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To avoid blood sugar spikes, eat first fiber, then proteins and fats, and lastly, carbohydrates: pasta and sweets in general.

This video shows how to use this model. It shows the blood glucose results when you adjust the time at which you eat each of these types of food.

The video was made by capturing the screen of this computer simulation model, based on System Dynamics, and is intended exclusively to conceptually show in an interactive and dynamic way what happens to blood glucose when the order in which foods are eaten is changed, as described in detail in the book "Glucose Revolution: The Life-Changing Power of Balancing Your Blood Sugar" by Jessie Inchauspé.

In the bottom left corner, click on START STORY to visualize and simulate the model, in three scenarios where the order of carbohydrate intake is changed.

Click here to see how to use this model.

WARNING: This is just a first version model. Perhaps others will come in the future. For this model to be used in real situations, it still requires a lot of improvement and calibration based on concrete data. 

Your comments and criticisms will be most welcome.

Prof. Paulo Villela
paulo.villela@engenharia.ufjf.br
Blood Glucose Spike Conceptual Model - V1
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WIP Ideas from Science Special Issue May 2014
Clone of The Science of Inequality
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From Peter Lacey's Whole Systems Partnership UK NHS ithink model with uncertainty added
End of Life Model with Uncertainty
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From David Rees PhD dissertation "Developing a Theory of Implementation for Better Chronic Health Management" Health Services Research Centre, Victoria University of Wellington, New Zealand
Clone of Implementing Chronic Care Management
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Clone of SD - Simple CLD
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Clone of IM-93836 with Health Expenditure australia 2016-7 Table A3 added with change

Health Care Funding Flows Detail 3
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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

Real World and Model World
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Adapted from Lane, David C. and Husemann, E. (2008) Steering without Circe: attending to reinforcing loops in social systems. System dynamics review, 24 (1). pp. 37-61. ISSN 0883-706 paper abstract  See also Conceptual hybrid mapping IM


Structure Agency
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Dynamic system underlying project life cycles From Roberts Edward B The Dynamics of Research and Development p5 Harper & Row NY 1964

The dynamics of Research and Development
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Stock Flow  Rich picture version of Tanner's Clinical Judgment Model after simulation

Simplified Rich picture version of Tanner's Clinical Judgment Model, with the addition of clinical reasoning cycle concepts from T Levett-Jones et al Nurse Education Today 30 (2010) 515-520. Simplified arrow version of #828

Clone of Thinking like a nurse rich pic after simulation
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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.

Type 1 Diabetes
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Adapted from Fig 12.1 p.476 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

Economic Theory Map
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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
Clone of Depression Dynamics
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Simplification of Prevention Investment Framework (private) IM See WIP integrating with economic view insight (private) and multiscale version IM private
HYPER Model Overview
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Jones AP, Homer JB, Murphy DL, Essien JDK, Milstein B, Seville DA.

Understanding diabetes population dynamics through simulation modeling

and experimentation. American Journal of Public Health 2006;96(3):488-494.

http://ajph.aphapublications.org/cgi/content/abstract/96/3/488

Diabetes Progression Published Model
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Linked concept version of Tanner's Clinical Judgment Model used as a scaffolding to start modeling managing the deteriorating patient.

Nurse thinking and the deteriorating patient
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Personal versus Situational Dynamics: Implications of Barry Richmond’s Models of Classic Experiments in Social Psychology James K. Doyle, Khalid Saeed, Jeanine Skorinko Department of Social Science and Policy Studies Worcester Polytechnic Institute 2008. For background on the infamous 1971 study that pitted students v students in the roles of prisoners & guards see http://www.prisonexp.org 

Stanford Prison Experiment
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A restatement of the ISDC Nijmegen 2006 paper Exploring the Political and Economic Dimensions of Health Policy This may benefit from simplification and using cultural theory. See IM-57161 for extension
Political Economy of Health Services
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Model of Buffer Margin from Robert Wears thesis WIP

ED Work Resilience
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From David Rees PhD dissertation "Developing a Theory of Implementation for Better Chronic Health Management" Health Services Research Centre, Victoria University of Wellington, New Zealand
Clone of Implementing Chronic Care Management
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This is a high level system dynamics model which is built to determine the dynamic relationships of the FSA and Followups capacity. Therefore, it can help clinicians to find out the optimistic method in order to reduce the waiting list. At past clinicians were seeing more FSA patients, however, after few months, the followups patients overwhelmed the clinics. Therefore waiting list has been built up again. By running this model, clinicians can find out the balanced leverage point(s).

Authors: Ashish Taneja, Keming Wang and Daniel Wong
Clone of Outpatient Clinics Patient Flow
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WIP to explain risk factors and burden of disease
RIsk factors and Burden of Disease
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WIP for IT enabled regional health services. See also IM-14104 The Ecology of Medical Care

Regional Health Services