TY - JOUR
T1 - Results from the centers for disease control and prevention's predict the 2013-2014 Influenza Season Challenge
AU - Biggerstaff, Matthew
AU - Alper, David
AU - Dredze, Mark
AU - Fox, Spencer
AU - Fung, Isaac Chun Hai
AU - Hickmann, Kyle S.
AU - Lewis, Bryan
AU - Rosenfeld, Roni
AU - Shaman, Jeffrey
AU - Tsou, Ming Hsiang
AU - Velardi, Paola
AU - Vespignani, Alessandro
AU - Finelli, Lyn
AU - Chandra, Priyadarshini
AU - Kaup, Hemchandra
AU - Krishnan, Ramesh
AU - Madhavan, Satish
AU - Markar, Ashirwad
AU - Pashley, Bryanne
AU - Paul, Michael
AU - Meyers, Lauren Ancel
AU - Eggo, Rosalind
AU - Henderson, Jette
AU - Ramakrishnan, Anurekha
AU - Scott, James
AU - Singh, Bismark
AU - Srinivasan, Ravi
AU - Bakach, Iurii
AU - Hao, Yi
AU - Schaible, Braydon J.
AU - Sexton, Jessica K.
AU - Del Valle, Sara Y.
AU - Deshpande, Alina
AU - Fairchild, Geoffrey
AU - Generous, Nicholas
AU - Priedhorsky, Reid
AU - Hickman, Kyle S.
AU - Hyman, James M.
AU - Brooks, Logan
AU - Farrow, David
AU - Hyun, Sangwon
AU - Tibshirani, Ryan J.
AU - Yang, Wan
AU - Allen, Christopher
AU - Aslam, Anoshé
AU - Nagel, Anna
AU - Stilo, Giovanni
AU - Basagni, Stefano
AU - Zhang, Qian
AU - Perra, Nicola
N1 - Publisher Copyright:
© 2016 The Author(s).
PY - 2016/7/22
Y1 - 2016/7/22
N2 - Background: Early insights into the timing of the start, peak, and intensity of the influenza season could be useful in planning influenza prevention and control activities. To encourage development and innovation in influenza forecasting, the Centers for Disease Control and Prevention (CDC) organized a challenge to predict the 2013-14 Unites States influenza season. Methods: Challenge contestants were asked to forecast the start, peak, and intensity of the 2013-2014 influenza season at the national level and at any or all Health and Human Services (HHS) region level(s). The challenge ran from December 1, 2013-March 27, 2014; contestants were required to submit 9 biweekly forecasts at the national level to be eligible. The selection of the winner was based on expert evaluation of the methodology used to make the prediction and the accuracy of the prediction as judged against the U.S. Outpatient Influenza-like Illness Surveillance Network (ILINet). Results: Nine teams submitted 13 forecasts for all required milestones. The first forecast was due on December 2, 2013; 3/13 forecasts received correctly predicted the start of the influenza season within one week, 1/13 predicted the peak within 1 week, 3/13 predicted the peak ILINet percentage within 1 %, and 4/13 predicted the season duration within 1 week. For the prediction due on December 19, 2013, the number of forecasts that correctly forecasted the peak week increased to 2/13, the peak percentage to 6/13, and the duration of the season to 6/13. As the season progressed, the forecasts became more stable and were closer to the season milestones. Conclusion: Forecasting has become technically feasible, but further efforts are needed to improve forecast accuracy so that policy makers can reliably use these predictions. CDC and challenge contestants plan to build upon the methods developed during this contest to improve the accuracy of influenza forecasts.
AB - Background: Early insights into the timing of the start, peak, and intensity of the influenza season could be useful in planning influenza prevention and control activities. To encourage development and innovation in influenza forecasting, the Centers for Disease Control and Prevention (CDC) organized a challenge to predict the 2013-14 Unites States influenza season. Methods: Challenge contestants were asked to forecast the start, peak, and intensity of the 2013-2014 influenza season at the national level and at any or all Health and Human Services (HHS) region level(s). The challenge ran from December 1, 2013-March 27, 2014; contestants were required to submit 9 biweekly forecasts at the national level to be eligible. The selection of the winner was based on expert evaluation of the methodology used to make the prediction and the accuracy of the prediction as judged against the U.S. Outpatient Influenza-like Illness Surveillance Network (ILINet). Results: Nine teams submitted 13 forecasts for all required milestones. The first forecast was due on December 2, 2013; 3/13 forecasts received correctly predicted the start of the influenza season within one week, 1/13 predicted the peak within 1 week, 3/13 predicted the peak ILINet percentage within 1 %, and 4/13 predicted the season duration within 1 week. For the prediction due on December 19, 2013, the number of forecasts that correctly forecasted the peak week increased to 2/13, the peak percentage to 6/13, and the duration of the season to 6/13. As the season progressed, the forecasts became more stable and were closer to the season milestones. Conclusion: Forecasting has become technically feasible, but further efforts are needed to improve forecast accuracy so that policy makers can reliably use these predictions. CDC and challenge contestants plan to build upon the methods developed during this contest to improve the accuracy of influenza forecasts.
KW - Forecasting
KW - Influenza
KW - Modeling
KW - Prediction
UR - http://www.scopus.com/inward/record.url?scp=84979000412&partnerID=8YFLogxK
U2 - 10.1186/s12879-016-1669-x
DO - 10.1186/s12879-016-1669-x
M3 - Article
SN - 1471-2334
VL - 16
JO - BMC Infectious Diseases
JF - BMC Infectious Diseases
IS - 1
M1 - 357
ER -