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A collaborative multiyear, multimodel assessment of seasonal influenza forecasting in the United States.
Reich, Nicholas G; Brooks, Logan C; Fox, Spencer J; Kandula, Sasikiran; McGowan, Craig J; Moore, Evan; Osthus, Dave; Ray, Evan L; Tushar, Abhinav; Yamana, Teresa K; Biggerstaff, Matthew; Johansson, Michael A; Rosenfeld, Roni; Shaman, Jeffrey.
Afiliación
  • Reich NG; Department of Biostatistics and Epidemiology, University of Massachusetts-Amherst, Amherst, MA 01003; nick@schoolph.umass.edu.
  • Brooks LC; Computer Science Department, Carnegie Mellon University, Pittsburgh, PA, 15213.
  • Fox SJ; Department of Integrative Biology, University of Texas at Austin, Austin, TX 78712.
  • Kandula S; Department of Environmental Health Sciences, Columbia University, New York, NY 10032.
  • McGowan CJ; Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA 30333.
  • Moore E; Department of Biostatistics and Epidemiology, University of Massachusetts-Amherst, Amherst, MA 01003.
  • Osthus D; Statistical Sciences Group, Los Alamos National Laboratory, Los Alamos, NM 87545.
  • Ray EL; Department of Mathematics and Statistics, Mount Holyoke College, South Hadley, MA 01075.
  • Tushar A; Department of Biostatistics and Epidemiology, University of Massachusetts-Amherst, Amherst, MA 01003.
  • Yamana TK; Department of Environmental Health Sciences, Columbia University, New York, NY 10032.
  • Biggerstaff M; Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA 30333.
  • Johansson MA; Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, PR 00920.
  • Rosenfeld R; Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213.
  • Shaman J; Department of Environmental Health Sciences, Columbia University, New York, NY 10032.
Proc Natl Acad Sci U S A ; 116(8): 3146-3154, 2019 02 19.
Article en En | MEDLINE | ID: mdl-30647115
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Modelos Estadísticos / Gripe Humana / Predicción Tipo de estudio: 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: 2019 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Modelos Estadísticos / Gripe Humana / Predicción Tipo de estudio: 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: 2019 Tipo del documento: Article Pais de publicación: Estados Unidos