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引入和取消非药物干预措施对美国 COVID-19 日增长率和遵从性的影响。

Impacts of introducing and lifting nonpharmaceutical interventions on COVID-19 daily growth rate and compliance in the United States.

机构信息

Health Economics Research Center, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom.

Political Economy Cluster, Hertie School, 10117 Berlin, Germany.

出版信息

Proc Natl Acad Sci U S A. 2021 Mar 23;118(12). doi: 10.1073/pnas.2021359118.

Abstract

We evaluate the impacts of implementing and lifting nonpharmaceutical interventions (NPIs) in US counties on the daily growth rate of COVID-19 cases and compliance, measured through the percentage of devices staying home, and evaluate whether introducing and lifting NPIs protecting selective populations is an effective strategy. We use difference-in-differences methods, leveraging on daily county-level data and exploit the staggered introduction and lifting of policies across counties over time. We also assess heterogenous impacts due to counties' population characteristics, namely ethnicity and household income. Results show that introducing NPIs led to a reduction in cases through the percentage of devices staying home. When counties lifted NPIs, they benefited from reduced mobility outside of the home during the lockdown, but only for a short period. In the long term, counties experienced diminished health and mobility gains accrued from previously implemented policies. Notably, we find heterogenous impacts due to population characteristics implying that measures can mitigate the disproportionate burden of COVID-19 on marginalized populations and find that selectively targeting populations may not be effective.

摘要

我们评估了美国各县实施和取消非药物干预措施(NPIs)对 COVID-19 病例日增长率和合规性(通过留在家中的设备百分比衡量)的影响,并评估了针对特定人群实施和取消 NPI 保护措施是否是一种有效的策略。我们使用差异中的差异方法,利用每日县级数据,并利用各县随时间交错引入和取消政策。我们还评估了由于各县人口特征(即族裔和家庭收入)而导致的异质影响。结果表明,通过留在家中的设备百分比,引入 NPI 措施导致病例减少。当各县取消 NPI 措施时,它们从封锁期间减少了家庭以外的流动性中受益,但只是短期受益。从长期来看,各县从之前实施的政策中获得的健康和流动性收益减少。值得注意的是,我们发现由于人口特征而导致的异质影响,这意味着措施可以减轻 COVID-19 对边缘化人群的不成比例负担,并且发现有选择地针对特定人群可能无效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f55b/8000285/5ef16f880d35/pnas.2021359118fig01.jpg

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