Quantifying the uncertainty of CovidSim

被引：4
|
作者：
Leung, Kathy [1 ,2 ]
Wu, Joseph T. [1 ,2 ]
机构：
[1] Univ Hong Kong, LKS Fac Med, WHO Collaborating Ctr Infect Dis Epidmiol & Co, Sch Publ Hlth, Hong Kong, Peoples R China
[2] Lab Data Discovery Hlth D24H, Hong Kong Sci Pk, Hong Kong, Peoples R China
来源：
NATURE COMPUTATIONAL SCIENCE | 2021年 / 1卷 / 02期
关键词：
D O I：
10.1038/s43588-021-00031-0
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Understanding and quantifying the uncertainty of predictions from COVID-19 pandemic models is essential to inform public health decision making. This issue presents one such examination using the influential CovidSim model.
引用
收藏
页码：98 / 99
页数：2
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