A global analysis of the impact of COVID-19 stay-at-home restrictions on crime

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...

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Bibliographic Details
Published in:	Nature human behaviour Vol. 5; no. 7; pp. 868 - 877
Main Authors:	Nivette, Amy E., Zahnow, Renee, Aguilar, Raul, Ahven, Andri, Amram, Shai, Ariel, Barak, Burbano, María José Arosemena, Astolfi, Roberta, Baier, Dirk, Bark, Hyung-Min, Beijers, Joris E. H., Bergman, Marcelo, Breetzke, Gregory, Concha-Eastman, I. Alberto, Curtis-Ham, Sophie, Davenport, Ryan, Díaz, Carlos, Fleitas, Diego, Gerell, Manne, Jang, Kwang-Ho, Kääriäinen, Juha, Lappi-Seppälä, Tapio, Lim, Woon-Sik, Revilla, Rosa Loureiro, Mazerolle, Lorraine, Meško, Gorazd, Pereda, Noemí, Peres, Maria F. T., Poblete-Cazenave, Rubén, Rose, Simon, Svensson, Robert, Trajtenberg, Nico, van der Lippe, Tanja, Veldkamp, Joran, Perdomo, Carlos J. Vilalta, Eisner, Manuel P.
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 01-07-2021 Nature Publishing Group
Subjects:	4014/4002 4014/4013 4014/523 Activities of daily living Behavioral Sciences Biomedical and Life Sciences Cities Coronaviruses COVID-19 COVID-19 - epidemiology Crime Crime - trends Criminology Europe Experimental Psychology Humans Kriminologi Life Sciences Microeconomics Middle East Neurosciences Personality and Social Psychology Physical Distancing Public Health - statistics & numerical data Public spaces Quarantine - trends Time series United States Urban crime Middle East United States Europe
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Summary:	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. The implementation of COVID-19 stay-at-home policies was associated with a considerable drop in urban crime in 27 cities across 23 countries. More stringent restrictions over movement in public space were predictive of larger declines in crime.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	2397-3374 2397-3374
DOI:	10.1038/s41562-021-01139-z