A simple Susceptible - Infected - Recovered disease model.
Disease
A simple Susceptible - Infected - Recovered disease model.
SIR Model
Scott Fortmann-Roe
196
Insight diagram
Disease Agent-Based Model SIR
SIR Model
Luis Gustavo Nardin
7
A simple Susceptible - Infected - Aids Patient disease model.
Hiv Disease AIDS
A simple Susceptible - Infected - Aids Patient disease model.
HIV model - Vinicius Carius and Cesar Conopoima
Vinicius Carius de Souza
2 months ago
A simple Susceptible - Infected - Aids Patient disease model.
Disease AIDS Hiv
A simple Susceptible - Infected - Aids Patient disease model.
HIV model with Agents - Vinicius Carius and Cesar Conopoima
Vinicius Carius de Souza
36 2 months ago
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
SARS-CoV-19 model
Lucia Vega Resto
63
A model of an infectious disease and control
Finance Environment Pandemic Disease Health Care
A model of an infectious disease and control

Disease Dynamics (Agent Based Modeling) Guy Lakeman
Guy Lakeman
23
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
Infected COVID-19 Corona Rate Virus Disease Death
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.
Clone of Week-12-Practice
Helmi Mahditia Adam
8
A simple Susceptible - Infected - Aids Patient disease model.
AIDS Hiv Disease
A simple Susceptible - Infected - Aids Patient disease model.
ВИЧ в китае на миллион человек
Шмэль
16
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

Spatially Aware SIR Disease Model
Gene Bellinger
52
Insight diagram
Systems Modelling Influence Diagram Disease Transmission
Zombie Pathogen Transmission Influence Diagram
Manik
A Susceptible-Infected-Recovered (SIR) disease model with waning immunity
Health Health Care Disease

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

SIR model with waning immunity
Gonzalo Vazquez
21 8 months ago
system dynamics
Disease
system dynamics
SIR com morte
Gilmar Ferreira da Silva Filho
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
Steven D'Alessandro
A simple Susceptible - Infected - Aids Patient disease model.
AIDS Hiv Disease
A simple Susceptible - Infected - Aids Patient disease model.
Clone of HIV model with Agents - Vinicius Carius and Cesar Conopoima
Lalalala
17
A simple Susceptible - Infected - Aids Patient disease model.
AIDS Hiv Disease
A simple Susceptible - Infected - Aids Patient disease model.
ЖИТС Ауруы Жансая
Жансая Жалгасбаева
8 months ago
A simple Susceptible - Infected - Aids Patient disease model.
Disease AIDS Hiv
A simple Susceptible - Infected - Aids Patient disease model.
Clone of HIV model with Agents - Vinicius Carius and Cesar Conopoima
Miomi Kitsune
A simple Susceptible - Infected - Recovered disease as a stock and flow model. @ LinkedIn ,  Twitter ,  YouTube
Roam Systems KeLE ABM Disease
A simple Susceptible - Infected - Recovered disease as a stock and flow model.
SIR Disease Model
Gene Bellinger
7
Disease Dynamics Tutorial
Disease Health Infected
Disease Dynamics Tutorial
Disease Dynamics Tutorial
Patrick Thir
SIR model with herd immunity - Metrics by Guy Laekman A Susceptible-Infected-Recovered (SIR) disease model with herd immunity
Health Care Disease Health

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
Guy Lakeman
5
SIR Model - Metrics by Guy Lakeman A simple Susceptible - Infected - Recovered disease model.
Disease
SIR Model - Metrics by Guy Lakeman

A simple Susceptible - Infected - Recovered disease model.
SIR Model - Metrics by Guy Lakeman
Guy Lakeman
5
A Susceptible-Infected-Recovered (SIR) disease model with waning immunity
Health Disease Health Care

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

SIR model with waning immunity
Rosemarie Sadsad
28
A simple Susceptible - Infected - Aids Patient disease model.
AIDS Hiv Disease
A simple Susceptible - Infected - Aids Patient disease model.
Самостотельная работа Короновирус в Казакстане
ERA
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.
Reservoir Disease Spread
Scott Fortmann-Roe
11
A simple Susceptible - Infected - Aids Patient disease model.
Disease AIDS Hiv
A simple Susceptible - Infected - Aids Patient disease model.
Clone of HIV model with Agents - Vinicius Carius and Cesar Conopoima
Ая Умер