Evidence map›Paper›PMID 33072489›Full record

ArticleCrime science2020

Minor covid-19 association with crime in Sweden.

Manne Gerell, Johan Kardell, Johanna Kindgren

Abstract read
In one paragraph

Article in Crime science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Review
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  6. The Impact of Urban Facilities on Crime during the Pre- and Pandemic Periods: A Practical Study in Beijing.International journal of environmental research and public health · 2023
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  7. Article
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  12. Activity-adjusted crime rates show that public safety worsened in 2020.Proceedings of the National Academy of Sciences of the United States of America · 2022
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  14. Review
  15. Article
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  19. Crime and punishment in times of pandemics.European journal of law and economics · 2022
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  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

3 authors.

Manne GerellDepartment of Criminology, Malmö University, Malmö, Sweden.ORCID 0000-0002-2145-113X
Johan KardellIntelligence Unit, National Operations Department, National Police of Sweden, Stockholm, Sweden.
Johanna KindgrenIntelligence Unit, National Operations Department, National Police of Sweden, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The covid-19 disease has a large impact on life across the globe, and this could potentially include impacts on crime. The present study describes how crime has changed in Sweden during ten weeks after the government started to implement interventions to reduce spread of the disease. Sweden has undertaken smaller interventions than many other countries and is therefore a particularly interesting case to study. The first major interventions in Sweden were implemented in the end of week 11 (March 12th) in the year 2020, and we analyze police reported crimes through week 21 (ending May 24th). Descriptive statistics are provided relative to expected levels with 95% confidence intervals for eight crime types. We find that total crime, assaults, pickpocketing and burglary have decreased significantly, personal robberies and narcotics crime are unchanged. Vandalism possibly increased somewhat but is hard to draw any firm conclusions on. The reductions are fairly small for most crime types, in the 5-20% range, with pickpocketing being the biggest exception noting a 59% drop relative to expected levels.

Indexed as

CoronaCovid-19Crime trendsPolice reported crime

Identifiers

PMID33072489
PMCPMC7548025

What OpenQuestion holds

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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.