| Literature DB >> 34079096 |
Amy E Nivette1,2, Renee Zahnow3, Raul Aguilar4, Andri Ahven5, Shai Amram6, Barak Ariel6,7, María José Arosemena Burbano7, Roberta Astolfi8, Dirk Baier9, Hyung-Min Bark10, Joris E H Beijers11, Marcelo Bergman12, Gregory Breetzke13, I Alberto Concha-Eastman14, Sophie Curtis-Ham15, Ryan Davenport16,17, Carlos Díaz18, Diego Fleitas12, Manne Gerell19, Kwang-Ho Jang20, Juha Kääriäinen21, Tapio Lappi-Seppälä21, Woon-Sik Lim20, Rosa Loureiro Revilla7, Lorraine Mazerolle3, Gorazd Meško22, Noemí Pereda23, Maria F T Peres8, Rubén Poblete-Cazenave24, Simon Rose7,17, Robert Svensson19, Nico Trajtenberg25, Tanja van der Lippe26, Joran Veldkamp26, Carlos J Vilalta Perdomo27, Manuel P Eisner7,28.
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.Entities:
Year: 2021 PMID： 34079096 DOI： 10.1038/s41562-021-01139-z
Source DB: PubMed Journal: Nat Hum Behav ISSN： 2397-3374