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; Nicholas G. Reich

doi:10.1038/s41467-019-11901-7

Nature Communications (Sep 2019)

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,
Nicholas G. Reich

Affiliations

Dylan B. George: BNext, IQT Labs
Wendy Taylor: Rockefeller Foundation
Jeffrey Shaman: Climate and Health Program, Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University
Caitlin Rivers: Center for Health Security, Johns Hopkins University
Brooke Paul: Taivara Ltd
Tara O’Toole: BNext, IQT Labs
Michael A. Johansson: Division of Vector-Borne Diseases, Centers for Disease Control and Prevention
Lynette Hirschman: The MITRE Corporation
Matthew Biggerstaff: Influenza Division, Centers for Disease Control and Prevention
Jason Asher: Leidos
Nicholas G. Reich: Department of Biostatistics and Epidemiology, University of Massachusetts-Amherst

DOI: https://doi.org/10.1038/s41467-019-11901-7
Journal volume & issue: Vol. 10, no. 1
pp. 1 – 4

Abstract

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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.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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