Your browser doesn't support javascript.
loading
Collaborative efforts to forecast seasonal influenza in the United States, 2015-2016.
McGowan, Craig J; Biggerstaff, Matthew; Johansson, Michael; Apfeldorf, Karyn M; Ben-Nun, Michal; Brooks, Logan; Convertino, Matteo; Erraguntla, Madhav; Farrow, David C; Freeze, John; Ghosh, Saurav; Hyun, Sangwon; Kandula, Sasikiran; Lega, Joceline; Liu, Yang; Michaud, Nicholas; Morita, Haruka; Niemi, Jarad; Ramakrishnan, Naren; Ray, Evan L; Reich, Nicholas G; Riley, Pete; Shaman, Jeffrey; Tibshirani, Ryan; Vespignani, Alessandro; Zhang, Qian; Reed, Carrie.
Afiliación
  • McGowan CJ; Epidemiology and Prevention Branch, Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Biggerstaff M; Epidemiology and Prevention Branch, Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA. mbiggerstaff@cdc.gov.
  • Johansson M; Dengue Branch, Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
  • Apfeldorf KM; Arete Associates, Northridge, California, USA.
  • Ben-Nun M; Predictive Science, Inc., San Diego, California, USA.
  • Brooks L; Computer Science Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
  • Convertino M; Division of Media and Network Technologies and Division of Frontier Science, Graduate School of Information Science and Technology, Gi-CoRE Station for Big Data & Cybersecurity, Hokkaido University, Sapporo, Japan.
  • Erraguntla M; Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.
  • Farrow DC; Knowledge Based Systems, Inc., College Station, Texas, USA.
  • Freeze J; Computational Biology Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
  • Ghosh S; Knowledge Based Systems, Inc., College Station, Texas, USA.
  • Hyun S; Discovery Analytics Center, Virginia Tech University, Arlington, Virginia, USA.
  • Kandula S; Department of Statistics and Data Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
  • Lega J; Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA.
  • Liu Y; Department of Mathematics, University of Arizona, Tucson, Arizona, USA.
  • Michaud N; Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.
  • Morita H; Department of Statistics, University of California, Berkeley, Berkeley, California, USA.
  • Niemi J; Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA.
  • Ramakrishnan N; Department of Statistics, Iowa State University, Ames, Iowa, USA.
  • Ray EL; Discovery Analytics Center, Virginia Tech University, Arlington, Virginia, USA.
  • Reich NG; Department of Mathematics and Statistics, Mount Holyoke College, South Hadley, Massachusetts, USA.
  • Riley P; Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, Amherst, Massachusetts, USA.
  • Shaman J; Predictive Science, Inc., San Diego, California, USA.
  • Tibshirani R; Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA.
  • Vespignani A; Department of Statistics and Data Science, Machine Learning Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
  • Zhang Q; Northeastern University, Boston, Massachusetts, USA.
  • Reed C; Northeastern University, Boston, Massachusetts, USA.
Sci Rep ; 9(1): 683, 2019 01 24.
Article en En | MEDLINE | ID: mdl-30679458
Asunto(s)
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Modelos Estadísticos / Gripe Humana Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Sci Rep Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Modelos Estadísticos / Gripe Humana Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Sci Rep Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido