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

Modified from Mark Paich et al. 's book: Pharmaceutical product strategy. Fig 4.7 p 69. It formed the basis of a hypertension intervention discussion Aug-Sept 2010

Fig 4.1 p 86 of Beyond Pleasure and Pain: How Motivation Works Book by E Tory Higgins OUP (2011).

Illustration of the relations among variables that contribute to the value experience. See also Effectiveness IM-2806

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 

A stock flow structure used to investigate interventions to improve the monthly patterns of patient flows through hospitals. Simplest structure to explain IM-10386 Expanded in IM-13966

Dynamics of Emergency Department Crowding Initial View from the waiting room. Follows from IM-369 Sim and IM-340 CLD. Proceed to IM-349 

Simple rich picture causal loop diagram of single and double loop learning (DLL). See Individual Learning IM-616  See also DLL simulation insight

A generic stock and flow map of Cancer Screening and Treatment. See also IM-1525 for a specific Prostate PSA Map and Reference  See IM-107014 for a more detailed prostate cancer specific map 

Kidney replacement therapy dynamics: stock and flow and CLD (Forrester) diagram of the kidney dialysis and transplant CLD im-317

A simple medical workforce model of doctor flows, population and service growth.

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.

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

This is a launchpad for patient flow insights for flows through the emergency department and hospital, including the broader community context. It also includes links to other insights relevant to ED flow improvement.

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