G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/w26965
来源IDWorking Paper 26965
How Deadly Is COVID-19? Understanding The Difficulties With Estimation Of Its Fatality Rate
Andrew Atkeson
发表日期2020-04-13
出版年2020
语种英语
摘要To understand how best to combat COVID-19, we must understand how deadly is the disease. There is a substantial debate in the epidemiological lit- erature as to whether the fatality rate is 1% or 0.1% or somewhere in between. In this note, I use an SIR model to examine why it is difficult to estimate the fatality rate from the disease and how long we might have to wait to resolve this question absent a large-scale randomized testing program. I focus on un- certainty over the joint distribution of the fatality rate and the initial number of active cases at the start of the epidemic around January 15, 2020. I show how the model with a high initial number of active cases and a low fatality rate gives the same predictions for the evolution of the number of deaths in the early stages of the pandemic as the same model with a low initial number of active cases and a high fatality rate. The problem of distinguishing these two parameterizations of the model becomes more severe in the presence of effective mitigation measures. As discussed by many, this uncertainty could be resolved now with large-scale randomized testing.
主题Other ; General, Teaching ; Econometrics ; Estimation Methods ; COVID-19
URLhttps://www.nber.org/papers/w26965
来源智库National Bureau of Economic Research (United States)
引用统计
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/584638
推荐引用方式
GB/T 7714
Andrew Atkeson. How Deadly Is COVID-19? Understanding The Difficulties With Estimation Of Its Fatality Rate. 2020.
条目包含的文件
文件名称/大小 资源类型 版本类型 开放类型 使用许可
w26965.pdf(394KB)智库出版物 限制开放CC BY-NC-SA浏览
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Andrew Atkeson]的文章
百度学术
百度学术中相似的文章
[Andrew Atkeson]的文章
必应学术
必应学术中相似的文章
[Andrew Atkeson]的文章
相关权益政策
暂无数据
收藏/分享
文件名: w26965.pdf
格式: Adobe PDF
此文件暂不支持浏览

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。