Yale Institute for Network Science, Yale University, New Haven, CT, USA.
Department of Sociology, Yale University, New Haven, CT, USA.
Nat Hum Behav. 2023 Oct;7(10):1708-1728. doi: 10.1038/s41562-023-01654-1. Epub 2023 Jul 31.
Epidemic disease can spread during mass gatherings. We assessed the impact of a type of mass gathering about which comprehensive data were available on the local-area trajectory of the COVID-19 epidemic. Here we examined five types of political event in 2020 and 2021: the US primary elections, the US Senate special election in Georgia, the gubernatorial elections in New Jersey and Virginia, Donald Trump's political rallies and the Black Lives Matter protests. Our study period encompassed over 700 such mass gatherings during multiple phases of the pandemic. We used data from the 48 contiguous states, representing 3,108 counties, and we implemented a novel extension of a recently developed non-parametric, generalized difference-in-difference estimator with a (high-quality) matching procedure for panel data to estimate the average effect of the gatherings on local mortality and other outcomes. There were no statistically significant increases in cases, deaths or a measure of epidemic transmissibility (R) in a 40-day period following large-scale political activities. We estimated small and statistically non-significant effects, corresponding to an average difference of -0.0567 deaths (95% CI = -0.319, 0.162) and 8.275 cases (95% CI = -1.383, 20.7) on each day for counties that held mass gatherings for political expression compared to matched control counties. In sum, there is no statistical evidence of a material increase in local COVID-19 deaths, cases or transmissibility after mass gatherings for political expression during the first 2 years of the pandemic in the USA. This may relate to the specific manner in which such activities are typically conducted.
传染病可在人群聚集时传播。我们评估了在当地 COVID-19 疫情中,有全面数据的一类集会对疫情的影响。在此,我们研究了 2020 年和 2021 年的五种政治事件:美国初选、佐治亚州美国参议院特别选举、新泽西州和弗吉尼亚州州长选举、唐纳德·特朗普的政治集会和“黑人的命也是命”抗议活动。我们的研究期间涵盖了大流行多个阶段的 700 多次此类集会。我们使用了来自代表 3108 个县的 48 个相邻州的数据,并采用了一种新的、最近开发的非参数广义差分差异估计量的扩展方法,以及一种(高质量)匹配程序,对面板数据进行了估计,以评估集会对当地死亡率和其他结果的平均影响。在大规模政治活动后的 40 天内,病例、死亡或传染病传播率(R)均无统计学显著增加。我们估计了小的且统计学上无显著差异的影响,相当于与对照组相比,举行政治集会的县每天的平均死亡人数减少 0.0567 人(95%CI=-0.319,0.162),病例增加 8.275 人(95%CI=-1.383,20.7)。总的来说,在美国大流行的头 2 年,在举行政治集会之后,没有统计学证据表明当地 COVID-19 死亡、病例或传播率有实质性增加。这可能与此类活动的具体举办方式有关。