Adapted from Denis R. Towill, (1996) "Industrial dynamics modelling of supply chains", Logistics Information Management, Vol. 9 Iss: 4, pp.43 - 56 Diagram http://www.emeraldinsight.com/content_images/fig/0050260202006.png

Protein conformance change based on Ed Gallaher and Jim Rogers 2021 Forrester Award Lecture ISDC

WIP ideas for group model building representation See later Australian Version Hybrid  Insight

IPCC Extreme weather events combined context diagrams  FBE WIP

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

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

WIP concept map to computational model of IMV theory of suicide O'Connor and Nock 2014 Article

Simplified version of IM-852  Erythropoiesis Stimulating Agents (ESA) Dosing in Anemia due to Renal Failure from Jim Rogers See Stock Flow Map  Insight 810 

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

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.

Overview of Evaluation Approaches from Pawson and Tilley's Book comparing Realist, Constructivist, Experimental and Pragmatic Evaluation Approaches. Combined with Van de Ven's Alternative Philosophies of Science in his Engaged Scholarship book. See also Burrell and Morgan's research paradigms video

Rich Picture CLD from Yaman Barlas and Hakan Yasarcan (2008) A Comprehensive Model of Goal Dynamics in Organizations:Setting, Evaluation and Revision in Complex Decision Making Theory and Practice H. Qudrat-Ullah J.M. Spector P.I. Davidsen (Eds.) Springer 2008 available online paper

WIP based on Geoffrey Brennan's Selection and the Currency of Reward chapter expanded from IM-396 

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

Based on Chris Argyris 2010 Book Organizational Traps Oxford University Press, built around Insight 619 on single and double loop learning

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 Cultural Worldview and Preference for Childhood Vaccination Policy PSJ Article  Nov 2014 

Business case for investment in national eHealth Infrastructure Programs

Major stocks and flows of Erythropoiesis and Erythropoiesis Stimulating Agents (ESA) Dosing in Anemia due to Renal Failure from Jim Rogers. See Simulation Insight

This map is a WIP derived from the MIT D-memo 4641 presentation by Nelson Repenning 1996 and the paper "Nobody Ever Gets Credit for Fixing Problems that Never Happened: Creating and Sustaining Process Improvement" by Nelson P. Repenning and John D Sterman. http://bit.ly/jCXGKL See Insight 9781 for a simulation of this model. This map adds additional features mentioned in the article to the bare bones simulation in IM-9781

Created in James Madison University's ISAT 341 Simulation and Modeling course by Joseph Straub and Andrew Funkhouser. Based on Mark Heffernan's Glucose-Insulin Insight Maker

Glucose Insulin Model Info:

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 Clone 4of IM 27348, of JPS IM-27150 of original JPS IM-14117 See reference in diagram notes. WIP for Environment part of primary care regional model

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