Quantifying the Extent of Early COVID-19 Illness

Joelle Saad-Lessler, F. Neymotin
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Abstract

To date, there remains much confusion about when the first cases of COVID-19 occurred in the U.S. This knowledge informs models of COVID-19 transmission and impacts its estimated fatality rate. We employed a differencing analysis on the Current Population Survey (CPS) to examine how rates of absence from work due to illness varied this year relative to last year in key industries. We found that absence from work due to illness was higher in almost all industries during December-March of 2020 relative to the same months of 2019. Our findings imply that COVID-19 was spreading in the U.S. as early as December. They also highlight the fact that labor market surveys, like the CPS, can be a valuable tool for the early detection of illness at a national level. Information from labor market surveys should be used to track and combat COVID-19 and future disease outbreaks.
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量化COVID-19早期疾病的程度
迄今为止,关于美国何时出现第一例COVID-19病例仍然存在很多困惑。这些知识为COVID-19的传播模型提供了信息,并影响了其估计的死亡率。我们对当前人口调查(CPS)进行了差异分析,以研究今年主要行业因病缺勤率与去年相比的变化情况。我们发现,与2019年同期相比,在2020年12月至3月期间,几乎所有行业的因病缺勤率都更高。我们的研究结果表明,COVID-19早在去年12月就在美国蔓延。他们还强调了这样一个事实,即劳动力市场调查,如CPS,可以成为国家一级早期发现疾病的宝贵工具。来自劳动力市场调查的信息应用于跟踪和应对COVID-19和未来的疾病暴发。
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Quantifying the Extent of Early COVID-19 Illness A Model for Interdisciplinary Clinical Education: Medical and Legal Professionals Learning and Working Together to Promote Public Health
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