Extending drug ethno-epidemiology using agent-based modelling

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.

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Main Authors: Moore, David, Dray, Anne, Green, Rachael, Hudson, Susan L., Jenkinson, Rebecca, Siokou, Christine, Perez, Pascal, Bammer, Gabriele, Maher, Lisa, Dietze, Paul
Format: article biblioteca
Language:eng
Subjects:U10 - Informatique, mathématiques et statistiques, 000 - Autres thèmes, modèle de simulation, substance toxique, groupe éthnique, http://aims.fao.org/aos/agrovoc/c_24242, http://aims.fao.org/aos/agrovoc/c_7825, http://aims.fao.org/aos/agrovoc/c_2678, http://aims.fao.org/aos/agrovoc/c_714,
Online Access:http://agritrop.cirad.fr/552091/
http://agritrop.cirad.fr/552091/1/document_552091.pdf
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spelling dig-cirad-fr-5520912024-01-28T17:46:11Z http://agritrop.cirad.fr/552091/ http://agritrop.cirad.fr/552091/ 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. Addiction, 104 (12) : 1991-1997.https://doi.org/10.1111/j.1360-0443.2009.02709.x <https://doi.org/10.1111/j.1360-0443.2009.02709.x> 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 eng 2009 Addiction U10 - Informatique, mathématiques et statistiques 000 - Autres thèmes modèle de simulation substance toxique groupe éthnique http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_7825 http://aims.fao.org/aos/agrovoc/c_2678 Australie http://aims.fao.org/aos/agrovoc/c_714 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. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/552091/1/document_552091.pdf application/pdf Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1111/j.1360-0443.2009.02709.x 10.1111/j.1360-0443.2009.02709.x info:eu-repo/semantics/altIdentifier/doi/10.1111/j.1360-0443.2009.02709.x info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1111/j.1360-0443.2009.02709.x
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic U10 - Informatique, mathématiques et statistiques
000 - Autres thèmes
modèle de simulation
substance toxique
groupe éthnique
http://aims.fao.org/aos/agrovoc/c_24242
http://aims.fao.org/aos/agrovoc/c_7825
http://aims.fao.org/aos/agrovoc/c_2678
http://aims.fao.org/aos/agrovoc/c_714
U10 - Informatique, mathématiques et statistiques
000 - Autres thèmes
modèle de simulation
substance toxique
groupe éthnique
http://aims.fao.org/aos/agrovoc/c_24242
http://aims.fao.org/aos/agrovoc/c_7825
http://aims.fao.org/aos/agrovoc/c_2678
http://aims.fao.org/aos/agrovoc/c_714
spellingShingle U10 - Informatique, mathématiques et statistiques
000 - Autres thèmes
modèle de simulation
substance toxique
groupe éthnique
http://aims.fao.org/aos/agrovoc/c_24242
http://aims.fao.org/aos/agrovoc/c_7825
http://aims.fao.org/aos/agrovoc/c_2678
http://aims.fao.org/aos/agrovoc/c_714
U10 - Informatique, mathématiques et statistiques
000 - Autres thèmes
modèle de simulation
substance toxique
groupe éthnique
http://aims.fao.org/aos/agrovoc/c_24242
http://aims.fao.org/aos/agrovoc/c_7825
http://aims.fao.org/aos/agrovoc/c_2678
http://aims.fao.org/aos/agrovoc/c_714
Moore, David
Dray, Anne
Green, Rachael
Hudson, Susan L.
Jenkinson, Rebecca
Siokou, Christine
Perez, Pascal
Bammer, Gabriele
Maher, Lisa
Dietze, Paul
Extending drug ethno-epidemiology using agent-based modelling
description 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.
format article
topic_facet U10 - Informatique, mathématiques et statistiques
000 - Autres thèmes
modèle de simulation
substance toxique
groupe éthnique
http://aims.fao.org/aos/agrovoc/c_24242
http://aims.fao.org/aos/agrovoc/c_7825
http://aims.fao.org/aos/agrovoc/c_2678
http://aims.fao.org/aos/agrovoc/c_714
author Moore, David
Dray, Anne
Green, Rachael
Hudson, Susan L.
Jenkinson, Rebecca
Siokou, Christine
Perez, Pascal
Bammer, Gabriele
Maher, Lisa
Dietze, Paul
author_facet Moore, David
Dray, Anne
Green, Rachael
Hudson, Susan L.
Jenkinson, Rebecca
Siokou, Christine
Perez, Pascal
Bammer, Gabriele
Maher, Lisa
Dietze, Paul
author_sort Moore, David
title Extending drug ethno-epidemiology using agent-based modelling
title_short Extending drug ethno-epidemiology using agent-based modelling
title_full Extending drug ethno-epidemiology using agent-based modelling
title_fullStr Extending drug ethno-epidemiology using agent-based modelling
title_full_unstemmed Extending drug ethno-epidemiology using agent-based modelling
title_sort extending drug ethno-epidemiology using agent-based modelling
url http://agritrop.cirad.fr/552091/
http://agritrop.cirad.fr/552091/1/document_552091.pdf
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