Getting the most out of noisy surveillance data

被引:0
|
作者
McGough, Lauren [1 ]
机构
[1] Univ Chicago, Dept Ecol & Evolut, Chicago, IL 60637 USA
来源
NATURE COMPUTATIONAL SCIENCE | 2022年 / 2卷 / 09期
关键词
D O I
10.1038/s43588-022-00319-9
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A recent study proposes a metric to quantify how much information different types of epidemiological surveillance data, such as case counts and death counts, convey about the real-time transmission of an epidemic.
引用
收藏
页码:559 / 560
页数:2
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