Operationalizing the risk environment: spatial distribution of people who inject drugs and hotspots of social injecting activity in Montreal, Canada


Author: Minoyan N, Artenie AA1, Høj S, Jacka B, Jutras-Aswad D, Sylvestre MP, Bruneau J

Theme: Epidemiology & Public Health Research Year: 2019

Background:
People who inject drugs (PWID) are considered a priority population in global HCV elimination efforts. It
is acknowledged that drug harms are concentrated within specific social and geographic spaces (“risk
environments”). Identifying these spaces may improve targeting of public health interventions.
Aims:
i) Describe geographic dwelling and injecting spaces occupied by PWID in Montreal between 2004-2017;
ii) Identify areas demonstrating heightened clustering of social injecting locations (“hotspots”);
iii) Examine potential period effects reflecting evolving drug epidemics.
Methods:
Data were drawn from HEPCO, a longitudinal cohort study established to examine individual and
contextual determinants of HCV infection (eligibility criteria: age ≥18, self-reported injection in the
previous 6 months). At regular (6/3-monthly) visits, trained interviewers collect sociodemographic and
behavioural data, and nurses perform HCV testing. Participants report the postcode of the place they
slept most often in the past month (“dwelling location”) and where they most recently injected with
(an)other person(s) present (“injecting location”). Analyses: Spatial analyses were performed in R,
ArcGIS and GeoDa. Period effects were assessed by analyzing 2004-2010 and 2011-2017 eras separately.
The Getis-Ord-Gi* statistic was used to identify hotspots (areas demonstrating significant clustering of
injecting locations; null hypothesis: random distribution across Montreal island).
Results: 1540 participants reported 9489 dwelling (2296 unique) and 3892 (1416 unique) injecting
postcodes. Across both time periods, injecting locations were concentrated in the downtown area,
whereas dwelling locations were more dispersed. The mean centres of dwelling and injecting locations
have remained stable over time, however, deviation from these centres was greater in 2011-2017,
suggesting geographical expansion over time. Results of hotspot analyses suggest a core area in the
downtown/old town that has expanded over time, with an emerging hotspot further south.
Conclusion: Geographic expansion and emergence of social injecting hotspots call for ongoing
assessment of risk environments and adaptation of harm reduction strategies.
Disclosure of Interest Statement:
NM and AAA are supported through CanHepC PhD trainee scholarships. JB is receiving advisor fees from
Gilead Sciences and Merck and a research grant from Gilead Sciences, outside of this current work.
None of the other authors have commercial relationships that may pose a conflict of interest in
connection with this work.

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