2026-05-02T16:09:56Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

beafa3d26df20d7a925ddfd88cf77da61368182ede5f171b42b4f69432c46aa6 2025-12-08T01:40:56Z language:enopenaire_data

A global analysis of the impact of COVID-19 stay at home restrictions on crime A global analysis of the impact of COVID-19 stay at home restrictions on crime doi:10.17026/DANS-XUF-A75Peasy-dataset:209618 AE Nivette 2021-05-04 DANS Data Station Social Sciences and Humanities 2021-05-04 Social SciencesCOVID-19counts of crime <p>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 26 cities across 22 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.</p> https://ssh.datastations.nl/oai doi:10.17026/DANS-XUF-A75P 2025-12-03T01:00:35Z ddi:codebook:2_5