Your browser doesn't support javascript.
loading
Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the U.S.
Reich, Nicholas G; McGowan, Craig J; Yamana, Teresa K; Tushar, Abhinav; Ray, Evan L; Osthus, Dave; Kandula, Sasikiran; Brooks, Logan C; Crawford-Crudell, Willow; Gibson, Graham Casey; Moore, Evan; Silva, Rebecca; Biggerstaff, Matthew; Johansson, Michael A; Rosenfeld, Roni; Shaman, Jeffrey.
Affiliation
  • Reich NG; Department of Biostatistics and Epidemiology, University of Massachusetts-Amherst, Amherst, Massachusetts, United States of America.
  • McGowan CJ; Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
  • Yamana TK; Department of Environmental Health Sciences, Columbia University, New York, New York, United States of America.
  • Tushar A; School of Computer Science, University of Massachusetts-Amherst, Amherst, Massachusetts, United States of America.
  • Ray EL; Department of Mathematics and Statistics, Mount Holyoke College, South Hadley, Massachusetts, United States of America.
  • Osthus D; Statistical Sciences Group, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.
  • Kandula S; Department of Environmental Health Sciences, Columbia University, New York, New York, United States of America.
  • Brooks LC; Computer Science Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.
  • Crawford-Crudell W; Department of Mathematics and Statistics, Smith College, Northampton, Massachusetts, United States of America.
  • Gibson GC; Department of Biostatistics and Epidemiology, University of Massachusetts-Amherst, Amherst, Massachusetts, United States of America.
  • Moore E; Department of Biostatistics and Epidemiology, University of Massachusetts-Amherst, Amherst, Massachusetts, United States of America.
  • Silva R; Department of Mathematics and Statistics, Amherst College, Amherst, Massachusetts, United States of America.
  • Biggerstaff M; Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
  • Johansson MA; Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico, United States of America.
  • Rosenfeld R; Machine Learning Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.
  • Shaman J; Department of Environmental Health Sciences, Columbia University, New York, New York, United States of America.
PLoS Comput Biol ; 15(11): e1007486, 2019 11.
Article in En | MEDLINE | ID: mdl-31756193
Subject(s)
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Health context: 1_ASSA2030 / 2_ODS3 / 6_ODS3_enfermedades_notrasmisibles Database: MEDLINE Main subject: Influenza, Human / Forecasting Type of study: Incidence_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: America do norte Language: En Journal: PLoS Comput Biol Year: 2019 Document type: Article
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Health context: 1_ASSA2030 / 2_ODS3 / 6_ODS3_enfermedades_notrasmisibles Database: MEDLINE Main subject: Influenza, Human / Forecasting Type of study: Incidence_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: America do norte Language: En Journal: PLoS Comput Biol Year: 2019 Document type: Article