一种数据驱动的动态新型流行病传播率的提出及其在2019-nCoV疫情中的应用(英文)

被引:21
作者
黄锷 [1 ,2 ]
乔方利 [1 ,3 ,4 ]
机构
[1] First Institute of Oceanography, Ministry of Natural Resources of China
[2] Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources of China
[3] Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology
[4] National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application
关键词
流行病传播; 数据驱动;
D O I
暂无
中图分类号
R181 [流行病学基本理论与方法]; G206 [传播理论];
学科分类号
摘要
<正>Ever since the first report of the discovery of an unknown novel coronavirus that had caused pneumonia in Wuhan, China, had filed to WHO by China, on December 31, 2019, the government had
引用
收藏
页码:425 / 427
页数:3
相关论文
共 7 条
[1]  
Major advances in studies of the physical geography and living environment of China during the past 70 years and future prospects[J]. Fahu CHEN,Bojie FU,Jun XIA,Duo WU,Shaohong WU,Yili ZHANG,Hang SUN,Yu LIU,Xiaomin FANG,Boqiang QIN,Xin LI,Tingjun ZHANG,Baoyuan LIU,Zhibao DONG,Shugui HOU,Lide TIAN,Baiqing XU,Guanghui DONG,Jingyun ZHENG,Wei YANG,Xin WANG,Zaijun LI,Fei Wang,Zhenbo HU,Jie WANG,Jianbao LIU,Jianhui CHEN,Wei HUANG,Juzhi HOU,Qiufang CAI,Hao LONG,Ming JIANG,Yaxian HU,Xiaoming FENG,Xinggu
[2]  
Climate change and plague history in Europe[J]. Ricci P.H.YUE,Harry F.LEE.Science China(Earth Sciences). 2018(02)
[3]   Understanding past human-environment interaction from an interdisciplinary perspective [J].
Guanghui Dong .
ScienceBulletin, 2018, 63 (16) :1023-1024
[4]  
Epidemic transition of environmental health risk during China’s urbanization[J] . Miaomiao Liu,Xingyu Liu,Yining Huang,Zongwei Ma,Jun Bi.Science Bulletin . 2017 (2)
[5]  
Wave–turbulence interaction-induced vertical mixing and its effects in ocean and climate models[J] . Qiao Fangli,Yuan Yeli,Deng Jia,Dai Dejun,Song Zhenya.Philosophical Transactions of the Royal Society A . 2016 (2065)
[6]  
Influence of extreme weather and meteorological anomalies on outbreaks of influenza A (H1N1)[J] . Hong Xiao,HuaiYu Tian,XiaoLing Lin,LiDong Gao,XiangYu Dai,XiXing Zhang,BiYun Chen,Jian Zhao,JingZhe Xu.Chinese Science Bulletin . 2013 (7)
[7]   The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis [J].
Huang, NE ;
Shen, Z ;
Long, SR ;
Wu, MLC ;
Shih, HH ;
Zheng, QN ;
Yen, NC ;
Tung, CC ;
Liu, HH .
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 1998, 454 (1971) :903-995