Data provided by:
PHE and
Worldometers
Clone of UK COVID 19 Simulator
A model of an infectious disease and control
Clone of Disease Dynamics (Agent Based Modeling) Guy Lakeman
A Susceptible-Infected-Recovered (SIR) disease model with waning immunity
Clone of SIR model with waning immunity
A simple Susceptible - Infected - Recovered disease model.
Clone of SIR Model
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
Data provided by:
PHE and
Worldometers
Clone of UK COVID 19 Simulator
A simple Susceptible - Infected - Recovered disease model.
Clone of SIR Model
A Susceptible-Infected-Recovered (SIR) disease model with waning immunity
Clone of SIR model with waning immunity
A simple Susceptible - Infected - Recovered disease model.
Clone of SIR Model
This is reproduction of the tutorial exercise 1, Disease Dynamics.
Clone of Tut1-diseaseDynamics
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
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
A simple Susceptible - Infected - Recovered disease model.
Clone of SIR Model
A simple Susceptible - Infected - Recovered disease model.
Clone of Clone of SIR Model
A Susceptible-Infected-Recovered (SIR) disease model with waning immunity
Clone of SIR model with waning immunity
A simple Susceptible - Infected - Recovered disease model.
Clone of SIR Model
A simple Susceptible - Infected - Recovered disease model.
Clone of SIR Model
A simple Susceptible - Infected - Recovered disease model.
Clone of SIR Model
A simple Susceptible - Infected - Recovered disease model.
Clone of SIR Model
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
A simple Susceptible - Infected - Recovered disease model.
Clone of SIR Model
