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. 2022 Jan 13:kwac008. doi: 10.1093/aje/kwac008

Effectiveness of Localized Lockdowns in the COVID-19 Pandemic

Yige Li 1, Eduardo A Undurraga 2,3,4,5, José R Zubizarreta 6,7,8,
PMCID: PMC8807239  PMID: 35029649

Abstract

Non-pharmaceutical interventions, such as social distancing and lockdowns, have been essential to control the COVID-19 pandemic. In particular, localized lockdowns in small geographic areas have become an important policy intervention to prevent viral spread in cases of resurgence. These localized lockdowns can result in lower social and economic costs compared to larger-scale suppression strategies. Using an integrated dataset from Chile (March 3 through June 15, 2020) and a novel synthetic control approach, in this paper we estimate the effect of localized lockdowns, disentangling its direct and indirect causal effects on SARS-CoV-2 transmission. Our results show that the effects of localized lockdowns are strongly modulated by their duration and are influenced by indirect effects from neighboring geographic areas. Our estimates suggest that extending localized lockdowns can slow down the pandemic; however, localized lockdowns on their own are insufficient to control pandemic growth in the presence of indirect effects from contiguous neighboring areas that do not have lockdowns. These results provide critical empirical evidence about the effectiveness of localized lockdowns in interconnected geographic areas.

Keywords: Causal Inference, COVID-19, Localized Lockdowns, Non-Pharmaceutical Interventions

Contributor Information

Yige Li, Department of Biostatistics and CAUSALab, Harvard T.H. School of Public Health, Huntington Avenue, Boston, Massachusetts 02115.

Eduardo A Undurraga, Escuela de Gobierno, Pontificia Universidad Católica de Chile, Vicuña Mackenna 4860, Macul, Santiago 7820436, Chile; Millennium Initiative for Collaborative Research in Bacterial Resistance (MICROB-R), Chile; CIFAR Azrieli Global Scholars program, CIFAR, Toronto, ON M5G 1M1, Canada; Research Center for Integrated Disaster Risk Management (CIGIDEN), Santiago, Chile.

José R Zubizarreta, Department of Biostatistics and CAUSALab, Harvard T.H. School of Public Health, Huntington Avenue, Boston, Massachusetts 02115; Department of Health Care Policy, Harvard Medical School, 180A Longwood Avenue, Office 307-Z, Boston, Massachusetts 02115; Department of Statistics, Harvard Faculty of Arts and Sciences, 1 Oxford Street, Cambridge, Massachusetts 02138.

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Articles from American Journal of Epidemiology are provided here courtesy of Oxford University Press

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