Based on Psychological Medicine Dec 2015  article   Depression as a systemic syndrome: mapping the feedback loops of major depressive disorder  by A. K. Wittenborn, H. Rahmandad, J. Rick and N. Hosseinichimeh, mentioned  here
Based on Psychological Medicine Dec 2015 article Depression as a systemic syndrome: mapping the feedback loops of major depressive disorder by A. K. Wittenborn, H. Rahmandad, J. Rick and N. Hosseinichimeh, mentioned here
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
A combination of qualitative and quantitative methods for implementing a systems approach, including virtual intervention experiments using computer simulation models. See also  Complex Decision Technologies IM  Interventions and leverage points added in  IM-1400  (complex!)
A combination of qualitative and quantitative methods for implementing a systems approach, including virtual intervention experiments using computer simulation models. See also Complex Decision Technologies IM
Interventions and leverage points added in IM-1400 (complex!)
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
 
 Adapted from Fig 13.1 p.523 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 13.1 p.523 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

 A simple glucose regulation causal loop diagram taken from Richard O. Foster, 1970: The Dynamics of blood sugar regulation, MSc thesis, MIT Dept of Electrical Engineering, available on the MIT System Dynamics Group Literature Collection and in the MIT Electronic Libraries. See  IM-587  for Addition

A simple glucose regulation causal loop diagram taken from Richard O. Foster, 1970: The Dynamics of blood sugar regulation, MSc thesis, MIT Dept of Electrical Engineering, available on the MIT System Dynamics Group Literature Collection and in the MIT Electronic Libraries. See IM-587 for Addition of Glucagon

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

 

 Work in progress based on PA Sorokin's Reconstruction of Humanity, moving from egoistic to altruistic personalities, social institutions and an idealistic cultural supersystem

Work in progress based on PA Sorokin's Reconstruction of Humanity, moving from egoistic to altruistic personalities, social institutions and an idealistic cultural supersystem

 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

Visuals of computational methods for dynamic modelling  See Systems Science for Health  insight launchpad  including links to Nate Osgood and KurtK workshop material
Visuals of computational methods for dynamic modelling  See Systems Science for Health insight launchpad including links to Nate Osgood and KurtK workshop material
 Here we have a basic SEIR model and we will investigate what changes would be appropriate for modelling the 2019 Coronavirus.  The initial parametrization is based on the suggested current data. The initial population is set for Catalonia.

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

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

 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.

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
 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. 
 Modified from Sterman (2006) and Gene Bellinger's Assumptions  IM-351  by Dr Rosemarie Sadsad UNSW See also  Complex Decision Technologies IM  and  IM-63975

Modified from Sterman (2006) and Gene Bellinger's Assumptions IM-351 by Dr Rosemarie Sadsad UNSW See also Complex Decision Technologies IM and IM-63975

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
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
 Hypertension Generic Patient Flow Causal Loop Diagram version of Insight 305

Hypertension Generic Patient Flow Causal Loop Diagram version of Insight 305

 A Medical Imaging View of Patient Flows through ED Imaging Workup. See  IM-375  for an extended map

A Medical Imaging View of Patient Flows through ED Imaging Workup. See IM-375 for an extended map