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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