Simple Bass diffusion modified from Sterman Business Dynamics Ch9, with additional discarding

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.

Politics Adaptive Management and Transition Management

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 model of the ladder of inference which shows how we short circuit reality based on the assumptions and beliefs we develop IM-351. Combined with the cyclical scientific process described by Gary An.

An exploration of interactions among 'fuzzy' qualitative concepts that interact to produce either tolerance or violent conflict. ​Z509 p43-49 System Zoo 3 by Hartmut Bossel.

Rich Picture Version of Insight 386 The Dynamics of Human Service Delivery General Theory from the Book by Levin, Roberts, Hirsch et al. Ballinger 1976 ISBN 0-88410-132-0

WHO FBE WIP Hospitals Safe from Disasters

Hypertension Generic Patient Flow Causal Loop Diagram version of Insight 305

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.

Dynamics of Emergency Room Crowding with treatment spaces. Here we investigate the effect of constrained spaces and ignore any changes in treatment time or staffing effects. Many of the consequences occur before treatment with potential arrivals being turned away and arrivals leaving without being treated.  

The first task is to define what is an optometrist and to outline a career path.

The first issue is how to select and keep optometry students. The main theme is balance out student expectations with reality (see first task) especially when many students use optometry as a proxy for later entry into a medical course.

The second problem is that the current entry demographic does not meet the needs in terms of culture and expected practice location Unfolding version of IM-569 by keith Masnick