2020
DOI: 10.31235/osf.io/mbj9p
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Understanding digital drug markets through the geography of postal drug deliveries in Scotland

Abstract: An increase in the use of postal services to deliver drugs purchased online raises concerns about widening access to drugs markets, especially in remote and rural areas that were previously protected by geographical boundaries. Yet, little is known about the geographical patterning of drugs delivered through the post. Using a novel law enforcement dataset containing details of illegal drug packages intercepted by UK Border Force en-route to Scotland, we examine the geographical destination of drugs purchased … Show more

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(4 citation statements)
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“…This included a mixture of LAAs with large urban populations in the West of Scotland, such as Glasgow and Renfrewshire, and some extremely remote and rural LAAs in the North of Scotland, including the Highlands, and the Shetland and Western Isles. Previous analysis of NCA data (Matthews et al, 2021) found evidence of spatial clustering of seized drug parcels at datazone level – especially within remote and rural locations of Scotland. This could be suggestive of strategic purchasing activity, where larger numbers of smaller parcels are purchased in an attempt to evade law enforcement detection or prosecution (see Densley et al, 2018).…”
Section: Discussionmentioning
confidence: 97%
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“…This included a mixture of LAAs with large urban populations in the West of Scotland, such as Glasgow and Renfrewshire, and some extremely remote and rural LAAs in the North of Scotland, including the Highlands, and the Shetland and Western Isles. Previous analysis of NCA data (Matthews et al, 2021) found evidence of spatial clustering of seized drug parcels at datazone level – especially within remote and rural locations of Scotland. This could be suggestive of strategic purchasing activity, where larger numbers of smaller parcels are purchased in an attempt to evade law enforcement detection or prosecution (see Densley et al, 2018).…”
Section: Discussionmentioning
confidence: 97%
“…The locus of both seized parcels and controlled deliveries was highly clustered in some areas and very sparse in others (Matthews et al 2021). The sparsity of the data made it challenging to implement traditional statistical methods, as low sample size can affect statistical power, which can yield non-significant or potentially biased results (Gelman, 2013; Kruschke, 2014).…”
Section: Area-based Variablesmentioning
confidence: 99%
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