Technology to advance infectious disease forecasting for outbreak management

Forecasting is beginning to be integrated into decision-making processes for infectious disease outbreak response. We discuss how technologies could accelerate the adoption of forecasting among public health practitioners, improve epidemic management, save lives, and reduce the economic impact of ou...

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Autores principales: Dylan B. George, Wendy Taylor, Jeffrey Shaman, Caitlin Rivers, Brooke Paul, Tara O’Toole, Michael A. Johansson, Lynette Hirschman, Matthew Biggerstaff, Jason Asher, Nicholas G. Reich
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2019
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Acceso en línea:https://doaj.org/article/e0111de3d99e4e6d901709e9646e9cf8
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spelling oai:doaj.org-article:e0111de3d99e4e6d901709e9646e9cf82021-12-02T14:35:37ZTechnology to advance infectious disease forecasting for outbreak management10.1038/s41467-019-11901-72041-1723https://doaj.org/article/e0111de3d99e4e6d901709e9646e9cf82019-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-11901-7https://doaj.org/toc/2041-1723Forecasting is beginning to be integrated into decision-making processes for infectious disease outbreak response. We discuss how technologies could accelerate the adoption of forecasting among public health practitioners, improve epidemic management, save lives, and reduce the economic impact of outbreaks.Dylan B. GeorgeWendy TaylorJeffrey ShamanCaitlin RiversBrooke PaulTara O’TooleMichael A. JohanssonLynette HirschmanMatthew BiggerstaffJason AsherNicholas G. ReichNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-4 (2019)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Dylan B. George
Wendy Taylor
Jeffrey Shaman
Caitlin Rivers
Brooke Paul
Tara O’Toole
Michael A. Johansson
Lynette Hirschman
Matthew Biggerstaff
Jason Asher
Nicholas G. Reich
Technology to advance infectious disease forecasting for outbreak management
description Forecasting is beginning to be integrated into decision-making processes for infectious disease outbreak response. We discuss how technologies could accelerate the adoption of forecasting among public health practitioners, improve epidemic management, save lives, and reduce the economic impact of outbreaks.
format article
author Dylan B. George
Wendy Taylor
Jeffrey Shaman
Caitlin Rivers
Brooke Paul
Tara O’Toole
Michael A. Johansson
Lynette Hirschman
Matthew Biggerstaff
Jason Asher
Nicholas G. Reich
author_facet Dylan B. George
Wendy Taylor
Jeffrey Shaman
Caitlin Rivers
Brooke Paul
Tara O’Toole
Michael A. Johansson
Lynette Hirschman
Matthew Biggerstaff
Jason Asher
Nicholas G. Reich
author_sort Dylan B. George
title Technology to advance infectious disease forecasting for outbreak management
title_short Technology to advance infectious disease forecasting for outbreak management
title_full Technology to advance infectious disease forecasting for outbreak management
title_fullStr Technology to advance infectious disease forecasting for outbreak management
title_full_unstemmed Technology to advance infectious disease forecasting for outbreak management
title_sort technology to advance infectious disease forecasting for outbreak management
publisher Nature Portfolio
publishDate 2019
url https://doaj.org/article/e0111de3d99e4e6d901709e9646e9cf8
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