Quantifying the uncertainty of CovidSim

被引：0
|
作者：
Kathy Leung
Joseph T. Wu
机构：
[1] The University of Hong Kong,WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine
[2] Hong Kong Science Park,Laboratory of Data Discovery for Health (D24H)
来源：
Nature Computational Science | 2021年 / 1卷
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D O I：
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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.
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页码：98 / 99
页数：1
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