Evidence map›Paper›PMID 34776809›Full record

ArticleJournal of experimental criminology2021

Measuring the impact of the COVID-19 lockdown on crime in a medium-sized city in China.

Peng Chen, Justin Kurland, Alexis Piquero, Herve Borrion

Erratum issuedAbstract read
In one paragraph

Article in Journal of experimental criminology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. 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
    Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Peng ChenSchool for Informatics Cyber Security, People's Public Security University of China, Beijing, People's Republic of China.
Justin KurlandSchool of Criminal Justice, Forensic Science, and Security, The University of Southern Mississippi, Hattiesburg, USA.
Alexis PiqueroDepartment of Sociology, University of Miami, 5202 University Drive, Merrick Building, Coral Gables, FL 33124 USA.
Herve BorrionDepartment of Security and Crime Science, University College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstract

objectivesThe study examines the variation in the daily incidence of eight acquisitive crimes: automobile theft, electromobile theft, motorcycle theft, bicycle theft, theft from automobiles, pickpocketing, residential burglary, and cyber-fraud before the lockdown and the duration of the lockdown for a medium-sized city in China.

methodsRegression discontinuity in time (RDiT) models are used to test the effect of the lockdown measures on crime by examining the daily variation of raw counts and rate.

resultsIt is indicated that in contrast to numerous violent crime categories such as domestic violence where findings have repeatedly found increases during the COVID-19 pandemic, acquisitive crimes in this city were reduced during the lockdown period for all categories, while "cyber-fraud" was found more resilient in the sense that its decrease was not as salient as for most other crime types, possibly due to people's use of the internet during the lockdown period.

conclusionsThe findings provide further support to opportunity theories of crime that are contingent upon the need for a motivated offender to identify a suitable target in physical space.

Indexed as

COVID-19CrimeNatural experimentRegression discontinuity in timeRoutine activities

Identifiers

PMID34776809
PMCPMC8577180

What OpenQuestion holds

Textmetadata
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Registered trials

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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.