To What Extent Does In-Person Schooling Contribute to the Spread of COVID-19? Evidence from Michigan and Washington

Dan Goldhaber, Scott A. Imberman, Katharine O. Strunk, B. Hopkins, Nate Brown, Erica Harbatkin, Tara Kilbride
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引用次数: 54

Abstract

The decision about how and when to open schools to in-person instruction has been a key question for policymakers throughout the COVID-19 pandemic. The instructional modality of schools has implications not only for the health and safety of students and staff, but also student learning and the degree to which parents can engage in job activities. We consider the role of instructional modality (in-person, hybrid, or remote instruction) in disease spread among the wider community. Using a variety of regression modeling strategies , we find that simple correlations show in-person modalities are correlated with increased COVID cases, but accounting for both pre-existing cases and a richer set of covariates brings estimates close to zero on average. In Ordinary Least Squares (OLS) specifications, in-person modality options are not associated with increased spread of COVID at low levels of pre-existing COVID cases but cases do increase at moderate to high pre-existing COVID rates. A bounding exercise suggests that the OLS findings for in-person modality are likely to represent an upper bound on the true relationship. These findings are robust to the inclusion of county and district fixed effects in terms of the insignificance of the findings, but the models with fixed effects are also somewhat imprecisely estimated.
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面对面教育在多大程度上助长了COVID-19的传播?来自密歇根和华盛顿的证据
在2019冠状病毒病大流行期间,决定如何以及何时开放学校进行面对面教学一直是政策制定者面临的一个关键问题。学校的教学方式不仅影响到学生和工作人员的健康和安全,而且影响到学生的学习和家长参与工作活动的程度。我们考虑了教学方式(面对面、混合或远程教学)在更广泛的社区中疾病传播中的作用。使用各种回归建模策略,我们发现简单的相关性表明亲自模式与COVID病例的增加相关,但考虑到既存在的病例和更丰富的协变量集,估计值平均接近于零。在普通最小二乘法(OLS)规范中,在低水平的预先存在的COVID病例中,面对面的方式选择与COVID的传播增加无关,但在中等至高的预先存在的COVID率下,病例确实会增加。一项边界练习表明,OLS对面对面模态的发现可能代表了真实关系的上限。这些发现是稳健的,包括县和地区的固定效应的研究结果的不显著性,但与固定效应的模型也有些不精确的估计。
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