Bibliography of relevant academic works

Topic Area


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.

Cardiovascular disease

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:

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).

Mental health

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

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.