Forecasting influenza activity using self-adaptive AI model and multi-source data in Chongqing, China-Reference-Cited by-同舟云学术

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Forecasting influenza activity using self-adaptive AI model and multi-source data in Chongqing, China

Published:2019-09 Issue: Volume:47 Page:284-292
ISSN:2352-3964
Container-title:EBioMedicine
language:en
Short-container-title:EBioMedicine

Author:

Su Kun^ORCID,Xu Liang,Li Guanqiao,Ruan Xiaowen,Li Xian,Deng Pan,Li Xinmi,Li Qin,Chen Xianxian,Xiong Yu,Lu Shaofeng,Qi Li,Shen Chaobo,Tang Wenge,Rong Rong,Hong Boran,Ning Yi,Long Dongyan,Xu Jiaying,Shi Xuanling,Yang Zhihong,Zhang Qi,Zhuang Ziqi,Zhang Linqi,Xiao Jing,Li Yafei

Funder

Medical Research Key Project of Chongqing Municipal Health Commission

Chongqing Municipal Health Commission

First Affiliated Hospital of Chongqing Medical University

Banan Central Hospital

Children's Hospital of Chongqing Medical University

Qianjiang Central Hospital

Chongqing Three Gorges Central Hospital

Fuling Central Hospital and Yongchuan Hospital of Chongqing Medical University

Publisher

Elsevier BV

Subject

General Biochemistry, Genetics and Molecular Biology,General Medicine

Reference47 articles.

1. Estimated global mortality associated with the first 12 months of 2009 pandemic influenza A H1N1 virus circulation: a modelling study;Dawood;Lancet Infect Dis,2012

2. Influenza virus evolution, host adaptation, and pandemic formation;Taubenberger;Cell Host Microbe,2010

3. Estimates of global seasonal influenza-associated respiratory mortality: a modelling study;Iuliano;Lancet.,2018

4. Influenza;Nicholson;Lancet.,2003

5. Cloud-based electronic health records for real-time, region-specific influenza surveillance;Santillana;Sci Rep,2016

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