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

DIabetes incidence from population inflow, with undiagnosed and diagnosed stocks

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

From Stephen Toulmin's Book The Uses of Argument Cambridge University Press 2003. See wikipedia  Also Francis Miller Claim Hexagon 2025 web article

SIR model with waning immunity - Metrics by Guy Lakeman

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

Dynamics of Emergency Room Crowding a simple uncalibrated simulation which includes Wards and some simple internal ED feedback effects

Kidney replacement therapy dynamics: causal loop diagram of the kidney dialysis and transplant model extended to Chronic Kidney Disease from MOTOHASHI and NISHI Int. J. Epidemiology1991; 20: 1032-1036

A work in progress conceptual model based on Using system dynamics principles for conceptual modelling of publicly funded hospitals by HJ Wong et al Journal of the Operational Research Society advance online publication, 27 April 2011 doi:10.1057/jors.2010.164. Linked concepts with annotated definitions.

Coping but not coping in health and social care: masking the reality of running organisations beyond safe design capacity. From Eric Wolstenholme Syst. Dyn. Rev. 23, 371–389, (2007) abstract See IM-1008 for a stock flow version. Click the Start Story feature at the bottom left.

A RIch Picture unfolding representation of ED overcrowding based on Using system dynamics principles for conceptual modelling of publicly funded hospitals by HJWong et al Journal of the Operational Research Society advance online publication, 27 April 2011 doi:10.1057/jors.2010.164. 

Upgrade of Kermack–McKendrick Epidemic SIR Infectious Disease Model (circa 2015) - 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.

Addition of a slider for susceptibles is equivalent to accumulated total cases

SARS, MERS AND COVID are similar virus types only differing in their sub genus

The COVID outbreak has reached 150,000 infected people

This simulation allows an attempt at predicting how long the virus will persist and its longevity dependence on its high speed massive infection numbers that have reached pandemic proportions

SARS reached 8,000 infected total and ran for 9 months before stopping

MERS 2012 is still killing 8 years later with patients dying even after using interferon to try and cure them

updated 16/3/2020 from 5 years ago

An adaptation of the URBAN1 Model from Navid Ghaffarzadegan, John Lyneis and George P Richardson's How small system dynamics models can help the public policy process. System Dynamics Review 27: 22-44 (2011) Conference version at http://bit.ly/HlxtZj  and LA Alfeld and AK Graham's Introduction to Urban Dynamics 1974 p 195.

An element of Perspectives: The Foundation of Understanding and Insights for Effective Action. Register at http://www.systemswiki.org/

ithink example from isee systems using receptors

Forcings and feedbacks based on Tom Fiddaman, James Hansen and other feedback and cycle diagrams