Getting the most out of noisy surveillance data

被引：0
|
作者：
Lauren McGough
机构：
[1] The University of Chicago,Department of Ecology and Evolution
来源：
Nature Computational Science | 2022年 / 2卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
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.
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页码：559 / 560
页数：1
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