Crossmark

Different lockdowns and theft: a Bayesian analysis of COVID-19's impact on urban crime in ZG City, China

Published Online: 2025-05-08

Authors

Huang, Xinhua

Long, Dongping https://orcid.org/0000-0001-8623-8586
Liu, Heng
Funding

Funding for this research was provided by:

National Natural Science Foundation (42271233)
License Information

Text and Data Mining valid from 2025-05-08

Version of Record valid from 2025-05-08
More Information

Article History

Received: 18 February 2025

Revised: 19 April 2025

Accepted: 23 April 2025

First Online: 8 May 2025

Declarations

:

: The authors declare no competing interests.

Document is current