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: George, Dylan B., Taylor, Wendy, Shaman, Jeffrey, Rivers, Caitlin, Paul, Brooke, O’Toole, Tara, Johansson, Michael A., Hirschman, Lynette, Biggerstaff, Matthew, Asher, Jason, Reich, Nicholas G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Comment
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6718692/
https://www.ncbi.nlm.nih.gov/pubmed/31477707
http://dx.doi.org/10.1038/s41467-019-11901-7
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author George, Dylan B.
Taylor, Wendy
Shaman, Jeffrey
Rivers, Caitlin
Paul, Brooke
O’Toole, Tara
Johansson, Michael A.
Hirschman, Lynette
Biggerstaff, Matthew
Asher, Jason
Reich, Nicholas G.
author_facet George, Dylan B.
Taylor, Wendy
Shaman, Jeffrey
Rivers, Caitlin
Paul, Brooke
O’Toole, Tara
Johansson, Michael A.
Hirschman, Lynette
Biggerstaff, Matthew
Asher, Jason
Reich, Nicholas G.
author_sort George, Dylan B.
collection PubMed
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.
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spelling pubmed-67186922019-09-04 Technology to advance infectious disease forecasting for outbreak management George, Dylan B. Taylor, Wendy Shaman, Jeffrey Rivers, Caitlin Paul, Brooke O’Toole, Tara Johansson, Michael A. Hirschman, Lynette Biggerstaff, Matthew Asher, Jason Reich, Nicholas G. Nat Commun Comment 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. Nature Publishing Group UK 2019-09-02 /pmc/articles/PMC6718692/ /pubmed/31477707 http://dx.doi.org/10.1038/s41467-019-11901-7 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Comment
George, Dylan B.
Taylor, Wendy
Shaman, Jeffrey
Rivers, Caitlin
Paul, Brooke
O’Toole, Tara
Johansson, Michael A.
Hirschman, Lynette
Biggerstaff, Matthew
Asher, Jason
Reich, Nicholas G.
Technology to advance infectious disease forecasting for outbreak management
title 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_short Technology to advance infectious disease forecasting for outbreak management
title_sort technology to advance infectious disease forecasting for outbreak management
topic Comment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6718692/
https://www.ncbi.nlm.nih.gov/pubmed/31477707
http://dx.doi.org/10.1038/s41467-019-11901-7
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