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本文引用的文献

1
On the predictability of infectious disease outbreaks.传染病爆发的可预测性。
Nat Commun. 2019 Feb 22;10(1):898. doi: 10.1038/s41467-019-08616-0.
2
A collaborative multiyear, multimodel assessment of seasonal influenza forecasting in the United States.美国季节性流感预测的合作多年、多模型评估。
Proc Natl Acad Sci U S A. 2019 Feb 19;116(8):3146-3154. doi: 10.1073/pnas.1812594116. Epub 2019 Jan 15.
3
Summary results of the 2014-2015 DARPA Chikungunya challenge.2014-2015 年 DARPA 基孔肯雅热挑战赛的总结结果。
BMC Infect Dis. 2018 May 30;18(1):245. doi: 10.1186/s12879-018-3124-7.
4
Results from the second year of a collaborative effort to forecast influenza seasons in the United States.美国流感季节预测合作项目的第二年结果。
Epidemics. 2018 Sep;24:26-33. doi: 10.1016/j.epidem.2018.02.003. Epub 2018 Feb 24.
5
The RAPIDD ebola forecasting challenge: Synthesis and lessons learnt.RAPIDD 埃博拉预测挑战赛：综合分析及经验教训
Epidemics. 2018 Mar;22:13-21. doi: 10.1016/j.epidem.2017.08.002. Epub 2017 Aug 26.
6
The RAPIDD Ebola forecasting challenge: Model description and synthetic data generation.RAPIDD 埃博拉预测挑战赛：模型描述和合成数据生成。
Epidemics. 2018 Mar;22:3-12. doi: 10.1016/j.epidem.2017.09.001. Epub 2017 Sep 20.
7
Big Data for Infectious Disease Surveillance and Modeling.用于传染病监测与建模的大数据
J Infect Dis. 2016 Dec 1;214(suppl_4):S375-S379. doi: 10.1093/infdis/jiw400.
8
Enhancing disease surveillance with novel data streams: challenges and opportunities.利用新型数据流加强疾病监测：挑战与机遇
EPJ Data Sci. 2015;4(1). doi: 10.1140/epjds/s13688-015-0054-0. Epub 2015 Oct 16.
9
The Long-Term Safety, Public Health Impact, and Cost-Effectiveness of Routine Vaccination with a Recombinant, Live-Attenuated Dengue Vaccine (Dengvaxia): A Model Comparison Study.重组减毒活登革热疫苗（登革四价疫苗）常规接种的长期安全性、对公众健康的影响及成本效益：一项模型比较研究
PLoS Med. 2016 Nov 29;13(11):e1002181. doi: 10.1371/journal.pmed.1002181. eCollection 2016 Nov.
10
Results from the centers for disease control and prevention's predict the 2013-2014 Influenza Season Challenge.疾病控制与预防中心对2013 - 2014年流感季挑战的预测结果。
BMC Infect Dis. 2016 Jul 22;16:357. doi: 10.1186/s12879-016-1669-x.

The future of influenza forecasts.

作者信息

Viboud Cécile, Vespignani Alessandro

机构信息

Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD 20892;

Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA 02116.

出版信息

Proc Natl Acad Sci U S A. 2019 Feb 19;116(8):2802-2804. doi: 10.1073/pnas.1822167116. Epub 2019 Feb 8.

DOI:10.1073/pnas.1822167116
PMID:30737293
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6386701/
Abstract
摘要