Health | Insight Maker

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

Jose Andres Moran Vasquez

This model has been constructed from the model published in the following article:

Jack B. Homer, "Worker burnout: a dynamic model with implications for prevention and control".

System Dynamics Review 1 (no. 1, Summer 1985): 42-62. ISSN 0883-7066. 0 1985 by the Svstem Dynamics Society.

Clone of Burnout

RichardS

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 BATHTUB MEAN TIME BETWEEN FAILURE (MTBF) RISK

Te Kou Gage

3

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

Clone of Clone of SIR model with herd immunity and isolation

Olga Kolchyna

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

COVID-19 Delta Variant Spread Among Emory Students

Natalia

.According to World Health Organization, the SARS-CoV-2 virus is the infectious disease known as coronavirus disease (COVID-19).

The majority of virus-infected individuals will experience a mild to severe respiratory disease and will recover without the need for special care. However, some people will get serious illnesses and need to see a doctor. Serious sickness is more likely to strike older persons and those with underlying medical illnesses including cancer, diabetes, cardiovascular disease, or chronic respiratory diseases. COVID-19 can cause anyone to become very ill or pass away at any age.

Being knowledgeable about the illness and the virus's propagation is the best strategy to stop or slow down transmission. By keeping a distance of at least one meter between people, donning a mask that fits properly, and often washing your hands or using an alcohol-based rub, you can prevent infection in both yourself and other people. When it's your turn, get your vaccination, and abide by any local advice.

When an infected person coughs, sneezes, speaks, sings, or breathes, the virus can spread from their mouth or nose in minute liquid particles. From larger respiratory droplets to tiny aerosols, these particles are diverse. It's crucial to use proper respiratory technique, such as coughing into a flexed elbow, and to confine yourself to your home and rest until you feel better.

Corononavirus SARs2 (Agent Based)

John Carl Esteban

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

Paul Hajjar

This model has been constructed from the model published in the following article:

Jack B. Homer, "Worker burnout: a dynamic model with implications for prevention and control".

System Dynamics Review 1 (no. 1, Summer 1985): 42-62. ISSN 0883-7066. 0 1985 by the Svstem Dynamics Society.

Clone of Burnout

Grace

Clone of Worker Burnout Model

Pulasthi Gunasekara

This model has been constructed from the model published in the following article:

Jack B. Homer, "Worker burnout: a dynamic model with implications for prevention and control".

System Dynamics Review 1 (no. 1, Summer 1985): 42-62. ISSN 0883-7066. 0 1985 by the Svstem Dynamics Society.

Clone of Burnout

RichardS

This model has been constructed from the model published in the following article:

Jack B. Homer, "Worker burnout: a dynamic model with implications for prevention and control".

System Dynamics Review 1 (no. 1, Summer 1985): 42-62. ISSN 0883-7066. 0 1985 by the Svstem Dynamics Society.

Clone of Clone of Burnout

Hoa Nguyen

FORCED GROWTH GROWTH GOES INTO TURBULENT CHAOTIC DESTRUCTION
BEWARE pushing increased growth blows the system!
(governments are trying to push growth on already unstable systems !)

The existing global capitalistic growth paradigm is totally flawed

The chaotic turbulence is the result of the concept and flawed strategy 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)

Clone of FORCED GROWTH INTO TURBULENCE

Sayantan Das

FORCED GROWTH GROWTH GOES INTO TURBULENT CHAOTIC DESTRUCTION
BEWARE pushing increased growth blows the system!
(governments are trying to push growth on already unstable systems !)

The existing global capitalistic growth paradigm is totally flawed

The chaotic turbulence is the result of the concept and flawed strategy 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)

Clone of FORCED GROWTH INTO TURBULENCE

Te Kou Gage

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)

Victor Vreede

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 Clone of Clone of 2014 Weather & Climate Extreme Loss of Arable Land and Ocean Fertility - The World3+ Model: Forecaster

Urasa Kongdechakul

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 BATHTUB MEAN TIME BETWEEN FAILURE (MTBF) RISK

Brayan Triminio

This model has been constructed from the model published in the following article:

Jack B. Homer, "Worker burnout: a dynamic model with implications for prevention and control".

System Dynamics Review 1 (no. 1, Summer 1985): 42-62. ISSN 0883-7066. 0 1985 by the Svstem Dynamics Society.

Clone of Burnout

asish menon

This model has been constructed from the model published in the following article:

Jack B. Homer, "Worker burnout: a dynamic model with implications for prevention and control".

System Dynamics Review 1 (no. 1, Summer 1985): 42-62. ISSN 0883-7066. 0 1985 by the Svstem Dynamics Society.

Clone of Burnout

asish menon

This model has been constructed from the model published in the following article:

Jack B. Homer, "Worker burnout: a dynamic model with implications for prevention and control".

System Dynamics Review 1 (no. 1, Summer 1985): 42-62. ISSN 0883-7066. 0 1985 by the Svstem Dynamics Society.

Clone of Clone of Clone of Burnout

RichardS

This model has been constructed from the model published in the following article:

Jack B. Homer, "Worker burnout: a dynamic model with implications for prevention and control".

System Dynamics Review 1 (no. 1, Summer 1985): 42-62. ISSN 0883-7066. 0 1985 by the Svstem Dynamics Society.

Clone of Burnout

RichardS

This model has been constructed from the model published in the following article:

Jack B. Homer, "Worker burnout: a dynamic model with implications for prevention and control".

System Dynamics Review 1 (no. 1, Summer 1985): 42-62. ISSN 0883-7066. 0 1985 by the Svstem Dynamics Society.

Clone of Burnout

Hoa Nguyen

This model has been constructed from the model published in the following article:

Jack B. Homer, "Worker burnout: a dynamic model with implications for prevention and control".

System Dynamics Review 1 (no. 1, Summer 1985): 42-62. ISSN 0883-7066. 0 1985 by the Svstem Dynamics Society.

Clone of Burnout

Cukkoo Joseph

This model has been constructed from the model published in the following article:

Jack B. Homer, "Worker burnout: a dynamic model with implications for prevention and control".

System Dynamics Review 1 (no. 1, Summer 1985): 42-62. ISSN 0883-7066. 0 1985 by the Svstem Dynamics Society.

Clone of Burnout

Hoa Nguyen

infection

Matselis Evangelos

Health Models