A simple Susceptible - Infected - Recovered disease model.
A simple Susceptible - Infected - Recovered disease model.
 A spatially aware, agent based model of disease spread. There are three classes of people: susceptible (healthy), infected (sick and infectious), and recovered (healthy and temporarily immune).

A spatially aware, agent based model of disease spread. There are three classes of people: susceptible (healthy), infected (sick and infectious), and recovered (healthy and temporarily immune).

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.
Data from two rounds of using Disease Participatory Simulation in class. Participants + Androids = 39.  By adjusting Rate Constant, stocks and flows representation can be used to match data from either Trial 1 or Trial 2. An example of matching Trial 1 is shown when this simulation is run.  Graph of
Data from two rounds of using Disease Participatory Simulation in class. Participants + Androids = 39.  By adjusting Rate Constant, stocks and flows representation can be used to match data from either Trial 1 or Trial 2. An example of matching Trial 1 is shown when this simulation is run.  Graph of "Area" (Well * Sick) has the same shape as Rate Catching graph. The Rate Catching graph is much smaller because the Well * Sick values are multiplied by a small constant that is the Rate Constant.
This is reproduction of the tutorial exercise 1, Disease Dynamics.
This is reproduction of the tutorial exercise 1, Disease Dynamics.
A simple Susceptible - Infected - Aids Patient disease model.
A simple Susceptible - Infected - Aids Patient disease model.
 SIR model with herd immunity - Metrics by Guy Laekman   A Susceptible-Infected-Recovered (SIR) disease model with herd immunity

SIR model with herd immunity - Metrics by Guy Laekman

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

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.
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
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
A simple Susceptible - Infected - Recovered disease model.
A simple Susceptible - Infected - Recovered disease model.
Diabetes Mellitus Type II diakibatkan oleh tingginya kadar glukosa darah melebihi kadar normal. Hal ini dipengaruhi oleh konsumsi makanan tinggi gula berlebihan, kurangnya aktivitas fisik, serta yang sangat menentukan adalah hormon insulin yang diproduksi oleh pankreas dan berperan dalam pembakaran
Diabetes Mellitus Type II diakibatkan oleh tingginya kadar glukosa darah melebihi kadar normal. Hal ini dipengaruhi oleh konsumsi makanan tinggi gula berlebihan, kurangnya aktivitas fisik, serta yang sangat menentukan adalah hormon insulin yang diproduksi oleh pankreas dan berperan dalam pembakaran glukosa untuk menjadi energi.
Um modelo simples de modelo de difusão de doenças.
Um modelo simples de modelo de difusão de doenças.
This stock-flow simulation model is to show Covid-19 virus spread rate, sources of spreading and safety measures followed by all the countries affected around the world. The simulation also aims at predicting for how much more period of time the virus will persist, how many people could recover at w
This stock-flow simulation model is to show Covid-19 virus spread rate, sources of spreading and safety measures followed by all the countries affected around the world.
The simulation also aims at predicting for how much more period of time the virus will persist, how many people could recover at what kind of rate and also about the virus toughness dependence based on its excessive speed, giving rise to bigger numbers day-by-day.
A simple Susceptible - Infected - Recovered disease model.
A simple Susceptible - Infected - Recovered disease model.
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.
 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.

当处在春节时期,疫情来临时,外来人口较多的S市的疫情传染仿真模型。 人群的状态可分为S/E/I/R/D的五个状态,S为易感染者(即S市所在人群),E为潜伏期患者(人群不会对他远离,但是会传染他人),I为感染者(为医院确诊人群,他人会远离该患者),R为康复人群,D为死亡人群。
当处在春节时期,疫情来临时,外来人口较多的S市的疫情传染仿真模型。
人群的状态可分为S/E/I/R/D的五个状态,S为易感染者(即S市所在人群),E为潜伏期患者(人群不会对他远离,但是会传染他人),I为感染者(为医院确诊人群,他人会远离该患者),R为康复人群,D为死亡人群。