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

From the Plausibility of life book esp p 220-227  Constraints that deconstrain

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

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

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

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

A simple medical workforce model of doctor flows, population and service growth.

A starter on human service delivery derived from IM-621 to introduce the more complex IM-731 generic rich picture view of interactions among concerned people with needs services and resources and abilities (including learning), which can be used as a pattern for many individual health care insights.

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

Concept map about how a thermostat works. Slightly adapted from http://cmap.ihmc.us/docs/linkingwords.html See how this changed after SD modelling at IM-736

WIP expanding Sense of Coherence using simplified diagrams from super 2016 article,  amirkhan 2003 article and polhuis 2020 article

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

Full mind map version following modelling and simulation

Hypertension Generic Patient Flow Causal Loop Diagram version of Insight 305

WIP based on Mascia2017 Analyzing conservation strategies article and other mostly private insights. A more detailed form of structure agency IM-1163

Potential Diagnostic Error flows based on Schiff's Diagnostic Error Categories

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.

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.

Clone of IM-93836 with Health Expenditure australia 2016-7 Table A3 added with change

Linked concept version of Tanner's Clinical Judgment Model

Coping but not coping in health and social care: masking the reality of running organisations beyond safe design capacity. From Eric Wolstenholme Syst. Dyn. Rev. 23, 371–389, (2007) abstract See IM-1008 for a stock flow version. Click the Start Story feature at the bottom left.