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.
Base Model Health Child Stunting Indonesia
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.
Clone of Child Stunting Indonesia
Lee Voth-Gaeddert
A Susceptible-Infected-Recovered (SIR) disease model with herd immunity and isolation policies.
Health Disease Health Care

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

Clone of SIR model with herd immunity and isolation
Cray
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 system
Doping Sport Health Image
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.
Doping in sport
LEFEBVRE
Insight diagram
Business Money App Health
EEIS Health App
Mona
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
Health Food Biomedical Biogeochemistry Health Care Disease
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
Insight diagram
Energy Environment Health
Energy Insight Model
Yuan Feng
Insight diagram
App Health Money Business
EEIS Health App
Mona
Insight diagram
Migration Health Infection
Migration and infection propagation
Jordan BEGUET
6
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 W
Strategy Science Weather Economics Politics Climate Fertility Health Services Population Failure Death Pollution Regeneration Population Growth Resources Land Demographics Fish Jobs Plants Sea Animals Ocean Rural Engineering Technology Industrial Yield Environment Labor Lifetime Urban Mortality

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.

Clone of 2014 Weather & Climate Extreme Loss of Arable Land and Ocean Fertility - The World3+ Model: Forecaster
Christopher Bystroff
First model developed for Senior Design dealing with Healthcare Analytics
Health Systems Engineering
First model developed for Senior Design dealing with Healthcare Analytics
Senior Design of Chronic Disease Management
Chris Anderson
Insight diagram
Infected Health
Healthy project
tonyguilloteau
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
Food Biogeochemistry Health Biomedical Disease Health Care
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
omeprazole
sitimalatania
modelo ejemplo tutorial con agregado de variación estocastica en tasa de contagio
Eidemia Health Salud
modelo ejemplo tutorial con agregado de variación estocastica en tasa de contagio
Clone of infección
Nilo Guimaraes
A Susceptible-Infected-Recovered (SIR) disease model with waning immunity
Health Care Disease Health

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

Clone of SIR model with waning immunity
Todd Levine
How to "infect" a surf spot
Health Care Health Disease

How to "infect" a surf spot

Surf Epidemologie
Jens Viebig
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 W
Regeneration Jobs Labor Urban Land Resources Services Health Industrial Fertility Demographics Politics Economics Rural Strategy Lifetime Environment Climate Weather Engineering Technology Population Science Mortality Death Failure Pollution Yield Ocean Sea Fish Plants Animals Population Growth

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.

Clone of 2014 Weather & Climate Extreme Loss of Arable Land and Ocean Fertility - The World3+ Model: Forecaster
Nils Hermes
3
Description: Model of Covid-19 outbreak in Burnie, Tasmania This model was designed from the SIR model(susceptible, infected, recovered) to determine the effect of the covid-19 outbreak on economic outcomes via government policy. Assumptions: The government policy is triggered when t
Tasmania Health COVID-19 Burnie Economy BMA 708

Description:

Model of Covid-19 outbreak in Burnie, Tasmania

This model was designed from the SIR model(susceptible, infected, recovered) to determine the effect of the covid-19 outbreak on economic outcomes via government policy.

Assumptions:

The government policy is triggered when the number of infected is more than ten.

The government policies will take a negative effect on Covid-19 outbreaks and the financial system.

Parameters:

We set some fixed and adjusted variables.

Covid-19 outbreak's parameter

Fixed parameter: Background disease.

Adjusted parameters: Infection rate, recovery rate. Immunity loss rate can be changed from vaccination rate.

Government policy's parameters

Adjusted parameters: Testing rate(from 0.15 to 0.95), vaccination rate(from 0.3 to 1), travel ban(from 0 to 0.9), social distancing(from 0.1 to 0.8), Quarantine(from 0.1 to 0.9)

Economic's parameters

Fixed parameter: Tourism

Adjusted parameter: Economic growth rate(from 0.3 to 0.5)

Interesting insight

An increased vaccination rate and testing rate will decrease the number of infected cases and have a little more negative effect on the economic system. However, the financial system still needs a long time to recover in both cases.

BMA708_Assignment 3_Nguyen Dang Khoa Vo_520272_COVID-19 outbreak and Burnie economy
NGUYEN DANG KHOA VO
This model should be used purely for personal interest.  I’m a designer and have no training in epidemiological studies. So, take this as an interesting experiment and nothing else.  I made it for a university subject looking into modelling and thought this was a very interesting topic area.
Hiv Health
This model should be used purely for personal interest.  I’m a designer and have no training in epidemiological studies. So, take this as an interesting experiment and nothing else. 

I made it for a university subject looking into modelling and thought this was a very interesting topic area.

Using figures from: 
Zhang, L., Peng, P., Wu, Y., Ma, X., Soe, N. N., Huang, X., Wu, H., Markowitz, M., & Meyers, K. (2018). Modelling the epidemiological impact and cost-effectiveness of prep for HIV transmission in MSM in China. *AIDS and Behavior*, *23*(2), 523-533. https://doi.org/10.1007/s10461-018-2205-3

Schneider, K., Gray, R. T., & Wilson, D. P. (2014). A cost-effectiveness analysis of HIV Preexposure prophylaxis for men who have sex with men in Australia. *Clinical Infectious Diseases*, *58*(7), 1027-1034. https://doi.org/10.1093/cid/cit946

AFAO. (2021). *HIV IN AUSTRALIA*. Australian Federation of AIDS Organisations. https://www.afao.org.au/wp-content/uploads/2020/12/HIV-in-Australia-2021.pdf

Department of Health. (2018). *National HIV Strategy* (8). Commonwealth of Australia. https://www1.health.gov.au/internet/main/publishing.nsf/Content/ohp-bbvs-1/$File/HIV-Eight-Nat-Strategy-2018-22.pdf

Monitoring HIV pre-exposure prophylaxis (Prep) uptake in Australia: Issue 1*. (2021, June 29). Kirby Institute. https://kirby.unsw.edu.au/report/monitoring-hiv-prep-uptake-australia-issue1

Monitoring HIV pre-exposure prophylaxis (Prep) uptake in Australia: Issue 4*. (2021, June 29). Kirby Institute. https://kirby.unsw.edu.au/report/monitoring-hiv-prep-uptake-australia-issue4
PrEP affordability and its effects on infections
Jason Moisiadis
Simulation of MTBF with controls F(t) = 1 - e ^ -λt  Where   • F(t) is the probability of failure   • λ is the failure rate in 1/time unit (1/h, for example)  • t is the observed service life (h, for example) The inverse curve is the trust time On the right the increase in failures brings its
Environment Finance Economics Physics Biology Health Fractals Strategy Chaos Failure TURBULENCE Engineering Risk MTBF Navier Stokes BIFURCATIONS Growth Population Demographics Science Mathematics
Simulation of MTBF with controls

F(t) = 1 - e ^ -λt 
Where  
• F(t) is the probability of failure  
• λ is the failure rate in 1/time unit (1/h, for example) 
• t is the observed service life (h, for example)

The inverse curve is the trust time
On the right the increase in failures brings its inverse which is loss of trust and move into suspicion and lack of confidence.
This can be seen in strategic social applications with those who put economy before providing the priorities of the basic living infrastructures for all.

This applies to policies and strategic decisions as well as physical equipment.
A) Equipment wears out through friction and preventive maintenance can increase the useful lifetime, 
B) Policies/working practices/guidelines have to be updated to reflect changes in the external environment and eventually be replaced when for instance a population rises too large (constitutional changes are required to keep pace with evolution, e.g. the concepts of the ancient Greeks, 3000 years ago, who based their thoughts on a small population cannot be applied in 2013 except where populations can be contained into productive working communities with balanced profit and loss centers to ensure sustainability)

Early Life
If we follow the slope from the leftmost start to where it begins to flatten out this can be considered the first period. The first period is characterized by a decreasing failure rate. It is what occurs during the “early life” of a population of units. The weaker units fail leaving a population that is more rigorous.

Useful Life
The next period is the flat bottom portion of the graph. It is called the “useful life” period. Failures occur more in a random sequence during this time. It is difficult to predict which failure mode will occur, but the rate of failures is predictable. Notice the constant slope.  

Wearout
The third period begins at the point where the slope begins to increase and extends to the rightmost end of the graph. This is what happens when units become old and begin to fail at an increasing rate. It is called the “wearout” period. 
Clone of Clone of Clone of Clone of BATHTUB MEAN TIME BETWEEN FAILURE (MTBF) RISK
Alena Peskova
Systems thinking study is challenging and has various a positive or negative impact on brain cell production.
Health
Systems thinking study is challenging and has various a positive or negative impact on brain cell production.
Impact of systems thinking study on brain cell production
Richard
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 Health Disease
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.
Clone of Human Body Systems Efficiency
Naviyn Prabhu Balakrishnan
Insight diagram
Life Health Environment
life and disease
Andy Windy
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 Human Body Systems Disease
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.
Clone of Human Body Systems Efficiency
k sha
THE 2017 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 REL
Services Environment Demographics Population Growth Population Weather Climate Failure Death Mortality Science Technology Engineering Strategy Economics Politics Fertility Health Resources Land Jobs Labor Urban Industrial Rural Lifetime Pollution Regeneration Yield Ocean Sea Fish Plants Animals Flood Drought Loss Hurricane Typhoon Tornado Cyclone Agriculture Food Energy Nuclear Solar Resource Graphene Silicene Transport

THE 2017 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.

Clone of 2017 Weather & Climate Extreme Loss of Arable Land and Ocean Fertility by Guy Lakeman - The World3+ Model: Forecaster
Rhys Almario