Tutorial model of disease dynamics using ABM
Disease ABM
Tutorial model of disease dynamics using ABM
Clone of Agent-Based Disease Dynamics
Daniel Nemeth
A Susceptible-Infected-Recovered (SIR) disease model with waning immunity
Disease Health Health Care

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

Clone of SIR model with waning immunity
Kryn Dykema
A simple Susceptible - Infected - Recovered disease model.
KeLE ABM Disease
A simple Susceptible - Infected - Recovered disease model.
Clone of SIR Model
Yini Song
A simple Susceptible - Infected - Recovered disease model.
Disease
A simple Susceptible - Infected - Recovered disease model.
Clone of SIR Model
Edmar Candeia Gurjao
This graph shows the results for infection rate with respect to the safe percentage and infected people. The recovery rate is multiple with the infected people. 
Health Care Disease

This graph shows the results for infection rate with respect to the safe percentage and infected people.
The recovery rate is multiple with the infected people. 
Disease Corona Infection
Uday Kumar Nelluri
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).
ABM Disease

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).

Clone of Spatially Aware SIR Diseasse Model
Klemens Schatka
Insight diagram
SIR Economy Disease
Clone of SIR model
NangManCat
9 months ago
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).
ABM Disease

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).

Clone of CS558 Agent-Based Spatially Aware Disease Model
Bashier Dahman
A simple Susceptible - Infected - Recovered disease model.
Disease KeLE ABM
A simple Susceptible - Infected - Recovered disease model.
Clone of SIR Model
Yankang Huang
A simple Susceptible - Infected - Aids Patient disease model.
Disease AIDS Hiv
A simple Susceptible - Infected - Aids Patient disease model.
AIDS
PRADEEP
SARS-CoV-19 spread  in different countries - please  adjust variables accordingly Italy elderly population (>65): 0.228 estimated undetected cases factor: 4-11 starting population size: 60 000 000 high blood pressure: 0.32 (gbe-bund) heart disease: 0.04 (statista) free intensive
Disease Coronavirus Infection Corona Virus COVID-19 SARS-CoV-19 Pandemic
SARS-CoV-19 spread in different countries
- please adjust variables accordingly

Italy
  • elderly population (>65): 0.228
  • estimated undetected cases factor: 4-11
  • starting population size: 60 000 000
  • high blood pressure: 0.32 (gbe-bund)
  • heart disease: 0.04 (statista)
  • free intensive care units: 3 100

Germany
  • elderly population (>65): 0.195 (bpb)
  • estimated undetected cases factor: 2-3 (deutschlandfunk)
  • starting population size: 83 000 000
  • high blood pressure: 0.26 (gbe-bund)
  • heart disease: 0.2-0.28 (herzstiftung)
  • free intensive care units: 5 880

France
  • elderly population (>65): 0.183 (statista)
  • estimated undetected cases factor: 3-5
  • starting population size: 67 000 000
  • high blood pressure: 0.3 (fondation-recherche-cardio-vasculaire)
  • heart disease: 0.1-0.2 (oecd)
  • free intensive care units: 3 000

As you wish
  • numbers of encounters/day: 1 = quarantine, 2-3 = practicing social distancing, 4-6 = heavy social life, 7-9 = not caring at all // default 2
  • practicing preventive measures (ie. washing hands regularly, not touching your face etc.): 0.1 (nobody does anything) - 1 (very strictly) // default 0.8
  • government elucidation: 0.1 (very bad) - 1 (highly transparent and educating) // default 0.9
  • Immunity rate (due to lacking data): 0 (you can't get immune) - 1 (once you had it you'll never get it again) // default 0.4

Key
  • Healthy: People are not infected with SARS-CoV-19 but could still get it
  • Infected: People have been infected and developed the disease COVID-19
  • Recovered: People just have recovered from COVID-19 and can't get it again in this stage
  • Dead: People died because of COVID-19
  • Immune: People got immune and can't get the disease again
  • Critical recovery percentage: Chance of survival with no special medical treatment
Clone of SARS-CoV-19 model
Prof. Dr. Harald Schaub
El Salvador Tamaño población inicial: 6,400,000 Unidad de cuidados intensivos disponibles: 2000 Casos confirmados hasta 13/10/2020: 30,480 Casos fallecidos hasta 13/10/2020: 899 Fuente: https://covid19.gob.sv/
Disease Corona Coronavirus COVID-19 Infection Pandemic SARS-CoV-19 Virus

El Salvador
  • Tamaño población inicial: 6,400,000
  • Unidad de cuidados intensivos disponibles: 2000
  • Casos confirmados hasta 13/10/2020: 30,480
  • Casos fallecidos hasta 13/10/2020: 899
Fuente: https://covid19.gob.sv/


CORONAVIRUS EL SALVADOR
Moises Panama Pino
SARS-CoV-19 spread  in different countries - please  adjust variables accordingly Italy elderly population (>65): 0.228 estimated undetected cases factor: 4-11 starting population size: 60 000 000 high blood pressure: 0.32 (gbe-bund) heart disease: 0.04 (statista) free intensive
Virus Corona COVID-19 SARS-CoV-19 Pandemic Infection Coronavirus Disease
SARS-CoV-19 spread in different countries
- please adjust variables accordingly

Italy
  • elderly population (>65): 0.228
  • estimated undetected cases factor: 4-11
  • starting population size: 60 000 000
  • high blood pressure: 0.32 (gbe-bund)
  • heart disease: 0.04 (statista)
  • free intensive care units: 3 100

Germany
  • elderly population (>65): 0.195 (bpb)
  • estimated undetected cases factor: 2-3 (deutschlandfunk)
  • starting population size: 83 000 000
  • high blood pressure: 0.26 (gbe-bund)
  • heart disease: 0.2-0.28 (herzstiftung)
  • free intensive care units: 5 880

France
  • elderly population (>65): 0.183 (statista)
  • estimated undetected cases factor: 3-5
  • starting population size: 67 000 000
  • high blood pressure: 0.3 (fondation-recherche-cardio-vasculaire)
  • heart disease: 0.1-0.2 (oecd)
  • free intensive care units: 3 000

As you wish
  • numbers of encounters/day: 1 = quarantine, 2-3 = practicing social distancing, 4-6 = heavy social life, 7-9 = not caring at all // default 2
  • practicing preventive measures (ie. washing hands regularly, not touching your face etc.): 0.1 (nobody does anything) - 1 (very strictly) // default 0.8
  • government elucidation: 0.1 (very bad) - 1 (highly transparent and educating) // default 0.9
  • Immunity rate (due to lacking data): 0 (you can't get immune) - 1 (once you had it you'll never get it again) // default 0.4

Key
  • Healthy: People are not infected with SARS-CoV-19 but could still get it
  • Infected: People have been infected and developed the disease COVID-19
  • Recovered: People just have recovered from COVID-19 and can't get it again in this stage
  • Dead: People died because of COVID-19
  • Immune: People got immune and can't get the disease again
  • Critical recovery percentage: Chance of survival with no special medical treatment
Clone of SARS-CoV-19 model
David Clark
A simple Susceptible - Infected - Recovered disease model.
KeLE ABM Disease
A simple Susceptible - Infected - Recovered disease model.
Clone of SIR Model
Yuxi Wang
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
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). @ LinkedIn ,  Twitter ,  YouTube
ABM Disease SIR Roam

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).

@LinkedIn, Twitter, YouTube

Clone of Spatially Aware SIR Disease Model
Aigerim Seitbattal
A simple Susceptible - Infected - Recovered disease model.
KeLE ABM Disease
A simple Susceptible - Infected - Recovered disease model.
Clone of SIR Model
Miftahul Jannah
model created for eng 102
health care disease
model created for eng 102
Disease Dynamics -Jack Mason
Jack Ramsey Mason
This model simulates a waterborne illness spread from a central reservoir. It illustrates the combination of System Dynamics (modeling pathogen levels in the reservoir) and Agent Based Modeling. Make sure to check out the Map display to see the geographic clustering of disease incidence around th
Agent Based Modeling Disease
This model simulates a waterborne illness spread from a central reservoir. It illustrates the combination of System Dynamics (modeling pathogen levels in the reservoir) and Agent Based Modeling.

Make sure to check out the Map display to see the geographic clustering of disease incidence around the reservoir.
Clone of Reservoir Disease Spread
Oz Sahin
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
Disease Health Care Health Diabetes
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.
Model dan Simulasi Diabetes Mellitus Type II
DEVI LUTHFITANINGRUM LUTHFITANINGRUM
A Susceptible-Infected-Recovered (SIR) disease model with herd immunity
Disease Health Care Health

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

Clone of SIR model with herd immunity
Jens Viebig
A simple Susceptible - Infected - Recovered disease model.
Disease KeLE ABM
A simple Susceptible - Infected - Recovered disease model.
Clone of SIR Model
kmolenda
A simple Susceptible - Infected - Recovered disease model.
Disease KeLE ABM
A simple Susceptible - Infected - Recovered disease model.
Clone of SIR Model
Miftahul Jannah
A model of an infectious disease and control
Finance Environment Pandemic Disease Health Care
A model of an infectious disease and control

Clone of Disease Dynamics (Agent Based Modeling) Guy Lakeman
TDebord