This is a systems model that allows groups of professionals to discuss 'prevention at scale' opportunities and the implications of numbers 'needed to treat' in any local population. In terms of public health interventions this equates to reach, compliance and efficacy, which are usually lower than one might suspect.

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

Modelo simplificado para ilustrar una epidemia o pandemia, como la del Coronavirus.

Linked concept version of Tanner's Clinical Judgment Model

Downstream and upstream responses, from Jack Homer , Gary HIrsch and Bobby Milstein. Chronic Illness in a Complex Health Economy  Syst. Dyn. Rev. 23, 313-343 (2007). Conference paper available at  http://bit.ly/JCO68V

Summary of Buchanan 2008 AJPH article

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.

From Peter Lacey's Whole Systems Partnership UK NHS ithink model with uncertainty added

WIP example of Services oriented multiscale computable narrative synthesis focussed on Coping carefully with diabetes

UBI diagram from Insight 1 linked to salutogenesis, life course trajectory and more detail on Child Development WIP 

This diagram shows key components of home-based and residential assisted living services, provided by municipalities.

Jack Homer's model via ithink and Mark Heffernan.  From Jack's  paper Worker burnout: a dynamic model with implications  for prevention and control System Dynamics Review 1985 1(1)42-62. See IM-641 for the Causal loop diagram

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

Summary of Lancet March 2023 Series See also Structure Agency Insight

From Evans RG and Stoddardt GL  1990 paper Soc Sci Med 31(12)1347-63 , also published in a book by Evans, Barer and Marmor, Why are some people healthy and others not?: The determinants of population health. To IM-425 We add impacts of spending and a "Thermostat" setting for population health controlling health spending.

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

Causal loop diagram patient centric version of Insight 691, unfolding the complexity of medication management.

A Susceptible-Infected-Recovered (SIR) disease model

WIP Reviewing past work on a dynamic computational version of clinical reasoning and judgment

Flows between acute hospital and aged care for older people.

Clone of IM-806 modified to integrate AnyLogic Real world, Model World with Van de Ven Engaged Scholarship and Land Use Modelling approaches. See also Complex Decision Technologies IM

From Werner Ulrich's JORS Articles Operational research and critical systems thinking – an integrated perspective. Part 1: OR as applied systems thinking. Journal of the Operational Research Society advance online publication (14 December 2011). and Part 2 :OR as argumentative practice.

See also insight on Boundary Critique

"Seeing is believing" and "Believing is seeing". How the reduction of doubt can lead to holding on to initially helpful beliefs that later turn out to be false but are difficult to change. Or as I believe Bertrand Russell might once have put it, "The trouble with the world is that fools are so sure of themselves and the wise are so uncertain."

A model of the ladder of inference which shows how we short circuit reality based on the beliefs we develop. A picture version of the parameter version of Insight 351 for an academic audience. Here Consequences, intent and learning loops have been added

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.