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Trade-offs between individual and ensemble forecasts of an emerging infectious disease

Authors :
Rachel J. Oidtman
Elisa Omodei
Moritz U. G. Kraemer
Carlos A. Castañeda-Orjuela
Erica Cruz-Rivera
Sandra Misnaza-Castrillón
Myriam Patricia Cifuentes
Luz Emilse Rincon
Viviana Cañon
Pedro de Alarcon
Guido España
John H. Huber
Sarah C. Hill
Christopher M. Barker
Michael A. Johansson
Carrie A. Manore
Robert C. Reiner, Jr.
Isabel Rodriguez-Barraquer
Amir S. Siraj
Enrique Frias-Martinez
Manuel García-Herranz
T. Alex Perkins
Source :
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Publication Year :
2021
Publisher :
Nature Portfolio, 2021.

Abstract

Newly emerged pathogens are inherently difficult to forecast, due to many unknowns about their biology early in an epidemic. Here, the authors assess forecasts of a suite of models during the Zika epidemic in Colombia, finding that the models that performed best changed over the course of the epidemic.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
12
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.817814baca3456fbcbefb36156a6489
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-021-25695-0