Evidence map›Paper›PMID 34242239›Full record

ArticlePloS one2021

Government responses and COVID-19 deaths: Global evidence across multiple pandemic waves.

Thomas Hale, Noam Angrist, Andrew J Hale, Beatriz Kira, Saptarshi Majumdar, Anna Petherick, Toby Phillips, Devi Sridhar, Robin N Thompson, Samuel Webster and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 4 pooled it
13.8field-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

96 citing papers in PubMed, 4 syntheses or guidelines pooled it, 179 citations in OpenAlex.

  1. Pooled it
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  13. How Will AI Shape the Future of Pandemic Response? Early Clues From Data Analytics.Risk analysis : an official publication of the Society for Risk Analysis · 2025
    Review
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  16. Experiences of U.S. frontline physicians during the COVID-19 pandemic: a qualitative study.Archives of public health = Archives belges de sante publique · 2025
    Article
  17. Article
  18. Effectiveness of SARS-CoV-2 testing strategies.The Cochrane database of systematic reviews · 2025
    Article
  19. Article
  20. Article

36 more citing papers are in PubMed but not listed here.

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 at 4 institutions in 2 countries.

Thomas HaleBlavatnik School of Government, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-8871-3376
Noam AngristBlavatnik School of Government, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-2750-1916
Andrew J HaleLarner College of Medicine at the University of Vermont, Burlington, Vermont, United States of America.
Beatriz KiraBlavatnik School of Government, University of Oxford, Oxford, United Kingdom.
Saptarshi MajumdarBlavatnik School of Government, University of Oxford, Oxford, United Kingdom.
Anna PetherickBlavatnik School of Government, University of Oxford, Oxford, United Kingdom.
Toby PhillipsBlavatnik School of Government, University of Oxford, Oxford, United Kingdom.
Devi SridharProfessor, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
Robin N ThompsonMathematics Institute, University of Warwick, Coventry, United Kingdom.
Samuel WebsterUnaffiliated, London, United Kingdom.
Yuxi ZhangBlavatnik School of Government, University of Oxford, Oxford, United Kingdom.
University of Oxford · GBUniversity of Edinburgh · GBUniversity of Vermont · USUniversity of Warwick · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We provide an assessment of the impact of government closure and containment measures on deaths from COVID-19 across sequential waves of the COVID-19 pandemic globally. Daily data was collected on a range of containment and closure policies for 186 countries from January 1, 2020 until March 11th, 2021. These data were combined into an aggregate stringency index (SI) score for each country on each day (range: 0-100). Countries were divided into successive waves via a mathematical algorithm to identify peaks and troughs of disease. Within our period of analysis, 63 countries experienced at least one wave, 40 countries experienced two waves, and 10 countries saw three waves, as defined by our approach. Within each wave, regression was used to assess the relationship between the strength of government stringency and subsequent deaths related to COVID-19 with a number of controls for time and country-specific demographic, health system, and economic characteristics. Across the full period of our analysis and 113 countries, an increase of 10 points on the SI was linked to 6 percentage points (P < 0.001, 95% CI = [5%, 7%]) lower average daily deaths. In the first wave, in countries that ultimately experiences 3 waves of the pandemic to date, ten additional points on the SI resulted in lower average daily deaths by 21 percentage points (P < .001, 95% CI = [8%, 16%]). This effect was sustained in the third wave with reductions in deaths of 28 percentage points (P < .001, 95% CI = [13%, 21%]). Moreover, interaction effects show that government policies were effective in reducing deaths in all waves in all groups of countries. These findings highlight the enduring importance of non-pharmaceutical responses to COVID-19 over time.

Indexed as

GovernmentSARS-CoV-2COVID-19HumansPandemics

Identifiers

PMID34242239
PMCPMC8270409
OpenAlexW3178627911

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.