Effectiveness of social distancing measures and lockdowns for reducing transmission of COVID-19 in non-healthcare, community-based settings

Author:

Murphy Caitriona1,Lim Wey Wen1ORCID,Mills Cathal2ORCID,Wong Jessica Y.1,Chen Dongxuan13,Xie Yanmy1,Li Mingwei13,Gould Susan45,Xin Hualei1,Cheung Justin K.1,Bhatt Samir67ORCID,Cowling Benjamin J.13ORCID,Donnelly Christl A.278ORCID

Affiliation:

1. World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, People's Republic of China

2. Department of Statistics, University of Oxford, Oxford, UK

3. Laboratory of Data Discovery for Health, Hong Kong Science and Technology Park, New Territories, Hong Kong, People's Republic of China

4. Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK

5. Tropical and Infectious Disease Unit, Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK

6. Section of Epidemiology, Department of Public Health, University of Copenhagen, Kobenhavn, Denmark

7. MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, Imperial College London, London, UK

8. Pandemic Sciences Institute, University of Oxford, Oxford, UK

Abstract

Social distancing measures (SDMs) are community-level interventions that aim to reduce person-to-person contacts in the community. SDMs were a major part of the responses first to contain, then to mitigate, the spread of SARS-CoV-2 in the community. Common SDMs included limiting the size of gatherings, closing schools and/or workplaces, implementing work-from-home arrangements, or more stringent restrictions such as lockdowns. This systematic review summarized the evidence for the effectiveness of nine SDMs. Almost all of the studies included were observational in nature, which meant that there were intrinsic risks of bias that could have been avoided were conditions randomly assigned to study participants. There were no instances where only one form of SDM had been in place in a particular setting during the study period, making it challenging to estimate the separate effect of each intervention. The more stringent SDMs such as stay-at-home orders, restrictions on mass gatherings and closures were estimated to be most effective at reducing SARS-CoV-2 transmission. Most studies included in this review suggested that combinations of SDMs successfully slowed or even stopped SARS-CoV-2 transmission in the community. However, individual effects and optimal combinations of interventions, as well as the optimal timing for particular measures, require further investigation.This article is part of the theme issue 'The effectiveness of non-pharmaceutical interventions on the COVID-19 pandemic: the evidence'.

Funder

Research Grants Council

Collaborative Research Scheme

National Institute of Health Research

Engineering and Physical Sciences Research Council

Royal Society

Publisher

The Royal Society

Subject

General Physics and Astronomy,General Engineering,General Mathematics

Reference320 articles.

1. Nonpharmaceutical Interventions Implemented by US Cities During the 1918-1919 Influenza Pandemic

2. Public health interventions and epidemic intensity during the 1918 influenza pandemic

3. Investigation of three clusters of COVID-19 in Singapore: implications for surveillance and response measures

4. European Centre for Disease Prevention and Control. 2020. COVID-19 clusters and outbreaks in occupational settings in the EU/EEA and the UK. See https://www.ecdc.europa.eu/sites/default/files/documents/COVID-19-in-occupational-settings.pdf.

5. Clustering and superspreading potential of SARS-CoV-2 infections in Hong Kong

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