Individual Hospital Monthly Performance
Ebola and Structural Violence
Ladder of Inference and Cyclical Scientific Process
Hospital flows monthly pattern
Hospital Flow Context 2
Food-born pathogen outbreaks
Medication Management CLD
Intellectual Disability Services Concept Map
Suicide plural rationalities
COVID-19 spread with containment measures
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.
Process Control Structure
Hospital Emergency and Elective Admission Interaction Simulation 3
Clinical Process with Patient States
Emergency Room and Wards Patient Flow Simulation
Managing Health Service Use
SIR model with waning immunity - Metrics by Guy Lakeman
Michaelis Menten Enzyme Metabolic Map
From fighting lions (fight or flight) to fighting feedbacks in complex systems. A single person cutting the Gordian knot to the dynamic complexity of rubik's cube. Think of multiple players with multiple misperceptions of the faces on the cube and conflicting goals about what the desired solution is. Worse still, without an accepted framework we dont even know if it's a cube or another structure. See also policy resistance IM-697