Evidence map›Paper›PMID 33850346›Full record

ArticleThe European journal of development research2022

The Luxury of Lockdown.

Mehdi Shiva, Hassan Molana

Abstract read
In one paragraph

Article in The European journal of development research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Observational
  4. Article
  5. Article
  6. Article
  7. 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

2 authors.

Mehdi ShivaBlavatnik School of Government, University of Oxford, 120 Walton Street, Oxford, OX2 6GG UK.ORCID 0000-0003-4477-1555
Hassan MolanaSchool of Social Sciences, University of Dundee, Dundee, DD1 4NH UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regression analysis based on data from Oxford COVID-19 Government Response Tracker and the World Bank datasets for 169 countries suggests that containment policies have, in general, a significant role in reducing the pandemic's fatality rate across all countries. However (i) there is at least a three weeks lag in realising the impact, (ii) the effectiveness increases with per capita income and, more specifically, (iii) workplace closure is ineffective in low-income countries. The analysis of data from Demographic and Health Survey (the DHS Programme) and IMF Policy Tracker indicates that developing countries are unlikely to have the basis required for effectively adopting stringent lockdown measures and instead would need to consider specifically targeted lockdown policies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1057/s41287-021-00389-x.

Indexed as

Containment policiesCOVID-19LockdownLow-income countries

Identifiers

PMID33850346
PMCPMC8033558

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.