Disease | Insight Maker

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

12 months ago

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

Clone of SIR model with waning immunity

Sofia Rubio

a model of a normal virus.There will be changes later on.

A normal infection model

Somebody

6 months ago

A model of an infectious disease and control

Clone of Disease Dynamics (Agent Based Modeling) Guy Lakeman

NangManCat

8 months ago

A simple Susceptible - Infected - Recovered disease model.

Clone of SIR Model

Stefan

A simple Susceptible - Infected - Recovered disease model.

Clone of SIR Model

Yago Presot

dosmakhanova

Dosmakhanova

4 months ago

Covid-19

Марина Якимова

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

Alikhan Mairambayev

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

Simon Grosche

6 months ago

A simple Susceptible - Infected - Recovered disease model.

Clone of SIR Model

Douglas Moura

A simple Susceptible - Infected - Recovered disease model.

Clone of SIR Model

Changjie Chen

12 months ago

Data provided by: PHE and Worldometers

Clone of UK COVID 19 Simulator

Ramanand Jeeneea

3

A simple Susceptible - Infected - Recovered disease model.

Clone of SIR Model

Prof Barbara Quintela

A simple Susceptible - Infected - Aids Patient disease model.

hiv aa

Мерилка Доғдырбай

4 months ago

Sistem SIRS

HABIBI BAHRAEN -

3 2 months ago

A simple Susceptible - Infected - Recovered disease model.

Clone of Clone of SIR Model

박태준

9 months ago

A simple Susceptible - Infected - Aids Patient disease model.

Clone of Clone of HIV model with Agents - Vinicius Carius and Cesar Conopoima

XEniya

5 months ago

A controlling parasite model.

There will be future chnages :]

THE FOG IS COMING.

Hypnosis model/ Controlling parasite model

Somebody

6 months ago

Model sloužící k analýze dynamiky šíření epidemie v populaci a k testování různých scénářů řízení, jako je zvýšení vakcinace nebo zavedení karanténních opatření.

SIR Model