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来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w27166 |
来源ID | Working Paper 27166 |
Reopening Under COVID-19: What to Watch For | |
Jeffrey E. Harris | |
发表日期 | 2020-05-18 |
出版年 | 2020 |
语种 | 英语 |
摘要 | We critically analyze the currently available status indicators of the COVID-19 epidemic so that state governors will have the guideposts necessary to decide whether to further loosen or instead retighten controls on social and economic activity. Overreliance on aggregate, state-level data in Wisconsin, we find, confounds the effects of the spring primary elections and the outbreak among meat packers. Relaxed testing standards in Los Angeles may have upwardly biased the observed trend in new infection rates. Reanalysis of New Jersey data, based upon the date an ultimately fatal case first became ill rather than the date of death, reveals that deaths have already peaked in that state. Evidence from Cook County, Illinois shows that trends in the percentage of positive tests can be wholly misleading. Trends on emergency department visits for influenza-like illness, advocated by the White House Guidelines, are unlikely to be informative. Data on hospital census counts in Orange County, California suggest that healthcare system-based indicators are likely to be more reliable and informative. An analysis of cumulative infections in San Antonio, Texas, shows how mathematical models intended to guide decisions on relaxation of social distancing are severely limited by untested assumptions. Universal coronavirus testing may not on its own solve difficult problems of data interpretation and causal inference. |
主题 | Health, Education, and Welfare ; Health ; Education ; COVID-19 |
URL | https://www.nber.org/papers/w27166 |
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/584839 |
推荐引用方式 GB/T 7714 | Jeffrey E. Harris. Reopening Under COVID-19: What to Watch For. 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 | ||
w27166.pdf(397KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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