天气、社交距离和covid -19的传播

Daniel J. Wilson
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引用次数: 23

摘要

使用美国各县的高频面板数据,我估计了COVID-19病例和死亡对流动性和天气外源性运动的全面动态响应。我发现了几个重要的结果。首先,研究发现,在流动性固定的情况下,温度对未来1至8周的COVID-19病例和未来2至8周的死亡有显著的负面影响。其次,在天气固定的情况下,流动性被发现对COVID-19病例和死亡人数的后续增长有很大的积极影响。对病例的影响在未来3至4周内变得显著,并持续到未来8至10周。对死亡的影响在未来4周左右变得显著,并持续至少10周。第三,我发现,当当地的病毒传播率高于1时,流动性对COVID-19结果的有害影响要大得多,这是支持公共卫生政策的证据,这些政策旨在减少流动性,特别是在传播率高的地方,同时放松其他地方的限制。第四,我发现,人口流动对病例的动态影响在各个县大致相似,但对死亡率的影响在人口老龄化的县更高,令人惊讶的是,在黑人或西班牙裔人口比例较低的县。最后,我发现,虽然最近几周流动性变化对病例的边际影响一直很稳定,但对死亡的影响却有所下降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Weather, Social Distancing, and the Spread ofCOVID-19
Using high-frequency panel data for U.S. counties, I estimate the full dynamic response of COVID-19 cases and deaths to exogenous movements in mobility and weather. I find several important results. First, holding mobility fixed, temperature is found to have a negative and significant effect on COVID-19 cases from 1 to 8 weeks ahead and on deaths from 2 to 8 weeks ahead. Second, holding weather fixed, mobility is found to have a large positive effect on subsequent growth in COVID-19 cases and deaths. The impact on cases becomes significant 3 to 4 weeks ahead and continues through 8 to 10 weeks ahead. The impact on deaths becomes significant around 4 weeks ahead and persists for at least 10 weeks. Third, I find that the deleterious effects of mobility on COVID-19 outcomes are far greater when the local virus transmission rate is above one -- evidence supportive of public health policies aiming to reduce mobility specifically in places experiencing high transmission rates while relaxing restrictions elsewhere. Fourth, I find that the dynamic effects of mobility on cases are generally similar across counties, but the effects on deaths are higher for counties with older populations and, surprisingly, counties with lower black or hispanic population shares. Lastly, I find that while the marginal impact of mobility changes has been stable over recent weeks for cases, it has come down for deaths.
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