Evaluating the impact of keeping indoor dining closed on COVID-19 rates among large US cities: a quasi-experimental design

Abstract

Objective: Indoor dining is one of the potential key drivers of COVID-19 transmission. We leverage the heterogeneity in state government preemption of city indoor dining closures, to estimate the impact of keeping indoor dining closed on COVID-19 incidence. Methods: We obtained case rates and city/state re-opening dates from March to October 2020 in 11 U.S. cities. We categorized cities as (treatment) cities that were allowed by the state to reopen but kept indoor dining closed; and (comparison) cities that would have kept indoor dining closed but were preempted by their state and had to reopen indoor dining. Results: Keeping indoor dining closed was associated with a 43% (IRR=0.57, 95% CI 0.46 to 0.69) decline in COVID-19 incidence over 4-weeks compared with cities that reopened indoor dining. These results were consistent after testing alternative modeling strategies. Conclusions: Keeping indoor dining closed contributes to reductions in COVID-19 spread. Policy Implications: Evidence of the relationship between indoor dining and COVID-19 incidence can inform state and local decisions to restrict indoor dining as a tailored strategy to reduce COVID-19 incidence.

General practitioner visits after SARS-CoV-2 omicron compared with the delta variant in children in Norway: a prospective nationwide registry study

“…The event study is especially well suited when the timing of events varies across groups in the population, there is a high number of units not experiencing an event and any measured association might vary over time 7. The approach is widely used in social sciences and now also increasingly popular in epidemiology and public health as it can display an abnormal shift in trend, and attribute that shift to an event 8–12…”

Disaggregating disparities: A case study of heterogenous COVID-19 disparities across waves, geographies, social vulnerability, and political lean in Louisiana

“…, Ioannou et al, 2021 , Kim et al, 2021 , Figueroa et al, 2020 , Reitsma et al, 2021 , Acosta et al, 2021 , Siegel et al, 2021 , Bilal et al, 2021 , Do and Frank, 2021 , Figueroa et al, 2021 , Stokes et al, 2021 , Bassett et al, 2020 , Rossen et al, 2021 , Krieger et al, 2021 , Gao and Radford, 2021 , Bernet, 2020 , Williams and Ferreira, 2021 , Kates et al, 2021 , Schnake-Mahl and Bilal, 2021 , Grubesic and Matisziw, 2006 , Biggs et al, 2021 , Oral et al, 2020 , Oates et al, 2021 , Louisiana Department of Health. COVID-19., 2020 , Dong et al, 2020 , USDA, 2020 , USDA, 2013 , City of New Orleans, 2020 , Flanagan et al, 2011 , Blake et al, 2007 , Nosrati et al, 2018 , Samore et al, 2021 , Presidential precint data for the, 2020 , Moreno-Betancur et al, 2015 , Zeller et al, 2021 , Yamana et al, 2020 , Adolph et al, 2023 , Adolph et al, 2021 , Haddow et al, 2020 , Jones and Kiley, 2020 , Lyu and Wehby, 2020 , Dave et al, 2020 , Schnake-Mahl et al, 2021 , Leifheit et al, 2019 , Courtemanche et al, 2020 , Zelner et al, 2020 , McClure et al, 2020 , Frohlich, 2014 , McLaren et al, 2010 , Scala and Johnson, 2017 , Brown et al, 2021 , Bibbins-Domingo et al, 2021 , Quinn et al, 2019 , Strully et al, 2021 , Akhtar, 2021 , Hamel et al, 2021 , Leonhardt, 2021 ,…”