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Part of Urea Kinetic model for Clearance Experiments

Dialysis blood flow
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This simple high level model shows the basic feedback balancing loop for health services. There are many other loops and component interactions at multiple scales that add to the complexity See areas of expenditure IM for some component splits and hospital value IM for some service linkages
Health Care Supply Demand Dynamics
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Interacting nested fast and slow adaptive cycles from Panarchy Book  ,Resilience thinking Book Brian Walker and David Salt Island Press 2006 and the http://www.resalliance.org/ Website, See also What is Panarchy at http://bit.ly/H9RFkL

Socio-Ecological Systems
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Adapted from Fig 5.1 p.186 of the Book: James A. Forte ( 2007), Human Behavior and The Social Environment: Models, Metaphors and Maps for Applying Theoretical Perspectives to Practice  Thomson Brooks/Cole Belmont ISBN 0-495-00659-9

Applied Systems Theory Map
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Dieses konzeptionelle Model ohne Simulation gibt einen stark vereinfachten Überblick über wichtige Bestandteile der endokrinen Stressreaktion.

Das Modell orientiert sich an Informationen aus den Büchern:

Rensing, L., Koch, M., Rippe, B., Rippe, V. (2006). Mensch im Stress : Psyche, Körper, Moleküle. Heidelberg; München : Elsevier, Spektrum Akad. Verl.

UND

Schandry, R. (2011). Biologische Psychologie : mit Online-Materialien (3. Aufl.) Stress (S.318 – 329). Weinheim ; Basel : Beltz.

Vereinfachungen und Fehler sind auf den Ersteller des Modells zurückzuführen!

Die neuroendokrine Stressreaktion
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Based on Nate Osgood's April 2014 Singapore Presentation Youtube video and Lyle Wallis material Gojii at DecisioTech See also Complex Decison Technologies IM as a more polished version
Complex Intervention Modeling Areas
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Z212 from System Zoo 1 p142-148

House Heating Dynamics
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Adapted from Fig 7.1 p.269 of the Book: James A. Forte ( 2007), Human Behavior and The Social Environment: Models, Metaphors and Maps for Applying Theoretical Perspectives to Practice  Thomson Brooks/Cole Belmont ISBN 0-495-00659-9

Cognitive Science Map
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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.

Clone of COVID-19 spread
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WIP for Continuity of care ISO Old Version From Wikipedia Replaced by IM-4008

Clinical Process eHealth view
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This linkage map represents the links between crisis resolution faced by healthcare managers. Administrative officer's are responsible for specific communication channels to ensure and maintain control during emergency situations to ensure the safety of patients, medical staff and affected populations.
Stakeholders linkage map
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Concept map of patient flow through ED

ED Patient Flow Concept Map
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Modelling prevalence of cardiovascular disease within a population using agent based modelling. The initial population is defined within Tools->Variables and macros.

This is a partial model that is not yet complete.
Clone of Cardiovascular Model V1.0
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2 өзіндік жұмыс
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WIP Stock Flow representation of Panarchy Adaptive Cycles

Adaptive Cycles Stock Flow
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Concept map about how a thermostat works. Slightly adapted from http://cmap.ihmc.us/docs/linkingwords.html See how this changed after SD modelling at IM-736

Thermostat Concept Map
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Addition of glucagon hormone action to control glucose homeostasis extended from IM-586

Clone of Glucose regulation CLD 2
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Shows the flow of organs from donors to recipients to explore places to improve the transplant rate
Organ donation and transplant flows
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This model shows the dynamics of use of a new medical technology based on its scope of use and perceived relative benefit. The technology needs cumulative usage to fix its glitches, and the benefits will be diluted  as the scope of use widens.

Diffusion of Medical Technology
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WIP for a HEalth Care Learning Thread for SOHT a proof of concept before adding to SysNet
Patient Flow Learning Threads
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Dementia Care Pathway
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A SEIR Model of SARS Pandemic With Isolation and Quarantine, based on Introduction to Computational Science by Shiflet and Shiflet

Quarantine is when someone exposed to infected people, whether infected or not, and advised to stay at home.

Isolation is when someone exposed to infected people, get infected, detected, and send to hospital.

Assumption:
- No births
- Dead only caused by SARS
- Contact between susceptible and infected are constant. Contact does not affected by population density
- Quarantine factor for susceptible and exposed is same.
- Quarantine and isolation is fully efective. Someone who quarantined or isolated cannot transmit or exposed to SARS
- Someone who has already recovered from SARS gained fully effective immunity, thus cannot re-infected
SEIR Model of SARS
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Modelling prevention and treatments to mitigate mortality from cardiovascular disease.
Cardiovascular Disease
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A simple medical workforce model of doctor flows, population and service growth.

Medical Workforce Simple