Social determinants of health are economic and social conditions that influence the health of people and communities. These conditions are shaped by the amount of money, power, and resources that people have, all of which are influenced by policy choices. Social determinants of health affect factors
Social determinants of health are economic and social conditions that influence the health of people and communities. These conditions are shaped by the amount of money, power, and resources that people have, all of which are influenced by policy choices. Social determinants of health affect factors that are related to health outcomes. Factors related to health outcomes include:
  • How a person develops during the first few years of life (early childhood development)
  • How much education a persons obtains
  • Being able to get and keep a job
  • What kind of work a person does
  • Having food or being able to get food (food security)
  • Having access to health services and the quality of those services
  • Housing status
  • How much money a person earns
  • Discrimination and social support
 A Susceptible-Infected-Recovered (SIR) disease model with herd immunity and isolation policies.

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

How do drugs affect us on individual and popular levels? Let's take a look at drug addiction as a system and pick it apart based on its biological, financial, mental, and communal effects.
How do drugs affect us on individual and popular levels? Let's take a look at drug addiction as a system and pick it apart based on its biological, financial, mental, and communal effects.
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
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.
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 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.
Health specific Clone of Scott Page's Aggregation  diagram  from Complexity and Sociology  2015 article  see also  IM-9115  and SA  IM-1163
Health specific Clone of Scott Page's Aggregation diagram from Complexity and Sociology 2015 article see also IM-9115 and SA IM-1163
This connection loop demonstrates the negative effects of the consumption of energy drinks containing caffeine and/or taurine.
This connection loop demonstrates the negative effects of the consumption of energy drinks containing caffeine and/or taurine.
 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

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


Example of Configurable Conveyor Pattern (vectorized conveyor with multiple 'conveyor speeds')    See Taking The Pill   https://getsatisfaction.com/insightmaker/topics/delay-in-taking-the-pill for the problem statement
Example of Configurable Conveyor Pattern (vectorized conveyor with multiple 'conveyor speeds')

See Taking The Pill 
https://getsatisfaction.com/insightmaker/topics/delay-in-taking-the-pill for the problem statement
   THE 2020 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 R

THE 2020 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.

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 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.
Scott Page's Aggregation diagram from Complexity and Sociology  2015 article  see also  IM-9115  and SA  IM-1163
Scott Page's Aggregation diagram from Complexity and Sociology 2015 article see also IM-9115 and SA IM-1163
Causal loop diagram illustrating how anxiety may lead to poor performance (R1) and how this reinforcing loop may be counter-balanced by utilizing tools and techniques to manage anxiety (B2).
Causal loop diagram illustrating how anxiety may lead to poor performance (R1) and how this reinforcing loop may be counter-balanced by utilizing tools and techniques to manage anxiety (B2).
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
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. 

 From 
Clone of Senior Design of Chronic Disease Management

From

Clone of Senior Design of Chronic Disease Management
 A Susceptible-Infected-Recovered (SIR) disease model with herd immunity

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

 This is a simple implementation of the SIR epidemiological model. See  Wikipedia  for a description.        The number of new infections is proportional to the total number of infected people, the fraction of the population that remains susceptible, and the ratio of the total number of infections p
This is a simple implementation of the SIR epidemiological model. See Wikipedia for a description. 

The number of new infections is proportional to the total number of infected people, the fraction of the population that remains susceptible, and the ratio of the total number of infections per case and the typical time to recover from an infection.
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
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