Evidence map›Paper›PMID 37333800›Full record

ArticleEuropean economic review2023

Gimme shelter. Social distancing and income support in times of pandemic.

Ulugbek Aminjonov, Olivier Bargain, Tanguy Bernard

Abstract read
In one paragraph

Article in European economic review, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. 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

3 authors.

Ulugbek AminjonovBSE, Bordeaux University, France.
Olivier BargainBSE, Bordeaux University, France.
Tanguy BernardBSE, Bordeaux University, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stay-at-home orders feature high in the set of policies used to curb the spread of epidemics such as COVID-19, but are potentially less efficient among poor people who must continue to work during pandemics. We examine how income support programs help poor people comply with stay-at-home order and thereby generate positive health externalities. We use data on work-related mobility in 2020 and on poverty rates for 729 subnational regions of Africa, Latin America and Asia. We focus on within-country differential mobility changes between higher- and lower-poverty regions. Accounting for all time-variant country-level factors, we show that lockdowns have decreased mobility significantly less in poorer regions. In turn, emergency income support programs have helped reduce this difference, mitigating the regional poverty gap in virus exposure through work mobility.

Indexed as

ComplianceCOVID-19LockdownMobilityPolicyPovertySocial protection

Identifiers

PMID37333800
PMCPMC10250056

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.