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来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w27028 |
来源ID | Working 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 |
URL | https://www.nber.org/papers/w27028 |
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/584700 |
推荐引用方式 GB/T 7714 | Ali Hortaçsu,Jiarui Liu,Timothy Schwieg. Estimating the Fraction of Unreported Infections in Epidemics with a Known Epicenter: an Application to COVID-19. 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 | ||
w27028.pdf(406KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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