Health | Insight Maker

THE 2018 MODEL (BY GUY LAKEMAN) EMPHASIZES THE PEAK IN POLLUTION BEING CREATED BY OVERPOPULATION.
WITH THE CARRYING CAPACITY OF ARABLE LAND NOW BEING 1.5 TIMES OVER A SUSTAINABLE FUTURE (PASSED IN 1990) AND NOW INCREASING IN LOSS OF HUMAN SUSTAINABILITY DUE TO SEA RISE AND EXTREME GLOBAL WATER RELOCATION IN WEATHER CHANGES IN FLOODS AND DROUGHTS AND EXTENDED TROPICAL AND HORSE LATTITUDE CYCLONE ACTIVITY AROUND HADLEY CELLS

The World3 model is a detailed simulation of human population growth from 1900 into the future. It includes many environmental and demographic factors.

THIS MODEL BY GUY LAKEMAN, FROM METRICS OBTAINED USING A MORE COMPREHENSIVE VENSIM SOFTWARE MODEL, SHOWS CURRENT CONDITIONS CREATED BY THE LATEST WEATHER EXTREMES AND LOSS OF ARABLE LAND BY THE ALBEDO EFECT MELTING THE POLAR CAPS TOGETHER WITH NORTHERN JETSTREAM SHIFT NORTHWARDS, AND A NECESSITY TO ACT BEFORE THERE IS HUGE SUFFERING.

BY SETTING THE NEW ECOLOGICAL POLICIES TO 2015 WE CAN SEE THAT SOME POPULATIONS CAN BE SAVED BUT CITIES WILL SUFFER MOST.

CURRENT MARKET SATURATION PLATEAU OF SOLID PRODUCTS AND BEHAVIORAL SINK FACTORS ARE ALSO ADDED

Use the sliders to experiment with the initial amount of non-renewable resources to see how these affect the simulation. Does increasing the amount of non-renewable resources (which could occur through the development of better exploration technologies) improve our future? Also, experiment with the start date of a low birth-rate, environmentally focused policy.

2018 OVERPOPULATION LEADS TO POLLUTION based on Weather & Climate Extreme Loss of Arable Land and Ocean Fertility by Guy Lakeman - The World3+ Model: Forecaster

Guy Lakeman

17

From

Clone of Senior Design of Chronic Disease Management

epidemiology

robot5x

This insight describes the interrelationship between carbohydrates, fats and proteins.

Each food source is used, stored and processed in different ways.

The balance of our food intake, our genetic characteristics that determine our ability to digest these sources and our activity levels, have a significant impact upon our weight and performance.

Body Energy

James

3

THE BROKEN LINK BETWEEN SUPPLY AND DEMAND CREATES TURBULENT CHAOTIC DESTRUCTION

The existing global capitalistic growth paradigm is totally flawed

Growth in supply and productivity is a summation of variables as is demand ... when the link between them is broken by catastrophic failure in a component the creation of unpredictable chaotic turbulence puts the controls ito a situation that will never return the system to its initial conditions as it is STIC system (Lorenz)

The chaotic turbulence is the result of the concept of infinite bigness this has been the destructive influence on all empires and now shown up by Feigenbaum numbers and Dunbar numbers for neural netwoirks

See Guy Lakeman Bubble Theory for more details on keeping systems within finite working containers (villages communities)

Clone of THE BROKEN LINK BETWEEN SUPPLY AND DEMAND CREATES CHAOTIC TURBULENCE (+controls)

Sugiharto

Spread of SARS

Bagas Yudhistira Fauzi

Dosage per day, Doses per day, Every ? hours, Medicine in Intestines, Drug absorption, Plasma level, Blood volume, Plasma concentration, Toxic level, Medicinal level, Drug excretion, Excretion rate, Half-Life

Clone of Pharmacokinetics

Marsellius

RMIT Assignment MATH2220

Clone of Disease Dynamics - Michelle-Anne Chen

Bechara Assouad

EEIS Health App

Mona

Virus project

Julien Platel

Clone of IM-91683 from jacqui and vincy Summary of paper map produced by participants at the compelling case for prevention workshop 6 june 2017. Current premier version for vincy to update

Clone of Concept Map produced by CCP Workshop 1

Geoff McDonnell

5

Simple model of Paramecium with constrained growth.

Daffa Muhammad Romero

20/456363/TK/50493

Paramecium - Daffa Romero

Daffa Muhammad Romero

RMIT Assignment MATH2220

Clone of Disease Dynamics - Michelle-Anne Chen

scarlettchoueiri

Clone of Obesity in America

María Fernanda Montúfar Ruiz

RMIT Assignment MATH2220

Disease Dynamics - Michelle-Anne Chen

Michelle-Anne Chen

5

RMIT Assignment MATH2220

Clone of Disease Dynamics - Michelle-Anne Chen

scarlettchoueiri

A model of the monthly change in prevalence of smokers and ex-smokers in the population

Smoking pipe

Robert West

SIR model with waning immunity - Metrics by Guy Lakeman

A Susceptible-Infected-Recovered (SIR) disease model with waning immunity

SIR model with waning immunity - Metrics by Guy Lakeman

Guy Lakeman

3

This systems model will help students understand the different systems that make up our body and how choices we make can impact how those systems work.
Factors are based on daily choices.

Human Body Systems Efficiency

Jeanette Simenson

7

A model that describes the reinforcing loop between exercise and sleep.

Insight: To be able to do more exercise (if one is already tired), one has different options:
to increase their energy level which can be done with some products (such as caffeine), to improve their quality of sleep either via medication or changing the environment in which they sleep, or to start doing exercise even if they are tired in order to sleep better and then have more energy.

R1 Doing More Exercise

Anne-Marie Parent

Multiple Cause Diagrams (MCDs) can be used to find solutions to systemic problems. This diagram tries to explore treatment options that could theoretically be available to a person who has been diagnosed with a particular type of blepharitis (inflammation of eye lids). This type of blepharitis often leads to 'pink eye' and 'dry eye syndrome'. It is caused by rosacea of the eye lids, a systemic disease which can only be controlled but not cured. The MCD also assumes that the patient's tear glands do not produce enough tears, which further complicates his eye condition. The broken green lines indicate treatment options.Their aim is to weaken or disrupt links that keep the malignant process going.

Hypothetically a person afflicted by this condition could construct a MCD similar to the one shown, based on authoritative information from his ophthalmologist and bonafide medical websites. It could serve to improve his /her understand of their condition and the treatment available. As such, I believe this diagram demonstrates the usefulness of MCDs.

Multiple Cause Diagram (MCD) to explore treatment options of chronic blepharitis

Hanns-Jürgen Hodann

This model is for ENGR 102 - Studio

Disease Dynamics - Henry Aleman

Henry J Aleman

Hepatitis A merupakan penyakit infeksi virus pada hati melalui makanan atau minuman

Hepatitis A Model dan Simulasi

DEVI LUTHFITANINGRUM LUTHFITANINGRUM

This insight shows the relation between a healthy set of people and an infected set using the primitive infection rate variable as the "rate" that defines how many people get into the infected set at which rate. The second part of the insight shows how many people get recovered and move into Immune set by the rate defined through Recovery Rate variable.

ITS_831-Tutorial-1-Disease-Dynamics

Sai Krishnanand Nagavelli

This insight is about infection propagation and population migration influence on this propagation. For this, we defined a world population size and a percentage of it who’s infected. Then, we created an agent where we simulated possible states of an individual. So, he can be healthy, infected (with an infection rate) or immunized ( with a certain rate of immunization). If the individual is infected, he can be alive or dead. Then, we simulated different continents (North-America, Asia and Europe) with a migration between these with a certain rate of migration (we tried to approach reality). Then, thanks to our move action which represents a circular permutation between the different continents with a random probability, the agent will be applied to every individual of the world population.

How does the program work ?

In order to use this insight, we need to define a size of world population and a probability of every individual to reproduce himself. Every individual of this population can have three different state (healthy, infected or immunized) and infected people can be alive or dead. We need to define a percentage of infection to healthy people and a percentage of death for infected people and also a percentage of immunization.
Finally there is Migration Part of the program, in this one, we need to define three different continents, states or whatever you want. We also need to define a migration probability between each continent to move these person. With this moving people, we can study the influence of migration on the propagation of a disease.

Vincent Cochet, Julien Platel, Jordan Béguet

Migration and infection propagation

Jordan BEGUET

Health Models