G2TT
来源类型Discussion paper
规范类型论文
来源IDDP15494
DP15494 Does Contact Tracing Work? Quasi-Experimental Evidence from an Excel Error in England
Thiemo Fetzer; Thomas Graeber
发表日期2020-11-25
出版年2020
语种英语
摘要Contact tracing has been a central pillar of the public health response to the COVID-19 pandemic. Yet, contact tracing measures face substantive challenges in practice and well-identified evidence about their effectiveness remains scarce. This paper exploits quasi-random variation in COVID-19 contact tracing. Between September 25 and October 2, 2020, a total of 15,841 COVID-19 cases in England (around 15 to 20% of all cases) were not immediately referred to the contact tracing system due to a data processing error. Case information was truncated from an Excel spreadsheet after the row limit had been reached, which was discovered on October 3. There is substantial variation in the degree to which different parts of England areas were exposed -- by chance -- to delayed referrals of COVID-19 cases to to the contact tracing system. We show that more affected areas subsequently experienced a drastic rise in new COVID-19 infections and deaths alongside an increase in the positivity rate and the number of test performed, as well as a decline in the performance of the contact tracing system. Conservative estimates suggest that the failure of timely contact tracing due to the data glitch is associated with more than 125,000 additional infections and over 1,500 additional COVID-19-related deaths. Our findings provide strong quasi-experimental evidence for the effectiveness of contact tracing.
主题Public Economics
关键词Health Coronavirus
URLhttps://cepr.org/publications/dp15494
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/544493
推荐引用方式
GB/T 7714
Thiemo Fetzer,Thomas Graeber. DP15494 Does Contact Tracing Work? Quasi-Experimental Evidence from an Excel Error in England. 2020.
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