Technology to advance infectious disease forecasting for outbreak management

Dylan B. George (), Wendy Taylor, Jeffrey Shaman, Caitlin Rivers, Brooke Paul, Tara O’Toole, Michael A. Johansson, Lynette Hirschman, Matthew Biggerstaff, Jason Asher and Nicholas G. Reich
Additional contact information
Dylan B. George: BNext, IQT Labs
Wendy Taylor: Rockefeller Foundation
Jeffrey Shaman: Columbia University
Caitlin Rivers: Johns Hopkins University
Brooke Paul: Taivara Ltd
Tara O’Toole: BNext, IQT Labs
Michael A. Johansson: Centers for Disease Control and Prevention
Lynette Hirschman: The MITRE Corporation
Matthew Biggerstaff: Centers for Disease Control and Prevention
Jason Asher: Leidos
Nicholas G. Reich: University of Massachusetts-Amherst

Nature Communications, 2019, vol. 10, issue 1, 1-4

Abstract: 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.

Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.nature.com/articles/s41467-019-11901-7 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-11901-7

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-019-11901-7

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().