Multiscale influenza forecasting
Influenza forecasting in the United States is challenging and consequential, with the ability to improve the public health response. Here the authors show the performance of the multiscale flu forecasting model, Dante, that won the CDC’s 2018/19 national, regional and state flu forecasting challenge...
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Nature Portfolio
2021
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oai:doaj.org-article:0db49a9184444d2a95732ba48372ba742021-12-02T16:51:25ZMultiscale influenza forecasting10.1038/s41467-021-23234-52041-1723https://doaj.org/article/0db49a9184444d2a95732ba48372ba742021-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-23234-5https://doaj.org/toc/2041-1723Influenza forecasting in the United States is challenging and consequential, with the ability to improve the public health response. Here the authors show the performance of the multiscale flu forecasting model, Dante, that won the CDC’s 2018/19 national, regional and state flu forecasting challenges.Dave OsthusKelly R. MoranNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-11 (2021) |
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Science Q Dave Osthus Kelly R. Moran Multiscale influenza forecasting |
description |
Influenza forecasting in the United States is challenging and consequential, with the ability to improve the public health response. Here the authors show the performance of the multiscale flu forecasting model, Dante, that won the CDC’s 2018/19 national, regional and state flu forecasting challenges. |
format |
article |
author |
Dave Osthus Kelly R. Moran |
author_facet |
Dave Osthus Kelly R. Moran |
author_sort |
Dave Osthus |
title |
Multiscale influenza forecasting |
title_short |
Multiscale influenza forecasting |
title_full |
Multiscale influenza forecasting |
title_fullStr |
Multiscale influenza forecasting |
title_full_unstemmed |
Multiscale influenza forecasting |
title_sort |
multiscale influenza forecasting |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/0db49a9184444d2a95732ba48372ba74 |
work_keys_str_mv |
AT daveosthus multiscaleinfluenzaforecasting AT kellyrmoran multiscaleinfluenzaforecasting |
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1718382960726507520 |