie Mellon University, Pittsburgh, PA 15213.
  • Cabrera ÁA; Department of Data Sciences and Operations, University of Southern California, Los Angeles, CA 90089.
  • Chin A; Human-Computer Interaction Institute, Carnegie Mellon University, Pittsburgh, PA 15213.
  • Chua EJ; Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213.
  • Clark B; Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213.
  • Colquhoun S; Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213.
  • DeFries N; Google.org Fellows, Google LLC, Mountain View, CA 94043.
  • Farrow DC; Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213.
  • Forlizzi J; Google.org Fellows, Google LLC, Mountain View, CA 94043.
  • Grabman J; Human-Computer Interaction Institute, Carnegie Mellon University, Pittsburgh, PA 15213.
  • Gratzl S; Google.org Fellows, Google LLC, Mountain View, CA 94043.
  • Green A; Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213.
  • Haff G; Department of Statistics & Data Science, Carnegie Mellon University, Pittsburgh, PA 15213.
  • Han R; Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213.
  • Harwood K; Human-Computer Interaction Institute, Carnegie Mellon University, Pittsburgh, PA 15213.
  • Hu AJ; Google.org Fellows, Google LLC, Mountain View, CA 94043.
  • Hyde R; Department of Statistics & Data Science, Carnegie Mellon University, Pittsburgh, PA 15213.
  • Hyun S; Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213.
  • Joshi A; Google.org Fellows, Google LLC, Mountain View, CA 94043.
  • Kim J; Department of Data Sciences and Operations, University of Southern California, Los Angeles, CA 90089.
  • Kuznetsov A; Computer Science Department, Carnegie Mellon University, Pittsburgh, PA 15213.
  • La Motte-Kerr W; School of Natural Sciences and Mathematics, University of Texas at Dallas, Richardson, TX 75080.
  • Lee YJ; Human-Computer Interaction Institute, Carnegie Mellon University, Pittsburgh, PA 15213.
  • Lee K; Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213.
  • Lipton ZC; College of Fine Arts, Carnegie Mellon University, Pittsburgh, PA 15213.
  • Liu MX; Department of Psychology, Carnegie Mellon University, Pittsburgh, PA 15213.
  • Mackey L; Department of Statistics, University of California, Davis, CA 95616.
  • Mazaitis K; Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213.
  • McDonald DJ; Human-Computer Interaction Institute, Carnegie Mellon University, Pittsburgh, PA 15213.
  • McGuinness P; Microsoft Research New England, Cambridge, MA 02142.
  • Narasimhan B; Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213.
  • O'Brien MP; Department of Statistics, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
  • Oliveira NL; Google.org Fellows, Google LLC, Mountain View, CA 94043.
  • Patil P; Department of Statistics, Stanford University, Stanford, CA 94305.
  • Perer A; Department of Biomedical Data Science, Stanford University, Stanford, CA 94305.
  • Politsch CA; Google.org Fellows, Google LLC, Mountain View, CA 94043.
  • Rajanala S; Department of Statistics & Data Science, Carnegie Mellon University, Pittsburgh, PA 15213.
  • Rucker D; Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213.
  • Scott C; Department of Statistics & Data Science, Carnegie Mellon University, Pittsburgh, PA 15213.
  • Shah NH; Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213.
  • Shankar V; Human-Computer Interaction Institute, Carnegie Mellon University, Pittsburgh, PA 15213.
Proc Natl Acad Sci U S A ; 118(51)2021 12 21.
Article en En | MEDLINE | ID: mdl-34903654
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Indicadores de Salud / Bases de Datos Factuales / COVID-19 Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2021 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Indicadores de Salud / Bases de Datos Factuales / COVID-19 Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2021 Tipo del documento: Article