An exploration of interactions among 'fuzzy' qualitative concepts that interact to produce either tolerance or violent conflict. ​Z509 p43-49 System Zoo 3 by Hartmut Bossel.

An exploration of interactions among 'fuzzy' qualitative concepts that interact to produce either tolerance or violent conflict. ​Z509 p43-49 System Zoo 3 by Hartmut Bossel.

 Karim Chichakly's Baby Health Care System Model preceding more  complex hierarchical model  with more general non-US terms. Needs review of forecast trend and calibration
 Karim Chichakly's Baby Health Care System Model preceding more complex hierarchical model with more general non-US terms. Needs review of forecast trend and calibration
5 months ago
 Causal loop diagram based on Jack  Homer's  Worker burnout: a dynamic model with implications  for prevention and control See  IM-333  for simulation model and IM-641 for  Rich Picture CLD  
 System Dynamics Review 1985 1(1)42-62 
  

Causal loop diagram based on Jack  Homer's  Worker burnout: a dynamic model with implications  for prevention and control See IM-333 for simulation model and IM-641 for Rich Picture CLD

System Dynamics Review 1985 1(1)42-62

 

 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.
A simple 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.
A simple 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.
 Modelling prevalence of cardiovascular disease within a population using agent based modelling. The initial population is defined within Tools->Variables and macros.     This is a partial model that is not yet complete.
Modelling prevalence of cardiovascular disease within a population using agent based modelling. The initial population is defined within Tools->Variables and macros.

This is a partial model that is not yet complete.
WIP Based on Sheldrick Implementation science 2016  article  A system dynamics model of clinical decision thresholds for
the detection of developmental-behavioral disorders. Vensim model modified to show patterns   
WIP Based on Sheldrick Implementation science 2016 article A system dynamics model of clinical decision thresholds for the detection of developmental-behavioral disorders. Vensim model modified to show patterns

 

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

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

 Jones AP, Homer JB, Murphy DL, Essien JDK, Milstein B, Seville DA.  
 Understanding diabetes population dynamics through simulation modeling  
 and experimentation. American Journal of Public Health 2006;96(3):488-494. 
  http://ajph.aphapublications.org/cgi/content/abstract/96/3/488

Jones AP, Homer JB, Murphy DL, Essien JDK, Milstein B, Seville DA.

Understanding diabetes population dynamics through simulation modeling

and experimentation. American Journal of Public Health 2006;96(3):488-494.

http://ajph.aphapublications.org/cgi/content/abstract/96/3/488

 An exploration of interactions among 'fuzzy' qualitative concepts that interact to produce either tolerance or violent conflict. ​Z509 p43-49 System Zoo 3 by Hartmut Bossel.

An exploration of interactions among 'fuzzy' qualitative concepts that interact to produce either tolerance or violent conflict. ​Z509 p43-49 System Zoo 3 by Hartmut Bossel.

 Adapted from Fig 10.1 p.393 of the Book: James A. Forte ( 2007),  Human Behavior and The Social Environment: Models, Metaphors and Maps for Applying Theoretical Perspectives to Practice   Thomson Brooks/Cole Belmont ISBN 0-495-00659-9

Adapted from Fig 10.1 p.393 of the Book: James A. Forte ( 2007), Human Behavior and The Social Environment: Models, Metaphors and Maps for Applying Theoretical Perspectives to Practice  Thomson Brooks/Cole Belmont ISBN 0-495-00659-9

WIP for Whole of Hospital Program. Provides Context and Detail for Hospital Timeline Study  IM-9382
WIP for Whole of Hospital Program. Provides Context and Detail for Hospital Timeline Study IM-9382
 Rich picture version of Tanner's Clinical Judgment Model, with the addition of clinical reasoning cycle concepts from T Levett-Jones et al Nurse Education Today 30 (2010) 515-520

Rich picture version of Tanner's Clinical Judgment Model, with the addition of clinical reasoning cycle concepts from T Levett-Jones et al Nurse Education Today 30 (2010) 515-520

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
 Dynamics of Emergency Room Crowding with treatment spaces. Here we investigate the effect of constrained spaces and ignore any changes in treatment time or staffing effects. Many of the consequences occur before treatment with potential arrivals being turned away and arrivals leaving without being

Dynamics of Emergency Room Crowding with treatment spaces. Here we investigate the effect of constrained spaces and ignore any changes in treatment time or staffing effects. Many of the consequences occur before treatment with potential arrivals being turned away and arrivals leaving without being treated.  

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
WIP summaries of  bill mitchell's blog  postings related to the connections between macroeconomics and wellbeing, particularly via unemployment and inflation
WIP summaries of bill mitchell's blog postings related to the connections between macroeconomics and wellbeing, particularly via unemployment and inflation
A SEIR Model of SARS Pandemic With Isolation and Quarantine, based on Introduction to Computational Science by Shiflet and Shiflet    Quarantine is when someone exposed to infected people, whether infected or not, and advised to stay at home.     Isolation is when someone exposed to infected people,
A SEIR Model of SARS Pandemic With Isolation and Quarantine, based on Introduction to Computational Science by Shiflet and Shiflet

Quarantine is when someone exposed to infected people, whether infected or not, and advised to stay at home.

Isolation is when someone exposed to infected people, get infected, detected, and send to hospital.

Assumption:
- No births
- Dead only caused by SARS
- Contact between susceptible and infected are constant. Contact does not affected by population density
- Quarantine factor for susceptible and exposed is same.
- Quarantine and isolation is fully efective. Someone who quarantined or isolated cannot transmit or exposed to SARS
- Someone who has already recovered from SARS gained fully effective immunity, thus cannot re-infected
 Here we have a basic SEIR model and we will investigate what changes would be appropriate for modelling the 2019 Coronavirus.  We add simple containment meassures that affect two paramenters, the Susceptible population and the rate to become infected.  The initial parametrization is based on the su

Here we have a basic SEIR model and we will investigate what changes would be appropriate for modelling the 2019 Coronavirus.

We add simple containment meassures that affect two paramenters, the Susceptible population and the rate to become infected.

The initial parametrization is based on the suggested current data. The initial population is set for Catalonia.

The questions that we want to answer in this kind of models are not the shape of the curves, that are almost known from the beginning, but, when this happens, and the amplitude of the shapes. This is crucial, since in the current circumstance implies the collapse of certain resources, not only healthcare.

The validation process hence becomes critical, and allows to estimate the different parameters of the model from the data we obtain. This simulation approach allows to obtain somethings that is crucial to make decisions, the causality. We can infer this from the assumptions that are implicit on the model, and from it we can make decisions to improve the system behavior.

Yes, simulation works with causality and Flows diagrams is one of the techniques we have to draw it graphically, but is not the only one. On https://sdlps.com/projects/documentation/1009 you can review soon the same model but represented in Specification and Description Language.

 A Rich Picture Story representation of ED overcrowding based on Using system dynamics principles for conceptual modelling of publicly funded hospitals] by HJ Wong et al Journal of the Operational Research Society 63, 79-88 (January 2012) | doi:10.1057/jors.2010.164 Click the +view story on the bott

A Rich Picture Story representation of ED overcrowding based on Using system dynamics principles for conceptual modelling of publicly funded hospitals] by HJ Wong et al Journal of the Operational Research Society 63, 79-88 (January 2012) | doi:10.1057/jors.2010.164 Click the +view story on the bottom left

 Hypertension Generic Patient Flow Causal Loop Diagram version of Insight 305

Hypertension Generic Patient Flow Causal Loop Diagram version of Insight 305

See reference in diagram notes. WIP for Environment part of primary care regional model. GP centric calibration by JPS at  IM-14117  See also  IM-3126  for Regional Health Service Use Context
See reference in diagram notes. WIP for Environment part of primary care regional model. GP centric calibration by JPS at IM-14117 See also IM-3126 for Regional Health Service Use Context