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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/218851
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dc.contributor.authorNivette, Amy E.-
dc.contributor.authorZahnow, Renee-
dc.contributor.authorAguilar, Raul-
dc.contributor.authorAhven, Andri-
dc.contributor.authorAmram, Shai-
dc.contributor.authorAriel, Barak-
dc.contributor.authorArosemena, María José-
dc.contributor.authorAstolfi, Roberta-
dc.contributor.authorBaier, Dirk-
dc.contributor.authorBark, Hyung-Min-
dc.contributor.authorBeijers, Joris E. H.-
dc.contributor.authorBergman, Marcelo-
dc.contributor.authorBreetzke, Gregory-
dc.contributor.authorConcha, I. Alberto-
dc.contributor.authorCurtis, Sophie-
dc.contributor.authorDavenport, Ryan-
dc.contributor.authorDíaz, Carlos-
dc.contributor.authorFleitas, Diego-
dc.contributor.authorGerell, Manne-
dc.contributor.authorJang, Kwang-Ho-
dc.contributor.authorKääriäinen, Juha-
dc.contributor.authorLappi, Tapio-
dc.contributor.authorLim, Woon-Sik-
dc.contributor.authorLoureiro, Rosa-
dc.contributor.authorMazerolle, Lorraine-
dc.contributor.authorMeško, Gorazd-
dc.contributor.authorPereda Beltran, Noemí-
dc.contributor.authorPeres, Maria F. T.-
dc.contributor.authorPoblete, Rubén-
dc.contributor.authorRose, Simon-
dc.contributor.authorSvensson, Robert-
dc.contributor.authorTrajtenberg, Nico-
dc.contributor.authorvan der Lippe, Tanja-
dc.contributor.authorVeldkamp, Joran-
dc.contributor.authorVilalta, Carlos J.-
dc.contributor.authorEisner, Manuel P.-
dc.date.accessioned2025-02-17T15:51:46Z-
dc.date.available2025-02-17T15:51:46Z-
dc.date.issued2021-
dc.identifier.urihttps://hdl.handle.net/2445/218851-
dc.description.abstractThe 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.-
dc.format.extent12 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherSpringer Nature-
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1038/s41562-021-01139-z-
dc.relation.ispartofNature Human Behaviour, 2021, vol. 5, p. 868-877-
dc.relation.urihttps://doi.org/10.1038/s41562-021-01139-z-
dc.rightscc by (c) Nivette, Amy E. et al., 2021-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.sourceArticles publicats en revistes (Psicologia Clínica i Psicobiologia)-
dc.subject.classificationConfinament (Emergència sanitària)-
dc.subject.classificationDelictes-
dc.subject.classificationCOVID-19-
dc.subject.otherConfinement (Sanitary emergency)-
dc.subject.otherCrime-
dc.subject.otherCOVID-19-
dc.titleA global analysis of the impact of COVID-19 stay-at-home restrictions on crime-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.identifier.idgrec721271-
dc.date.updated2025-02-17T15:51:46Z-
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
Appears in Collections:Articles publicats en revistes (Psicologia Clínica i Psicobiologia)

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