Translated from Hormone.stm in Dynamic Modeling in the Health Sciences James L hargrove, Springer 1998, Ch 24 p255-261, by Mark Heffernan.

Translated from Hormone.stm in Dynamic Modeling in the Health Sciences James L hargrove, Springer 1998, Ch 24 p255-261, by Mark Heffernan.

Clone of  IM-11079  ED Model for Daily ED Performance with 2 areas again, as in the previous  IM-10571 . Focus on shift performance by Specialist.
Clone of IM-11079 ED Model for Daily ED Performance with 2 areas again, as in the previous IM-10571. Focus on shift performance by Specialist.
 A causal loop diagram of thermostat action  including conversions between heat and temperature and outside temperature. (Insight 394) extended to include fiddling with the thermostat controls based on differential house and outside temperatures. The simulation model is at Insightmaker 393.

A causal loop diagram of thermostat action  including conversions between heat and temperature and outside temperature. (Insight 394) extended to include fiddling with the thermostat controls based on differential house and outside temperatures. The simulation model is at Insightmaker 393.

 Based on Ransohoff DF, McNaughton Collins M, Fowler FJ. Why is prostate cancer screening so common when the evidence is so uncertain? A system without negative feedback. Am J Med. 2002;113:663-7. See  IM-15991  for a generic Stock Flow Map

Based on Ransohoff DF, McNaughton Collins M, Fowler FJ. Why is prostate cancer screening so common when the evidence is so uncertain? A system without negative feedback. Am J Med. 2002;113:663-7. See IM-15991 for a generic Stock Flow Map

 
 Barry Richmond's model describing behavior and anxiety theory for the Milgram experiment. Richmond, B. (1977). “Generalization with Individual Uniqueness: Modeling the Milgram Experiments.” Technical Report D-2508-2, System Dynamics Group, Sloan School of Management, MIT. 
  Personal versus Situa

Barry Richmond's model describing behavior and anxiety theory for the Milgram experiment. Richmond, B. (1977). “Generalization with Individual Uniqueness: Modeling the Milgram Experiments.” Technical Report D-2508-2, System Dynamics Group, Sloan School of Management, MIT.

 Personal versus Situational Dynamics: Implications of Barry Richmond’s Models of Classic Experiments in Social Psychology by James K. Doyle, Khalid Saeed, Jeanine Skorinko Department of Social Science and Policy Studies Worcester Polytechnic Institute 2008

See also CLE Class Notes 2014

 The model starts in 1900. In the year 2000 you get the chance to set a new emission target and nominal time to reach it. Your aim is to have atmospheric CO2 stabilise at about 400 ppmv in 2100.  From Sterman, John D. (2008)  Risk Communication on Climate:  Mental Models and Mass Balance.  Science 3
The model starts in 1900. In the year 2000 you get the chance to set a new emission target and nominal time to reach it. Your aim is to have atmospheric CO2 stabilise at about 400 ppmv in 2100.  From Sterman, John D. (2008)  Risk Communication on Climate:  Mental Models and Mass Balance.  Science 322 (24 October): 532-533. Older version of IM-9283.
Shows the flow of organs from donors to recipients to explore places to improve the transplant rate
Shows the flow of organs from donors to recipients to explore places to improve the transplant rate
 From Tarek KA Hamid's Book Thinking in Circles About Obesity Springer 2009

From Tarek KA Hamid's Book Thinking in Circles About Obesity Springer 2009

 Addition of glucagon hormone action to control glucose homeostasis extended from  IM-586

Addition of glucagon hormone action to control glucose homeostasis extended from IM-586

WIP example of Services oriented multiscale computable narrative synthesis focussed on Coping carefully with diabetes
WIP example of Services oriented multiscale computable narrative synthesis focussed on Coping carefully with diabetes
 A simplified dynamic model, adapted from Engineering perspectives on healthcare delivery: Can we afford technological innovation in healthcare? Rouse, William B Systems Research and Behavioral Science 2009 Vol 26 (5) p573-582  abstract   Developed by Mark Heffernan. Addition of learning curve effec

A simplified dynamic model, adapted from Engineering perspectives on healthcare delivery: Can we afford technological innovation in healthcare? Rouse, William B Systems Research and Behavioral Science 2009 Vol 26 (5) p573-582 abstract  Developed by Mark Heffernan. Addition of learning curve effects IM-614 to Insight 435

A basic conceptual model to evaluate Government regulation of the food industry on community health and health & social costs. Would regulation have a negative impact on the overall budget in the short and longer term?
A basic conceptual model to evaluate Government regulation of the food industry on community health and health & social costs. Would regulation have a negative impact on the overall budget in the short and longer term?
A general model of flows between hospital and the community. An expanded version is at  IM-623
A general model of flows between hospital and the community. An expanded version is at IM-623
 Simple rich picture causal loop diagram of single and double loop learning (DLL). See Individual Learning  IM-616   See also  DLL simulation insight

Simple rich picture causal loop diagram of single and double loop learning (DLL). See Individual Learning IM-616  See also DLL simulation insight

10 months ago
 A general model of flows between hospital and the community with workshop elements. See also  IM-3200  for focus on frequent presenters with mental health issues

A general model of flows between hospital and the community with workshop elements. See also IM-3200 for focus on frequent presenters with mental health issues

 Forcings and feedbacks based on Tom Fiddaman, James Hansen and other feedback and cycle diagrams

Forcings and feedbacks based on Tom Fiddaman, James Hansen and other feedback and cycle diagrams

 Upgrade of Kermack–McKendrick Epidemic SIR Infectious Disease Model (circa 2015) - 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, Recove

Upgrade of Kermack–McKendrick Epidemic SIR Infectious Disease Model (circa 2015) - 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.

Addition of a slider for susceptibles is equivalent to accumulated total cases

SARS, MERS AND COVID are similar virus types only differing in their sub genus

The COVID outbreak has reached 150,000 infected people

This simulation allows an attempt at predicting how long the virus will persist and its longevity dependence on its high speed massive infection numbers that have reached pandemic proportions

SARS reached 8,000 infected total and ran for 9 months before stopping

MERS 2012 is still killing 8 years later with patients dying even after using interferon to try and cure them