Back to School: The Effect of School Visits During COVID-19 on COVID-19 Transmission

D. Bravata, J. Cantor, N. Sood, C. Whaley
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引用次数: 24

Abstract

Schools across the United States and the world have been closed in an effort to mitigate the spread of COVID-19. However, the effect of school closure on COVID-19 transmission remains unclear. We estimate the causal effect of changes in the number of weekly visits to schools on COVID-19 transmission using a triple difference approach. In particular, we measure the effect of changes in county-level visits to schools on changes in COVID-19 diagnoses for households with school-age children relative to changes in COVID-19 diagnoses for households without school-age children. We use a data set from the first 46 weeks of 2020 with 130 million household-week level observations that includes COVID-19 diagnoses merged to school visit tracking data from millions of mobile phones. We find that increases in county-level in-person visits to schools lead to an increase in COVID-19 diagnoses among households with children relative to households without school-age children. However, the effects are small in magnitude. A move from the 25th to the 75th percentile of county-level school visits translates to a 0.3 per 10,000 household increase in COVID-19 diagnoses. This change translates to a 3.2 percent relative increase. We find larger differences in low-income counties, in counties with higher COVID-19 prevalence, and at later stages of the COVID-19 pandemic.
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重返校园:COVID-19期间学校访问对COVID-19传播的影响
美国和世界各地的学校已经关闭,以减轻COVID-19的传播。然而,学校关闭对COVID-19传播的影响仍不清楚。我们使用三差法估计每周学校访问次数变化对COVID-19传播的因果影响。特别是,我们衡量了县级学校访问次数的变化对有学龄儿童家庭的COVID-19诊断变化的影响,相对于没有学龄儿童家庭的COVID-19诊断变化的影响。我们使用了2020年前46周的数据集,其中包括1.3亿个家庭周观察数据,其中包括将COVID-19诊断合并到数百万部手机的学校访问跟踪数据。我们发现,与没有学龄儿童的家庭相比,县级亲临学校次数的增加导致有儿童家庭的COVID-19诊断率上升。然而,影响的幅度很小。从县一级学校访问的第25百分位提高到第75百分位,意味着每1万户家庭的COVID-19诊断增加0.3个。这一变化转化为3.2%的相对增长。我们发现,在低收入县、COVID-19流行率较高的县以及COVID-19大流行的后期阶段,差异更大。
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