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.

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

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.

RMIT Assignment MATH2220

This is a model on how a virus may spread in a population. It is a model that can relatively easily built by students in upper secondary education

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

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 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.

From

Clone of Senior Design of Chronic Disease Management

Agent based Modeling Simulation for Pandemic COVID-19 Disease

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

Agent based Modeling Simulation for Pandemic COVID-19 Disease

The number of doping cases at the Olympic Games has soared in the last 10 years. We feel that a systems thinking approach is necessary because it is a complex social and political problem with many underlying factors feeding into the system making it hard to find concrete one-off solutions. A systems approach will enable us to find leverage points by breaking down the core problem thus making it easier to address the issue.

SIR model with herd immunity - Metrics by Guy Laekman

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

A basic SIR model.

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.

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.

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

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.

Simulate drug amount and drug concentration in blood plasma based on intake amount, intake frequency, drug absorption, drug half life, and body weight