scholarly journals Drug offence detection during the pandemic: A spatiotemporal study of drug markets

2021 ◽  
Vol 77 ◽  
pp. 101851
Author(s):  
Jason L. Payne ◽  
Cameron T. Langfield
Keyword(s):  
2021 ◽  
Author(s):  
Jason Leslie Payne ◽  
Cameron Thomas Langfield

In many parts of the world, the social mobility restrictions and stay-at-home orders introduced during the early months of the COVID-19 pandemic have been associated with significant reductions in crime. However, contrary to this general finding, illicit drug offence detections increased significantly. In this study, we explore the geographical distribution of the increase in Queensland, Australia, using spatiotemporal generalised additive model (GAM) to identify locations in the Local Government Area (LGA) of Brisbane where drug offence detection rates were unusually high during the three months of the COVID-19 lockdown (April-June 2020). Contrary to expectation, we find that the increase in drug offence detection rates appears to have been modest in most places, but widespread and diffuse throughout the city. We conclude that drug offence detections are most likely to have increased incidentally, probably as a consequence of general street policing initiatives which saw an increase in the visibility and vulnerability of drug user communities. We do, however, identify five locations in Brisbane where the drug offence detection rate exceeded the prediction by a considerable margin (in one case, more than double the worst case prediction). We argue that in these locations the increase was likely the result of some spatial displacement of inner-city drug markets coupled with a series of targeted policing activities. Further research is needed to clarify the true mechanism of change in these locations.


2021 ◽  
Author(s):  
Jason Leslie Payne ◽  
Cameron Thomas Langfield

Research on COVID-19 and crime has so far shown that most crime types declined, especially in the early months of the pandemic. Illicit drug offences were a notable exception, however few studies have considered changes at specific drug market locations. This study documents how key drug markets were affected during the lockdown. Using a spatiotemporal generalised additive model (GAM), this study examines the pattern of drug offence detection throughout the city of Brisbane, Australia and identifies areas of change during lockdown. Statistical meshblock analysis is used to illustrate discrete changes at key market locations. Contrary to aggregate-level analysis, we show that several of the major drug markets experienced a significant decline in drug offence detections, but that these local changes were offset by a displacement to neighbouring areas. We also find some preliminary evidence of the emergence of new outer-urban markets. Existing drug markets were adversely affected by the COVID-19 lockdown, however drug market activity was likely displaced rather than diminished.


Author(s):  
Clarissa Penfold ◽  
Paul J. Turnbull ◽  
Russell Webster

2021 ◽  
pp. 002242782098684
Author(s):  
Richard Rosenfeld ◽  
Joel Wallman ◽  
Randolph Roth

Objectives: Evaluate the relationship between the opioid epidemic and homicide rates in the United States. Methods: A county-level cross-sectional analysis covering the period 1999 to 2015. The race-specific homicide rate and the race-specific opioid-related overdose death rate are regressed on demographic, social, and economic covariates. Results: The race-specific opioid-related overdose death rate is positively associated with race-specific homicide rates, net of controls. The results are generally robust across alternative samples and model specifications. Conclusions: We interpret the results as reflecting the violent dynamics of street drug markets, although more research is needed to draw definitive conclusions about the mechanisms linking opioid demand and homicide.


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