G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/w27028
来源IDWorking Paper 27028
Estimating the Fraction of Unreported Infections in Epidemics with a Known Epicenter: an Application to COVID-19
Ali Hortaçsu; Jiarui Liu; Timothy Schwieg
发表日期2020-04-27
出版年2020
语种英语
摘要We develop an analytically tractable method to estimate the fraction of unreported infections in epidemics with a known epicenter and estimate the number of unreported COVID-19 infections in the US during the first half of March 2020. Our method utilizes the covariation in initial reported infections across US regions and the number of travelers to these regions from the epicenter, along with the results of an early randomized testing study in Iceland. Using our estimates of the number of unreported infections, which are substantially larger than the number of reported infections, we also provide estimates for the infection fatality rate using data on reported COVID-19 fatalities from U.S. counties.
主题Econometrics ; Health, Education, and Welfare ; Health ; COVID-19
URLhttps://www.nber.org/papers/w27028
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/584700
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Ali Hortaçsu,Jiarui Liu,Timothy Schwieg. Estimating the Fraction of Unreported Infections in Epidemics with a Known Epicenter: an Application to COVID-19. 2020.
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