Evidence map›Paper›PMID 37611629›Full record

SynthesisPhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2023

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

Caitriona Murphy, Wey Wen Lim, Cathal Mills, Jessica Y Wong, Dongxuan Chen, Yanmy Xie, Mingwei Li, Susan Gould, Hualei Xin, Justin K Cheung and 3 more

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 4 pooled it
12.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 4 syntheses or guidelines pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Effectiveness of social distancing measures and lockdowns for reducing transmission of COVID-19 in non-healthcare, community-based settings.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2023
    Pooled it
  5. Trial
  6. Exercise Perceptions, Barriers, and Self-Efficacy Among Adults in Kuwait During the COVID-19 Pandemic.International journal of environmental research and public health · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Impact of COVID-19 Control Measures on Birth Outcomes in Ho Chi Minh City, Vietnam.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Promoting Behavioral Change to Improve Health Outcomes.Behavioral sciences (Basel, Switzerland) · 2025
    Article
  17. Article
  18. Commentary: Without Values, Complexity is Reduced to Mathematics.Journal of evaluation in clinical practice · 2025
    Article
  19. Observational
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 5 institutions in 3 countries.

Caitriona MurphyWorld 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.
Wey Wen LimWorld 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.ORCID 0000-0001-8514-2048
Cathal MillsDepartment of Statistics, University of Oxford, Oxford, UK.ORCID 0009-0004-2441-0263
Jessica Y WongWorld 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.
Dongxuan ChenWorld 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.
Yanmy XieWorld 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.
Mingwei LiWorld 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.
Susan GouldDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.
Hualei XinWorld 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.
Justin K CheungWorld 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.
Samir BhattSection of Epidemiology, Department of Public Health, University of Copenhagen, Kobenhavn, Denmark.ORCID 0000-0002-0891-4611
Benjamin J CowlingWorld 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.ORCID 0000-0002-6297-7154
Christl A DonnellyDepartment of Statistics, University of Oxford, Oxford, UK.ORCID 0000-0002-0195-2463
University of Hong Kong · HKHong Kong Science and Technology Parks Corporation · HKUniversity of Oxford · GBUniversity of Copenhagen · DKUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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'.

Indexed as

COVID-19Communicable Disease ControlHumansPandemicsPhysical DistancingSARS-CoV-2care homeslockdownSARS-CoV-2schoolssocial distancingtransmission

Identifiers

PMID37611629
PMCPMC10446910
OpenAlexW4386100576

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.