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Extending drug ethno-epidemiology using agent-based modelling

Authors


David Moore, National Drug Research Institute, Melbourne Office, 7/19–35 Gertrude Street, Fitzroy, VIC 3065, Australia. E-mail: d.moore@curtin.edu.au

ABSTRACT

Aims  To show how the inclusion of agent-based modelling improved the integration of ethno-epidemiological data in a study of psychostimulant use and related harms among young Australians.

Methods  Agent-based modelling, ethnographic fieldwork, in-depth interviews and epidemiological surveys.

Setting  Melbourne, Perth and Sydney, Australia.

Participants  Club drug users in Melbourne, recreational drug users in Perth and street-based injecting drug users in Sydney. Participants were aged 18–30 years and reported monthly or more frequent psychostimulant use.

Findings  Agent-based modelling provided a specific focus for structured discussion about integrating ethnographic and epidemiological methods and data. The modelling process was underpinned by collective and incremental design principles, and produced ‘SimAmph’, a data-driven model of social and environmental agents and the relationships between them. Using SimAmph, we were able to test the probable impact of ecstasy pill-testing on the prevalence of harms—a potentially important tool for policy development. The study also navigated a range of challenges, including the need to manage epistemological differences, changes in the collective design process and modelling focus, the differences between injecting and non-injecting samples and concerns over the dissemination of modelling outcomes.

Conclusions  Agent-based modelling was used to integrate ethno-epidemiological data on psychostimulant use, and to test the probable impact of a specific intervention on the prevalence of drug-related harms. It also established a framework for collaboration between research disciplines that emphasizes the synthesis of diverse data types in order to generate new knowledge relevant to the reduction of drug-related harms.

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