Literature DB >> 31558612

On the multibin logarithmic score used in the FluSight competitions.

Johannes Bracher1.   

Abstract

Year:  2019        PMID： 31558612      PMCID： PMC6800377          DOI： 10.1073/pnas.1912147116

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN： 0027-8424            Impact factor:   11.205


× No keyword cloud information.
  8 in total

1.  Near-term forecasts of influenza-like illness: An evaluation of autoregressive time series approaches.

Authors:  Sasikiran Kandula; Jeffrey Shaman
Journal:  Epidemics       Date:  2019-01-17       Impact factor: 4.396

2.  The future of influenza forecasts.

Authors:  Cécile Viboud; Alessandro Vespignani
Journal:  Proc Natl Acad Sci U S A       Date:  2019-02-08       Impact factor: 11.205

3.  Probabilistic forecasting in infectious disease epidemiology: the 13th Armitage lecture.

Authors:  Leonhard Held; Sebastian Meyer; Johannes Bracher
Journal:  Stat Med       Date:  2017-06-27       Impact factor: 2.373

4.  Collaborative efforts to forecast seasonal influenza in the United States, 2015-2016.

Authors:  Craig J McGowan; Matthew Biggerstaff; Michael Johansson; Karyn M Apfeldorf; Michal Ben-Nun; Logan Brooks; Matteo Convertino; Madhav Erraguntla; David C Farrow; John Freeze; Saurav Ghosh; Sangwon Hyun; Sasikiran Kandula; Joceline Lega; Yang Liu; Nicholas Michaud; Haruka Morita; Jarad Niemi; Naren Ramakrishnan; Evan L Ray; Nicholas G Reich; Pete Riley; Jeffrey Shaman; Ryan Tibshirani; Alessandro Vespignani; Qian Zhang; Carrie Reed
Journal:  Sci Rep       Date:  2019-01-24       Impact factor: 4.379

5.  Evaluation of mechanistic and statistical methods in forecasting influenza-like illness.

Authors:  Sasikiran Kandula; Teresa Yamana; Sen Pei; Wan Yang; Haruka Morita; Jeffrey Shaman
Journal:  J R Soc Interface       Date:  2018-07       Impact factor: 4.118

6.  Nonmechanistic forecasts of seasonal influenza with iterative one-week-ahead distributions.

Authors:  Logan C Brooks; David C Farrow; Sangwon Hyun; Ryan J Tibshirani; Roni Rosenfeld
Journal:  PLoS Comput Biol       Date:  2018-06-15       Impact factor: 4.475

7.  Even a good influenza forecasting model can benefit from internet-based nowcasts, but those benefits are limited.

Authors:  Dave Osthus; Ashlynn R Daughton; Reid Priedhorsky
Journal:  PLoS Comput Biol       Date:  2019-02-01       Impact factor: 4.475

8.  A collaborative multiyear, multimodel assessment of seasonal influenza forecasting in the United States.

Authors:  Nicholas G Reich; Logan C Brooks; Spencer J Fox; Sasikiran Kandula; Craig J McGowan; Evan Moore; Dave Osthus; Evan L Ray; Abhinav Tushar; Teresa K Yamana; Matthew Biggerstaff; Michael A Johansson; Roni Rosenfeld; Jeffrey Shaman
Journal:  Proc Natl Acad Sci U S A       Date:  2019-01-15       Impact factor: 11.205
  8 in total
  8 in total

1.  Reply to Bracher: Scoring probabilistic forecasts to maximize public health interpretability.

Authors:  Nicholas G Reich; Dave Osthus; Evan L Ray; Teresa K Yamana; Matthew Biggerstaff; Michael A Johansson; Roni Rosenfeld; Jeffrey Shaman
Journal:  Proc Natl Acad Sci U S A       Date:  2019-09-26       Impact factor: 11.205

2.  Improving probabilistic infectious disease forecasting through coherence.

Authors:  Graham Casey Gibson; Kelly R Moran; Nicholas G Reich; Dave Osthus
Journal:  PLoS Comput Biol       Date:  2021-01-06       Impact factor: 4.475

3.  Evaluating epidemic forecasts in an interval format.

Authors:  Johannes Bracher; Evan L Ray; Tilmann Gneiting; Nicholas G Reich
Journal:  PLoS Comput Biol       Date:  2021-02-12       Impact factor: 4.779

4.  Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the U.S.

Authors:  Nicholas G Reich; Craig J McGowan; Teresa K Yamana; Abhinav Tushar; Evan L Ray; Dave Osthus; Sasikiran Kandula; Logan C Brooks; Willow Crawford-Crudell; Graham Casey Gibson; Evan Moore; Rebecca Silva; Matthew Biggerstaff; Michael A Johansson; Roni Rosenfeld; Jeffrey Shaman
Journal:  PLoS Comput Biol       Date:  2019-11-22       Impact factor: 4.475

5.  Aggregating forecasts of multiple respiratory pathogens supports more accurate forecasting of influenza-like illness.

Authors:  Sen Pei; Jeffrey Shaman
Journal:  PLoS Comput Biol       Date:  2020-10-22       Impact factor: 4.475

6.  Toward the use of neural networks for influenza prediction at multiple spatial resolutions.

Authors:  Emily L Aiken; Andre T Nguyen; Cecile Viboud; Mauricio Santillana
Journal:  Sci Adv       Date:  2021-06-16       Impact factor: 14.136

7.  Fast and accurate influenza forecasting in the United States with Inferno.

Authors:  Dave Osthus
Journal:  PLoS Comput Biol       Date:  2022-01-31       Impact factor: 4.475

8.  Accurate influenza forecasts using type-specific incidence data for small geographic units.

Authors:  James Turtle; Pete Riley; Michal Ben-Nun; Steven Riley
Journal:  PLoS Comput Biol       Date:  2021-07-29       Impact factor: 4.475
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.