Kermack–McKendrick Epidemic SIR Infectious Disease Model - 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.

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

Diagrams from Greene 2017 nejm article Putting the patient back together Social Medicine, Network Medicine, and the Limits of Reductionism

To avoid blood sugar spikes, eat first fiber, then proteins and fats, and lastly, carbohydrates: pasta and sweets in general.

This video shows how to use this model. It shows the blood glucose results when you adjust the time at which you eat each of these types of food.

The video was made by capturing the screen of this computer simulation model, based on System Dynamics, and is intended exclusively to conceptually show in an interactive and dynamic way what happens to blood glucose when the order in which foods are eaten is changed, as described in detail in the book "Glucose Revolution: The Life-Changing Power of Balancing Your Blood Sugar" by Jessie Inchauspé.

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

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

Based on G.P. Cimellaro et al. Framework for analytical quantification of disaster resilience Engineering Structures 32 (2010) 3639–3649 paper

Simplified 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

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

Population Model

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

From Adapting ‘Agility’ to Healthcare Service Delivery, by Tom Rust, Khalid Saeed, Isa Bar-On, Oleg Pavlov Paper from July 2013 System dynamics Conference Cambridge MA and also 2012 Conference paper  Could be extended by adding dynamics described in going solid insight

Simplest Innovation diffusion model from Sterman Business Dynamics Ch9, with Correlation coefficients added, from Taylor TRB et al. (2010)  Improving model understanding using statistical screening System Dynamics Review 26 (1) p 73-87

From Am J Public Health April 2015 Article  Relates to Service Identification in the Health Service Network Improvement Matrix IM

Extension of IM-14144 with ward outliers as a prelude to a modular ward dynamics framework. Should include ideas in IM-1008 For backlog and services see IM-8382

Summary of Gizem Aktas M Sc thesis and prize winning paper from ISDC2018 extended abstract pdf 

WIP Stock Flow representation of Panarchy Adaptive Cycles

Working model of Erythropoiesis and Erythropoiesis Stimulating Agents (ESA) Dosing in Anemia due to Renal Failure from Jim Rogers See Stock Flow Map  Insight 810  and Simpler Dosing Model at IM-26182

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