Bibliography of relevant academic works
Tobacco control & smoking cessation
Tobias MI, Cavana RY, Bloomfield A. Application of a system dynamics model to inform investment in smoking cessation services in New Zealand. Am J Public Health 2010; 100(7): 1274-81.
Warner KE, Smith RJ, Smith DG, Fries BE. Health and economic implications of a work-site smoking-cessation program: a simulation analysis. J Occup Environ Med 1996; 38(10): 981-92.
Cavana RY, Clifford LV. Demonstrating the utility of system dynamics for public policy analysis in New Zealand: the case of excise tax policy on tobacco. System Dynamics Review 2006; 22: 321-48.
Cavana RY, Tobias M. Integrative system dynamics: analysis of policy options for tobacco control in New Zealand. Systems Res Behav Sci 2009; 25: 675-94.
Gao A, Osgood ND, An W, Dyck RF. A tripartite hybrid model architecture for investigating health and cost impacts and intervention tradeoffs for diabetic end-stage renal disease. In: Savannah G, editor. Winter Simulation Conference 2014; Savannah, GA: IEEE Press, Piscataway, NJ, USW; 2014. p. 1676-87.
Osgood ND, Dyck RF, Grassmann WK. The inter- and intragenerational impact of gestational diabetes on the epidemic of type 2 diabetes. Am J Public Health 2011; 101(1): 173-9.
Loyo HK, Batcher C, Wile K, Huang P, Orenstein D, Milstein B. From model to action: using a system dynamics model of chronic disease risks to align community action. Health Promot Pract 2013; 14(1): 53-61.
Hirsch G, Homer J, Evans E, Zielinski A. A system dynamics model for planning cardiovascular disease interventions. Am J Public Health 2010; 100(4): 616-22.
Diet, physical activity and obesity
Sabounchi NS, Hovmand PS, Osgood ND, Dyck RF, Jungheim ES. A novel system dynamics model of female obesity and fertility. Am J Public Health 2014; 104(7): 1240-6.
Zhang J, Tong L, Lamberson PJ, Durazo-Arvizu RA, Luke A, Shoham DA. Leveraging social inﬂuence to address overweight and obesity using agent-based models: the role of adolescent social networks. Social Science and Medicine 2015; 125: 203-13.
Zhang D, Giabbanelli PJ, Arah OA, Zimmerman FJ. Impact of different policies on unhealthy dietary behaviors in an urban adult population: an agent-based simulation model. Am J Public Health 2014; 104(7): 1217-22.
Widener MJ, Metcalf SS, Bar-Yam Y. Agent-based modeling of policies to improve urban food access for low-income populations. Applied Geography 2013; 40: 1-10.
Yang YR, Diez Roux AV, Auchincloss AH, Rodriguez DA, Brown DG. Exploring walking differences by socioeconomic status using a spatial agent-based model. Health Place 2012; 18(96-99).
Heffernan M, Atkinson J, McDonnell G, et al. Reducing Childhood Overweight and Obesity: Can the target be reached by 2025? 35th International Conference of the System Dynamics Society. Cambridge, Massachusetts, USA: System Dynamics Society; 2017.
Drug and alcohol misuse and harms
Jo-An Atkinson, Ante Prodan, Michael Livingston, Dylan Knowles, Eloise O’Donnell, Robin Room, Devon Indig, Andrew Page, Geoff McDonnell, John Wiggers. Impacts of licensed premises trading hour policies on alcohol-related harms. Addiction Journal, 3 Feb 2018; doi: 10.1111/add.14178.
Jo-An Atkinson, Dylan Knowles, John Wiggers, Michael Livingston, Robin Room, Ante Prodan, et al. Harnessing advances in computer simulation to inform policy and planning to reduce alcohol-related harms. International Journal of Public Health 2017; Oct 19: doi: 10.1007/s00038-017-1041-y).
McKelvie D, Wolstenholme E, Arnold S, Monk D. Using system dynamics to plan investment in alcohol services. 29th International Conference of the System Dynamics Society; 2011; Washington, DC: System Dynamics Society; 2011.
Chalmers J, Ritter A, Heffernan M, McDonnell G. Modelling pharmacotherapy maintenance in Australia. A report prepared for the Australian National Council on Drugs Sydney, Australia: Drug Policy Modelling Program, University of New South Wales, 2009: http://www.atoda.org.au/wp-content/uploads/rp19_modelling.pdf.
Scott N, Hart A, Wilson J, Livingston M, Moore D, Dietze P. The effects of extended public transport operating hours and venue lockout policies on drinking-related harms in Melbourne, Australia: Results from SimDrink, an agent-based simulation model. Int J Drug Policy 2016; 32: 44-9.
Wakeland W, Nielsen A, Schmidt TD, et al. Modeling the impact of simulated educational interventions on the use and abuse of pharmaceutical opioids in the United States: a report on initial efforts. Health Educ Behav 2013; 40(1 Suppl): 74S-86S.
Scott N, Livingston M, Hart A, Wilson J, Moore D, Dietze. SimDrink: An Agent-Based NetLogo Model of Young, Heavy Drinkers for Conducting Alcohol Policy Experiments. Journal of Artificial Societies and Social Simulation 2016; 19(1): 10.
Giabbanellia P, Crutzenb R. An Agent-Based Social Network Model of Binge Drinking Among Dutch Adults. Journal of Artificial Societies and Social Simulation 2013; 16(2): 10.
Fitzpatrick B, Martinez J, Polidan E, Angelis E. The Big Impact of Small Groups on College Drinking. Journal of Artificial Societies and Social Simulation 2015; 18(3): 4.
Jo-An Atkinson, Eloise O’Donnell, John Wiggers, Geoff McDonnell, Jo Mitchell, Louise Freebairn, Devon Indig and Lucie Rychetnik. Dynamic simulation modelling of policy responses to reduce alcohol-related harms: rationale and procedure for a participatory approach. Public Health Research & Practice, 2017, 27 (1).
Page A, Atkinson JA, Heffernan M, McDonnell G, Hickie I. A decision-support tool to inform Australian strategies for preventing suicide and suicidal behaviour. Public Health Res Pract 2017; 27(2).
Andrew Page, Jo-An Atkinson, William Campos, Mark Heffernan, Shahana Ferdousi, Adrian Power, Nereus Maranan, Ian Hickie. A decision support tool to inform local suicide prevention activity in Greater Western Sydney (Australia). Australian and New Zealand Journal of Psychiatry, April 19, 2018 https://doi.org/10.1177/0004867418767315
Silverman BG, Hanrahan N, Bharathy G, et al. A systems approach to healthcare: agent-based modeling, community mental health, and population well-being. Artif Intell Med 2015; 63: 61-71.