Based on oid 2016 report to be compared with the Just Justice Framework WIP insight

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

RMIT Assignment MATH2220

Projekt OSA

Health specific Clone of Scott Page's Aggregation diagram from Complexity and Sociology 2015 article see also IM-9115 and SA IM-1163

First model developed for Senior Design dealing with Healthcare Analytics

vraag3) Ze gaan er al vanuit dat je gelanceerd bent

Example of Configurable Conveyor Pattern (vectorized conveyor with multiple 'conveyor speeds')

RMIT Assignment MATH2220

Agent based Modeling Simulation for Pandemic COVID-19 Disease

A Susceptible-Infected-Recovered (SIR) disease model with herd immunity and isolation policies.

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.

This is the base stock and flow diagram I will use to develop a larger system of influencing factors, from health, agri-food systems, and environmental models. Data was taken from UNICEF and UNFPA. Time = 0 starts at 1987.

This diagram shows the impact of government policy and funding on a student's access to post-secondary education and the institution's health and wellness services.

Simple goal seeking loop for type 1 diabetes, describing relationship between blood glucose level, insulin injections, and food consumption, seeking to achieve healthy balanced blood glucose levels in the body.

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

Diagrams of theories of control of destiny at multiple scales as fundamental causes of social determinants of health from Whitehead 2016 article in Health and Place

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.

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 for 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

OVERSHOOT GROWTH GOES INTO TURBULENT CHAOTIC DESTRUCTION

The existing global capitalistic growth paradigm is totally flawed

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 limited size working capacity containers (villages communities)

This is the base stock and flow diagram I will use to develop a larger system of influencing factors, from health, agri-food systems, and environmental models. Data was taken from UNICEF and UNFPA. Time = 0 starts at 1987.