Disease | Insight Maker

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

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

shruti

A simple Susceptible - Infected - Recovered disease model.

Clone of SIR Model

John Tzortzatos

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

Clone of SIR model with waning immunity

Sofia Rubio

A simple Susceptible - Infected - Recovered disease model.

Clone of SIR Model

Gerard Egerton

7 months ago

A model of an infectious disease and control

Clone of Disease Dynamics (Agent Based Modeling) Guy Lakeman

TDebord

7 months ago

A simple Susceptible - Infected - Recovered disease model.

Clone of SIR Model

Gray Gaming

A simple Susceptible - Infected - Aids Patient disease model.

AIDS

PRADEEP

11 months ago

Clone of SIR model

NangManCat

2 months ago

A simple Susceptible - Infected - Recovered disease model.

Clone of SIR Model

Stefan

Data provided by: PHE and Worldometers

Clone of UK COVID 19 Simulator

Ramanand Jeeneea

3

A model of an infectious disease and control

Clone of Disease Dynamics (Agent Based Modeling) Guy Lakeman

NangManCat

4 months ago

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

Changjie Chen

7 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 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

Zoes clone the pretty the smart and the science

Zoe

2 months ago

A simple Susceptible - Infected - Recovered disease model.

Clone of SIR Model

Yago Presot

8 months ago

A simple Susceptible - Infected - Recovered disease model.

Clone of SIR Model

Prof Barbara Quintela

8 months ago

A simple Susceptible - Infected - Recovered disease model.

Clone of SIR Model

Changjie Chen

7 months ago

A simple Susceptible - Infected - Recovered disease model.

Clone of SIR Model

Douglas Moura

8 months ago

A normal zombie outbreak simulator!

Future change will be added.

:]

A zombie virus model

Somebody

last month

A simple Susceptible - Infected - Recovered disease model.

Clone of Clone of SIR Model

박태준

4 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 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