TreatMethHarm: An Agent-Based Simulation of How People Who Use Methamphetamine Access Treatment

Authored by David Moore, Paul Dietze, Francois Lamy, Brendan Quinn, Robyn Dwyer, Nicola Thomson

Date Published: 2016

DOI: 10.18564/jasss.3069

Sponsors: Australian National Health and Medical Research Council (NHMRC) Australian Government

Platforms: NetLogo StarLogo

Model Documentation: Other Narrative Flow charts Mathematical description

Model Code URLs: Model code not found

Abstract

Methamphetamine use in Australia has recently attracted considerable attention due to increased human and social costs. Despite evidences indicating increasing methamphetamine-related harm and significant numbers of frequent and dependent users, methamphetamine treatment coverage remains low in Australia. This paper aims to investigate the complex interplay between methamphetamine use and treatment-related access by designing an agent-based model, using epidemiological data and expert-derived assumptions. This paper presents the architecture and core mechanisms of an agent-based model, TreatMethHarm, and details the results of model calibration performed by testing the key model parameters. At this stage of development, TreatMethHarm is able to produce proportions of methamphetamine users that replicate those produced by our epidemiological survey. However, this agent-based model still requires additional information and further tests before validation. TreatMethHarm provides a useful tool to elicit dialogue between researchers from different disciplines, integrate a variety of data and identify missing information.

Tags

behavior Model Australia Adolescents Cigarette-smoking Addiction Trends