Hourly arrival pattern added to IM-663 A work in progress model for ED daily average flows based on reported statistics by triage category with all triage categories aggregated. Based on a hospital performance report from  http://www.bhi.nsw.gov.au/publications/hospital_quarterly_3 

See IM-8221 for Triage splits WIP

Adapted from Fig.1.from Ana V Diez Roux (2011) Complex Systems Thinking May Help Us Transcend Current Impasses in Health Disparities Research Am J Public Health 2011;101 1627-1634 http://ajph.aphapublications.org/cgi/content/abstract/101/9/1627?etoc

Adapted from ​Systems approaches to public health by Alan Shiell and Penny Hawe See also Health System Efficiency IM and specific health outcome logic diagram example IM

Reported services via medicare statistics and healthy communities (hc) PHN reports

This model is based on the article Dynamic modeling of Infectious Diseases, An application to Economic Evaluation of Influenza Vaccination Farmacoeconomics 2008, 26(1): 45-56 .

And EBOLA

A network view of IM-731.Combination of several other insights under the regional tag, inspired by Padgett and Powell IM-9044

From MIT ESD work (de Weck Ilities ) esp on Survivability (Medecki) http://bit.ly/HVsceb and Unarticulated Value (Ross) 2006 PhD pdf

Downstream and upstream responses, from Jack Homer , Gary HIrsch and Bobby Milstein. Chronic Illness in a Complex Health Economy  Syst. Dyn. Rev. 23, 313-343 (2007). Conference paper available at  http://bit.ly/JCO68V

Full mind map version following modelling and simulation

Kermack–McKendrick Epidemic SIR Infectious Disease Model - Metrics by Guy Lakeman

This is a simple SIR infectious diseases 3 stock model with Susceptibles, Infectives and Recovereds stocks. In the initial description the R signified Removed and could include Deaths, Recovered with immunity to infection (Resistant) or those who had fled the epidemic. Note the need to initiate the epidemic by adding a pulse of a single infected person at time 0.

Festinger's theory of cognitive dissonance represented in feedback loops, relevant to defensive behaviours, goal conflict in PCT and mental health  From p256 Fig 4.23 of George Richardson (1991) Book Feedback Thought in Social Science and Systems Theory,. Book reviewed here 

IPCC Extreme weather events combined context diagrams  FBE WIP

From PLOS One Article April 2012 Worni, M et al System Dynamics to Model the Unintended Consequences of Denying Payment for Venous Thromboembolism after Total Knee Arthroplasty

Causal Loop Diagram CLD version of Insight 339. A simple workforce supply chain like Insight 162 with optimal intake policy taking into account the target for professionals and the trainees already in the pipeline.

Attempting to outdo an opponent leads to escalation. A weaker response leads to De-escalation. A slightly more complex  form of Insight 972.  ​Z508 p36-38 System Zoo 3 by Hartmut Bossel.

Simple Bass diffusion modified from Sterman Business Dynamics Ch9. Compare with the SI infectious disease model Insight 584.

WIP based on Nate Osgood's Motivation for Dynamic Simulation Models in System Science Lecture see Youtube video at 20:34

WIP based on WHO Decade of Healthy Ageing baseline report  2020 Annex

From David Rees PhD dissertation "Developing a Theory of Implementation for Better Chronic Health Management" Health Services Research Centre, Victoria University of Wellington, New Zealand

From blog entry understandingsociety

Meaning and Causation. Expanded from IM-1163

Linked concept version of Tanner's Clinical Judgment Model

Dynamic system underlying project life cycles From Roberts Edward B The Dynamics of Research and Development p5 Harper & Row NY 1964

To avoid blood sugar spikes, eat first fiber, then proteins and fats, and lastly, carbohydrates: pasta and sweets in general.

This video shows how to use this model. It shows the blood glucose results when you adjust the time at which you eat each of these types of food.

The video was made by capturing the screen of this computer simulation model, based on System Dynamics, and is intended exclusively to conceptually show in an interactive and dynamic way what happens to blood glucose when the order in which foods are eaten is changed, as described in detail in the book "Glucose Revolution: The Life-Changing Power of Balancing Your Blood Sugar" by Jessie Inchauspé.