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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Main Authors:	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
Format:	article
Language:	EN
Published:	Nature Portfolio 2019
Subjects:	Science Q
Online Access:	https://doaj.org/article/e0111de3d99e4e6d901709e9646e9cf8
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id	oai: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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Technology to advance infectious disease forecasting for outbreak management

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