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Modelling

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Handbook of Systems and Complexity in Health

Abstract

Tacitly we all use models all the time to help us understand and operate in the world around us. Modelling is a formal approach to understanding the real world through a simplified external and explicit representation of a mental model which can be manipulated and tested, before being implemented back into the real world. Mikulecky described the underlying mental processes as summarised in Fig. 6.1.

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Notes

  1. 1.

     Some modelling methods are explained in greater detail at: http://www.systemswiki.org/index.php?title=Simulation_Methods.

  2. 2.

     All variable names appear in italic.

  3. 3.

     “+” sign next to the arrow indicates that the change in the variable at the tail of the arrow results in a change of the variable at the head of the arrow in the same direction.

  4. 4.

     Again “+” sign as the change occurs in the same direction.

  5. 5.

     Here we have a “−“ sign as the change will result in a change in the opposite direction.

  6. 6.

      Videocast/Podcast at http://videocast.nih.gov/Summary.asp?file=13712.

  7. 7.

     Interested readers are referred to the publications by Ceglowski et al. [14].

  8. 8.

    For a brief introduction and references see

    http://www.systemswiki.org/index.php?title=System_Dynamics; http://www.systemswiki.org/index.php?title=System_Dynamics_Methodology.

  9. 9.

     More detail of the model is available online at http://insightmaker.com/insight/1003.

  10. 10.

     More detail of the model is available online at http://insightmaker.com/insight/323.

  11. 11.

     This section is taken from unpublished work of my NZ colleague David Rees and Ahmad Azars’s papers and conference presentations (GM).

  12. 12.

     More detail of the model is available online at http://insightmaker.com/insight/318.

  13. 13.

    An unfolding of the arguments in the paper and link to the Insight is available on the Systemwiki website.

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Authors and Affiliations

  1. Department of General Practice, Monash University, Melbourne, VIC, Australia

    Joachim P. Sturmberg

  2. The Newcastle University, Newcastle , 3010, Wamberal, NSW, 2260, Australia

    Joachim P. Sturmberg

  3. National Stroke Research, Institute—Florey Neuroscience Institutes, Melbourne Brain Centre, Austin Health, 245 Burgundy Street, Heidelberg, VIC, 3084, Australia

    Leonid Churilov

  4. Department of Mathematics and Statistics, The University of Melbourne, Melbourne Brain Centre, Austin Health, 245 Burgundy Street, Heidelberg, VIC, 3084, Australia

    Leonid Churilov

  5. Department of Medicine, The University of Melbourne, Melbourne Brain Centre, Austin Health, 245 Burgundy Street, Heidelberg, VIC, 3084, Australia

    Leonid Churilov

  6. Centre for Health Informatics, University of New South Wales, 308, Waverley, NSW, 20 24, Australia

    Geoff McDonnell

Authors
  1. Joachim P. Sturmberg
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  2. Leonid Churilov
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  3. Geoff McDonnell
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Correspondence to Joachim P. Sturmberg .

Editor information

Editors and Affiliations

  1. , Department of General Practice, Monash University, PO Box 3010, Wamberal, 2260, New South Wales, Australia

    Joachim P. Sturmberg

  2. Northern Ontario School of Medicine, Merchandise Mart Plaza, Suite 1212 222, Chicago, 60654, Illinois, USA

    Carmel M. Martin

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Sturmberg, J.P., Churilov, L., McDonnell, G. (2013). Modelling. In: Sturmberg, J., Martin, C. (eds) Handbook of Systems and Complexity in Health. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4998-0_6

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  • DOI: https://doi.org/10.1007/978-1-4614-4998-0_6

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