Extending drug ethno-epidemiology using agent-based modelling

Journal Article


Abstract


  • 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.

Authors


  •   Moore, David R. (external author)
  •   Dray, Anne (external author)
  •   Green, Rachael (external author)
  •   Hudson, Susan L. (external author)
  •   Jenkinson, Rebecca (external author)
  •   Siokou, Christine (external author)
  •   Perez, Pascal
  •   Bammer, Gabriele (external author)
  •   Maher, Lisa (external author)
  •   Dietze, Paul (external author)

Publication Date


  • 2009

Citation


  • Moore, D. R., Dray, A., Green, R., Hudson, S. L., Jenkinson, R., Siokou, C., Perez, P., Bammer, G., Maher, L. & Dietze, P. (2009). Extending drug ethno-epidemiology using agent-based modelling. Addiction, 104 (12), 1991-1997.

Scopus Eid


  • 2-s2.0-70449432797

Ro Metadata Url


  • http://ro.uow.edu.au/smartpapers/87

Number Of Pages


  • 6

Start Page


  • 1991

End Page


  • 1997

Volume


  • 104

Issue


  • 12

Place Of Publication


  • http://onlinelibrary.wiley.com/doi/10.1111/j.1360-0443.2009.02709.x/pdf

Abstract


  • 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.

Authors


  •   Moore, David R. (external author)
  •   Dray, Anne (external author)
  •   Green, Rachael (external author)
  •   Hudson, Susan L. (external author)
  •   Jenkinson, Rebecca (external author)
  •   Siokou, Christine (external author)
  •   Perez, Pascal
  •   Bammer, Gabriele (external author)
  •   Maher, Lisa (external author)
  •   Dietze, Paul (external author)

Publication Date


  • 2009

Citation


  • Moore, D. R., Dray, A., Green, R., Hudson, S. L., Jenkinson, R., Siokou, C., Perez, P., Bammer, G., Maher, L. & Dietze, P. (2009). Extending drug ethno-epidemiology using agent-based modelling. Addiction, 104 (12), 1991-1997.

Scopus Eid


  • 2-s2.0-70449432797

Ro Metadata Url


  • http://ro.uow.edu.au/smartpapers/87

Number Of Pages


  • 6

Start Page


  • 1991

End Page


  • 1997

Volume


  • 104

Issue


  • 12

Place Of Publication


  • http://onlinelibrary.wiley.com/doi/10.1111/j.1360-0443.2009.02709.x/pdf