Trade-offs between individual and ensemble forecasts of an emerging infectious disease
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 epidem...
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Nature Portfolio
2021
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oai:doaj.org-article:c817814baca3456fbcbefb36156a64892021-12-02T17:41:19ZTrade-offs between individual and ensemble forecasts of an emerging infectious disease10.1038/s41467-021-25695-02041-1723https://doaj.org/article/c817814baca3456fbcbefb36156a64892021-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-25695-0https://doaj.org/toc/2041-1723Newly 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.Rachel J. OidtmanElisa OmodeiMoritz U. G. KraemerCarlos A. Castañeda-OrjuelaErica Cruz-RiveraSandra Misnaza-CastrillónMyriam Patricia CifuentesLuz Emilse RinconViviana CañonPedro de AlarconGuido EspañaJohn H. HuberSarah C. HillChristopher M. BarkerMichael A. JohanssonCarrie A. ManoreRobert C. Reiner, Jr.Isabel Rodriguez-BarraquerAmir S. SirajEnrique Frias-MartinezManuel García-HerranzT. Alex PerkinsNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-11 (2021) |
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Science Q 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 Trade-offs between individual and ensemble forecasts of an emerging infectious disease |
description |
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. |
format |
article |
author |
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 |
author_facet |
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 |
author_sort |
Rachel J. Oidtman |
title |
Trade-offs between individual and ensemble forecasts of an emerging infectious disease |
title_short |
Trade-offs between individual and ensemble forecasts of an emerging infectious disease |
title_full |
Trade-offs between individual and ensemble forecasts of an emerging infectious disease |
title_fullStr |
Trade-offs between individual and ensemble forecasts of an emerging infectious disease |
title_full_unstemmed |
Trade-offs between individual and ensemble forecasts of an emerging infectious disease |
title_sort |
trade-offs between individual and ensemble forecasts of an emerging infectious disease |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/c817814baca3456fbcbefb36156a6489 |
work_keys_str_mv |
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