Evidence map›Paper›PMID 36965985›Full record

ReviewThe Lancet. Public health2023

Effectiveness assessment of non-pharmaceutical interventions: lessons learned from the COVID-19 pandemic.

Adrian Lison, Nicolas Banholzer, Mrinank Sharma, Sören Mindermann, H Juliette T Unwin, Swapnil Mishra, Tanja Stadler, Samir Bhatt, Neil M Ferguson, Jan Brauner and 1 more

Abstract readReview
In one paragraph

Review in The Lancet. Public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

41 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Changes inMicrobiology spectrum · 2025
    Article
  18. Article
  19. Article
  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

11 authors.

Adrian LisonDepartment of Biosystems Science and Engineering, ETH Zurich, Zurich, Switzerland.
Nicolas BanholzerInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
Mrinank SharmaDepartment of Statistics, University of Oxford, Oxford, UK; Future of Humanity Institute, University of Oxford, Oxford, UK.
Sören MindermannDepartment of Computer Science, University of Oxford, Oxford, UK.
H Juliette T UnwinMedical Research Council Centre for Global Infectious Disease Analysis, Jameel Institute, Imperial College London, London, UK.
Swapnil MishraDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark; Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
Tanja StadlerDepartment of Biosystems Science and Engineering, ETH Zurich, Zurich, Switzerland.
Samir BhattMedical Research Council Centre for Global Infectious Disease Analysis, Jameel Institute, Imperial College London, London, UK; Department of Public Health, University of Copenhagen, Copenhagen, Denmark. Electronic address: samir.bhatt@sund.ku.dk.
Neil M FergusonMedical Research Council Centre for Global Infectious Disease Analysis, Jameel Institute, Imperial College London, London, UK.
Jan BraunerDepartment of Computer Science, University of Oxford, Oxford, UK; Future of Humanity Institute, University of Oxford, Oxford, UK.
Werner VachBasel Academy for Quality and Research in Medicine, Basel, Switzerland; Department of Environmental Sciences, University of Basel, Basel, Switzerland.

Funding

Cancer Research UKDepartment of Health NIHR200908Medical Research Council MR/R015600/1
6 · The paper itself

Abstract

Effectiveness of non-pharmaceutical interventions (NPIs), such as school closures and stay-at-home orders, during the COVID-19 pandemic has been assessed in many studies. Such assessments can inform public health policies and contribute to evidence-based choices of NPIs during subsequent waves or future epidemics. However, methodological issues and no standardised assessment practices have restricted the practical value of the existing evidence. Here, we present and discuss lessons learned from the COVID-19 pandemic and make recommendations for standardising and improving assessment, data collection, and modelling. These recommendations could contribute to reliable and policy-relevant assessments of the effectiveness of NPIs during future epidemics.

Indexed as

COVID-19Data CollectionHumansPandemicsPublic PolicySchools

Identifiers

PMID36965985
PMCPMC10036127

What OpenQuestion holds

Textmetadata
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.