This common archetype of systems that include relapse or recidivism allows exploration of the unintended effects of increasing upstream capacity and swamping downstream capacity. The increase in the relapse rate eventually returns to swamp upstream capacity as well. A social welfare example, based

This common archetype of systems that include relapse or recidivism allows exploration of the unintended effects of increasing upstream capacity and swamping downstream capacity. The increase in the relapse rate eventually returns to swamp upstream capacity as well. A social welfare example, based on a TANF case study, from How Small System Dynamics Models Can Help the Policy Process. N. Ghaffarzadegan, J. Lyneis, GP Richardson. System Dynamics Review 27,1 (2011) 22-44 Conference version at http://bit.ly/HlxtZj See IM 1769 for updated simpler version without serialization of the downstream stock

 Nested multilevel inquiry across multiple levels of organization of biology concepts. Adapted from Knippels (2002) PhD Thesis at http://bit.ly/GGcKo1 . Note the similarity to the nested adaptive cycles of socio-ecological systems in IM 1169

Nested multilevel inquiry across multiple levels of organization of biology concepts. Adapted from Knippels (2002) PhD Thesis at http://bit.ly/GGcKo1 . Note the similarity to the nested adaptive cycles of socio-ecological systems in IM 1169

Clone of IM-91683 from jacqui and vincy Summary of paper map produced by participants at the compelling case for prevention workshop 6 june 2017. Current premier version for vincy to update
Clone of IM-91683 from jacqui and vincy Summary of paper map produced by participants at the compelling case for prevention workshop 6 june 2017. Current premier version for vincy to update
Clone of  IM-24317  for adding other funding insights Im-633 and 636 and contrasting economic drivers of mental health with other health care based on  JHPPL David Mechanic 2016 issue  articles, esp  Glied article  (paywalled) Backed up generic version at  IM-59166
Clone of IM-24317 for adding other funding insights Im-633 and 636 and contrasting economic drivers of mental health with other health care based on JHPPL David Mechanic 2016 issue articles, esp Glied article (paywalled) Backed up generic version at IM-59166
 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
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. Clone of IM-694 to run 1900 to 2100.
Rich picture version of causal loop diagram for medication errors, showing the importance of reporting, analyzing and fixing knowledge and process errors. Medication errors will tend to grow due to the use of more medications in more complex patients. This is exacerbated by the loss of staff knowled
Rich picture version of causal loop diagram for medication errors, showing the importance of reporting, analyzing and fixing knowledge and process errors. Medication errors will tend to grow due to the use of more medications in more complex patients. This is exacerbated by the loss of staff knowledge by turnover and goal erosion in places with harmful errors.
 Inspiration for the model: The Last of Us, a video game for PlayStation 4.      In this example, we used a system dynamics model to predict ​a spread of a dangerous infection called Cordyceps Brain Infection, which is immune to any type of antibiotics. In the beginning, the virus was carried by onl
Inspiration for the model: The Last of Us, a video game for PlayStation 4. 

In this example, we used a system dynamics model to predict ​a spread of a dangerous infection called Cordyceps Brain Infection, which is immune to any type of antibiotics. In the beginning, the virus was carried by only one person (Infected), which inhaled spores from a plant called cordyceps fungus. 

The Infected show their first symptoms after two days, as the infection attacks higher brain functions, making the infected highly aggressive and incapable of reason or rational thoughts. 

The infection can be transmitted via bodily fluids; such as saliva, or by inhaling spores from the afore mentioned plant. 

It is believed that the infection can last up to 10 years, before the host dies. 

Parameters such as Infectivity, Contact Rate and Immunization Rate can be adjusted, but as we are dealing with a highly infectious disease, the starting values are 0.97 (infectivity - in 97% of the cases, the infection will spread to another host); 5 (each infected attacks 5 susceptible person per day); and 0.0001 (only 1 infected per 10,000 infected gets the treatment, as the vaccine can be afforded only by the richest people on the Earth). 

Simulation time is set to 50 years. The purpose of this model is to simulate what kind of an effect a deadly infection would have on World's population, if the medicine could not find a cure, or if the cure would be available only for the richest people on the Earth. 

The simulation result shows that the Earth's population has been decimated with the disease, and that there are only 7,5 million people left on Earth. 
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 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 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 David Rees PhD dissertation "Developing a Theory of Implementation for Better Chronic Health Management" Health Services Research Centre, Victoria University of Wellington, New Zealand
Emergency care patient flows IM-6072 used as context to add confounders and potential unintended effects.
Emergency care patient flows IM-6072 used as context to add confounders and potential unintended effects.
 This models the progressive decline of the ability for self-reliance and the growing dependence on outside help. ​Z508 p39-42 System Zoo 3 by Hartmut Bossel. Strong outside help causes a collapse of self-help capacity. Weak outside help produces a stable combination of wellbeing and self-help capac

This models the progressive decline of the ability for self-reliance and the growing dependence on outside help. ​Z508 p39-42 System Zoo 3 by Hartmut Bossel. Strong outside help causes a collapse of self-help capacity. Weak outside help produces a stable combination of wellbeing and self-help capacity.

Expansion of  IM-24317  for adding other funding insights Im-633 and 636 . See also  IM-57110  contrasting economic drivers of mental health with other health care based on JHPPL David Mechanic 2016 issue articles, esp Glied
Expansion of IM-24317 for adding other funding insights Im-633 and 636 . See also IM-57110 contrasting economic drivers of mental health with other health care based on JHPPL David Mechanic 2016 issue articles, esp Glied
 Adapted from Fig.4, 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 Fig.4, 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

This is an insight about food-born pathogens and what factors are affected by it's outbreaks. This is a huge issue that is not very well-known. The pathogens in food has been increasing their resistance to antibiotics by mutations. Because we are generally using antibiotics more each day, the resist
This is an insight about food-born pathogens and what factors are affected by it's outbreaks. This is a huge issue that is not very well-known. The pathogens in food has been increasing their resistance to antibiotics by mutations. Because we are generally using antibiotics more each day, the resistance in these pathogens is growing more rapidly then it did before.
 The effects of subsidies and incentives for private health insurance on the mix of public and private hospital use. The central role of adverse selection/moral hazard on private health insurance sustainability. See also  updated version  around 2017

The effects of subsidies and incentives for private health insurance on the mix of public and private hospital use. The central role of adverse selection/moral hazard on private health insurance sustainability. See also updated version around 2017

 IM-1175 with computable arguments, based on ideas from Micropublications  paper  about Claims, Evidence, Representations and Context Networks

IM-1175 with computable arguments, based on ideas from Micropublications paper about Claims, Evidence, Representations and Context Networks

6 months ago
Summary of Zimmerman2013  article  (paywalled) Habit, custom, and power: A multi-level theory of population health. Also mapped to COM-B. See also  Dynamics in action IM ,  PCT Double Loop Learning IM  and  Structure Agency framework IM
Summary of Zimmerman2013 article (paywalled) Habit, custom, and power: A multi-level theory of population health. Also mapped to COM-B. See also Dynamics in action IMPCT Double Loop Learning IM and Structure Agency framework IM
8 months ago
 SIR model with herd immunity - Metrics by Guy Laekman   A Susceptible-Infected-Recovered (SIR) disease model with herd immunity

SIR model with herd immunity - Metrics by Guy Laekman

A Susceptible-Infected-Recovered (SIR) disease model with herd immunity