| Title: | A global analysis of the impact of COVID-19 stay-at-home restrictions on crime |
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| Authors: | ID Nivette, Amy E. (Author)
ID Meško, Gorazd (Author)
ID Zahnow, Renee (Author)
ID Aguilar Ruiz, Raul (Author)
ID Ahven, Andri (Author)
ID Shai, Amram (Author)
ID Ariel, Barak (Author)
ID Arosemena Burbano, María José (Author)
ID Astolfi, Roberta (Author)
ID Baier, Dirk (Author)
ID Bark, Hyung-Min (Author)
ID Beijers, Joris E. H. (Author)
ID Bergman, Marcelo (Author)
ID Breetzke, Gregory (Author)
ID Concha-Eastman , Alberto (Author)
ID Curtis-Ham, Sophie (Author)
ID Davenport, Ryan (Author)
ID Díaz, Carlos (Author)
ID Fleitas, Diego (Author)
ID Gerell, Manne (Author)
ID Jang, Kwang-Ho (Author)
ID Kääriäinen, Juha (Author)
ID Lappi-Seppälä, Tapio (Author)
ID Lim, Woon-Sik (Author)
ID Loureiro Revilla, Rosa (Author)
ID Green Mazerolle, Lorraine (Author)
ID Pereda , Noemí (Author)
ID Pereda , Noemí (Author)
ID Peres, Maria Fernanda (Author)
ID Poblete-Cazenave, Rubén (Author)
ID Rose, Simon (Author)
ID Svensson, Robert (Author)
ID Trajtenberg, Nico (Author)
ID Van der Lippe, Tanja (Author)
ID Veldkamp, Joran (Author)
ID Vilalta Perdomo, Carlos Javier (Author)
ID Eisner , Manuel P. (Author) |
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| Files: |  RAZ_Nivette_Amy_E._2021.pdf (1,63 MB)
MD5: 5DB94BEA27E97C7481120C46EB6C7BFB
 https://doi.org/10.1038/s41562-021-01139-z
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| Language: | English |
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| Work type: | Scientific work |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FVV - Faculty of Criminal Justice and Security
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| Abstract: | The stay-at-home restrictions to control the spread of COVID-19 led to unparalleled sudden change in daily life, but it is unclear how they affected urban crime globally. We collected data on daily counts of crime in 27 cities across 23 countries in the Americas, Europe, the Middle East and Asia. We conducted interrupted time series analyses to assess the impact of stay-at-home restrictions on different types of crime in each city. Our findings show that the stay-at-home policies were associated with a considerable drop in urban crime, but with substantial variation across cities and types of crime. Meta-regression results showed that more stringent restrictions over movement in public space were predictive of larger declines in crime. |
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| Keywords: | criminology, crime, pandemic, restrictions, stay-at-home, analysis |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 06.01.2021 |
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| Article acceptance date: | 17.05.2021 |
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| Publication date: | 02.06.2021 |
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| Publisher: | Springer Nature |
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| Year of publishing: | 2021 |
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| Number of pages: | Str. 868-877 |
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| Numbering: | Letn. 5 |
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| PID: | 20.500.12556/DKUM-90896  |
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| UDC: | 343.9:616-036.21 |
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| ISSN on article: | 2397-3374 |
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| COBISS.SI-ID: | 65643523 |
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| DOI: | 10.1038/s41562-021-01139-z |
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| Publication date in DKUM: | 03.10.2024 |
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| Views: | 132 |
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| Downloads: | 14 |
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| Metadata: |    |
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| Categories: | Misc.
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