Extending drug ethno-epidemiology using agent-based modelling

Moore David, Dray Anne, Green Rachael, Hudson Susan L., Jenkinson Rebecca, Siokou Christine, Perez Pascal, Bammer Gabriele, Maher Lisa, Dietze Paul. 2009. Extending drug ethno-epidemiology using agent-based modelling. Addiction, 104 (12) : 1991-1997.

https://doi.org/10.1111/j.1360-0443.2009.02709.x

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Quartile : Q1, Sujet : SUBSTANCE ABUSE (Social Sciences) / Quartile : Q1, Sujet : PSYCHIATRY (Social Sciences) / Quartile : Q1, Sujet : SUBSTANCE ABUSE (Science) / Quartile : Q1, Sujet : PSYCHIATRY (Science)

Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Psychologie-éthologie-ergonomie

Résumé : Aims To showhowthe 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. Participantswere aged 18-30 years and reported monthly ormore 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.

Mots-clés Agrovoc : modèle de simulation, substance toxique, groupe éthnique

Mots-clés géographiques Agrovoc : Australie

Mots-clés complémentaires : Drogue

Classification Agris : U10 - Informatique, mathématiques et statistiques
000 - Autres thèmes

Champ stratégique Cirad : Hors axes (2005-2013)

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