Understanding Australian methylamphetamine drug markets through relational, temporal and spatial analyses.

Popovic, A; Morelato, M; Baechler, S; De Grazia, A; Tahtouh, M; Roux, C; Beavis, A

Understanding Australian methylamphetamine drug markets through relational, temporal and spatial analyses.

Popovic, A Morelato, M

Baechler, S De Grazia, A Tahtouh, M Roux, C

Beavis, A

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Publisher:: Wiley
Publication Type:: Journal Article
Citation:: Drug Testing and Analysis, 2022, 14, (3), pp. 481-495
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Popovic, A
dc.contributor.author	Morelato, M https://orcid.org/0000-0001-7616-0623
dc.contributor.author	Baechler, S
dc.contributor.author	De Grazia, A
dc.contributor.author	Tahtouh, M
dc.contributor.author	Roux, C https://orcid.org/0000-0003-3610-420X
dc.contributor.author	Beavis, A
dc.date.accessioned	2022-12-06T00:18:57Z
dc.date.available	2021-10-10
dc.date.available	2022-12-06T00:18:57Z
dc.date.issued	2022-01-01
dc.identifier.citation	Drug Testing and Analysis, 2022, 14, (3), pp. 481-495
dc.identifier.issn	1942-7603
dc.identifier.issn	1942-7611
dc.identifier.uri	http://hdl.handle.net/10453/164142
dc.description.abstract	In the area of illicit drugs, forensic case data have proven effective at detecting links between seizures and providing greater insights into illicit drug markets. This research explored the application of mathematical and statistical techniques to several chemical profiles of Australian methylamphetamine seizures. The main aim was to create and deliver a method that would expand the use of illicit drug profiling for strategic intelligence purposes, contributing to the fight against illicit drug trafficking. The use of comparison metrics and clustering analysis to determine links between existing illicit drug specimens and subsequent new specimens was evaluated and automated. Relational, temporal and spatial analyses were subsequently used to gain an insight into illicit drug markets. Relational analysis identified clusters of seizures central to the network. Temporal analysis then provided insights into the behaviour of distribution markets, specifically the emergence and extinction of certain clusters of seizures over time. Spatial analysis aided the understanding of the inter-jurisdictional nature of illicit drug markets. These analyses allowed for the generation of strategic intelligence relating to when and where the Australian methylamphetamine illicit drug market was the most active. Additionally, the strategic level trends identified clusters of seizures that were worth investigating further. These clusters were explored through a case study, which exploited additional chemical profiling data to provide drug market knowledge at an operational level. In turn, the intelligence produced at various levels could allow relevant law enforcement agencies to take necessary measures in disrupting markets.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Wiley
dc.relation	http://purl.org/au-research/grants/arc/LP160100352
dc.relation.ispartof	Drug Testing and Analysis
dc.relation.isbasedon	10.1002/dta.3181
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0301 Analytical Chemistry, 0601 Biochemistry and Cell Biology, 1115 Pharmacology and Pharmaceutical Sciences
dc.subject.classification	Analytical Chemistry
dc.subject.mesh	Australia
dc.subject.mesh	Drug Trafficking
dc.subject.mesh	Illicit Drugs
dc.subject.mesh	Methamphetamine
dc.subject.mesh	Spatial Analysis
dc.subject.mesh	Methamphetamine
dc.subject.mesh	Australia
dc.subject.mesh	Spatial Analysis
dc.subject.mesh	Drug Trafficking
dc.subject.mesh	Illicit Drugs
dc.title	Understanding Australian methylamphetamine drug markets through relational, temporal and spatial analyses.
dc.type	Journal Article
utslib.citation.volume	14
utslib.location.activity	England
utslib.for	0301 Analytical Chemistry
utslib.for	0601 Biochemistry and Cell Biology
utslib.for	1115 Pharmacology and Pharmaceutical Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Strength - CFS - Centre for Forensic Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2022-12-06T00:18:56Z
pubs.issue	3
pubs.publication-status	Published
pubs.volume	14
utslib.citation.issue	3

Abstract:

In the area of illicit drugs, forensic case data have proven effective at detecting links between seizures and providing greater insights into illicit drug markets. This research explored the application of mathematical and statistical techniques to several chemical profiles of Australian methylamphetamine seizures. The main aim was to create and deliver a method that would expand the use of illicit drug profiling for strategic intelligence purposes, contributing to the fight against illicit drug trafficking. The use of comparison metrics and clustering analysis to determine links between existing illicit drug specimens and subsequent new specimens was evaluated and automated. Relational, temporal and spatial analyses were subsequently used to gain an insight into illicit drug markets. Relational analysis identified clusters of seizures central to the network. Temporal analysis then provided insights into the behaviour of distribution markets, specifically the emergence and extinction of certain clusters of seizures over time. Spatial analysis aided the understanding of the inter-jurisdictional nature of illicit drug markets. These analyses allowed for the generation of strategic intelligence relating to when and where the Australian methylamphetamine illicit drug market was the most active. Additionally, the strategic level trends identified clusters of seizures that were worth investigating further. These clusters were explored through a case study, which exploited additional chemical profiling data to provide drug market knowledge at an operational level. In turn, the intelligence produced at various levels could allow relevant law enforcement agencies to take necessary measures in disrupting markets.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/164142