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

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

Seasonal influenza results in substantial annual morbidity and mortality in the United States and worldwide. Accurate forecasts of key features of influenza epidemics, such as the timing and severity of the peak incidence in a given season, can inform public health response to outbreaks. As part of...

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Bibliographic Details
Main 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
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-11-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1007486

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https://doi.org/10.1371/journal.pcbi.1007486

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