#### SIR Infectious Disease Model

##### Geoff McDonnell ★

This is a simple SIR infectious diseases 3 stock model with Susceptibles, Infectives and Recovereds stocks. In the initial description the R signified Removed and could include Deaths, Recovered with immunity to infection (Resistant) or those who had fled the epidemic. Note the need to initiate the epidemic by adding a pulse of a single infected person at time 0. Compare with Bass Diffusion Model IM-610

- 3 years 11 months ago

#### SEIR Infectious Disease Model for COVID-19

##### Rolf Häsänen

Here we have a basic SEIR model and we will investigate what changes would be appropriate for modelling the 2019 Coronavirus

- 1 month 5 days ago

#### Kermack–McKendrick Epidemic SIR Infectious Disease Model - Metrics by Guy Lakeman

##### Guy Lakeman

Kermack–McKendrick Epidemic SIR Infectious Disease Model - Metrics by Guy Lakeman

This is a simple SIR infectious diseases 3 stock model with Susceptibles, Infectives and Recovereds stocks. In the initial description the R signified Removed and could include Deaths, Recovered with immunity to infection (Resistant) or those who had fled the epidemic. Note the need to initiate the epidemic by adding a pulse of a single infected person at time 0.

- 5 years 5 months ago

#### Ebola and Structural Violence

##### Geoff McDonnell ★

- 5 years 3 months ago

#### SEIR Infectious Disease Model

##### Geoff McDonnell ★

Here we have modified the SIR model of Insight 584 by adding an additional stock of Exposed people, who become Infective after an incubation period.

- 7 years 3 months ago

#### SARS-CoV-19 model

##### Lucia Vega Resto

**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 COVID-19 Corona Coronavirus Virus Disease Infection Pandemic

- 2 weeks 1 day ago

#### Upgrade of Kermack–McKendrick Epidemic SIR Infectious Disease Model - Metrics by Guy Lakeman

##### Guy Lakeman

Upgrade of Kermack–McKendrick Epidemic SIR Infectious Disease Model (circa 2015) - Metrics by Guy Lakeman

This is a simple SIR infectious diseases 3 stock model with Susceptibles, Infectives and Recovereds stocks. In the initial description the R signified Removed and could include Deaths, Recovered with immunity to infection (Resistant) or those who had fled the epidemic. Note the need to initiate the epidemic by adding a pulse of a single infected person at time 0.

Addition of a slider for susceptibles is equivalent to accumulated total cases

SARS, MERS AND COVID are similar virus types only differing in their sub genus

The COVID outbreak has reached 150,000 infected people

This simulation allows an attempt at predicting how long the virus will persist and its longevity dependence on its high speed massive infection numbers that have reached pandemic proportions

SARS reached 8,000 infected total and ran for 9 months before stopping

MERS 2012 is still killing 8 years later with patients dying even after using interferon to try and cure them

- 2 weeks 6 days ago

#### COVID-19 spread

##### Pau Fonseca

Here we have a basic SEIR model and we will investigate what changes would be appropriate for modelling the 2019 Coronavirus.

The initial parametrization is based on the suggested current data. The initial population is set for Catalonia.

- 1 week 4 days ago

#### Vaccine Attitudes and Cultural Theory

##### Geoff McDonnell ★

- 5 years 3 months ago

#### Epidemic SIR Infectious Disease Model for 3 regions

##### Irena

Paprastas 3 regionų užkrėstumo modelis. Irena Gustytė.

- 4 years 2 months ago

#### Scratchpad of Upgrade of Kermack–McKendrick Epidemic SIR Infectious Disease Model - Metrics by Guy Lakeman

##### Guy Lakeman

Upgrade of Kermack–McKendrick Epidemic SIR Infectious Disease Model (circa 2015) - Metrics by Guy Lakeman

This is a simple SIR infectious diseases 3 stock model with Susceptibles, Infectives and Recovereds stocks. In the initial description the R signified Removed and could include Deaths, Recovered with immunity to infection (Resistant) or those who had fled the epidemic. Note the need to initiate the epidemic by adding a pulse of a single infected person at time 0.

Addition of a slider for susceptibles is equivalent to accumulated total cases

SARS, MERS AND COVID are similar virus types only differing in their sub genus

The COVID outbreak has reached 150,000 infected people

This simulation allows an attempt at predicting how long the virus will persist and its longevity dependence on its high speed massive infection numbers that have reached pandemic proportions

SARS reached 8,000 infected total and ran for 9 months before stopping

MERS 2012 is still killing 8 years later with patients dying even after using interferon to try and cure them

updated 16/3/2020 from 5 years ago

Health Care Infection Ebola Epidemic SARS MERS COVID Pandemic

- 1 week 6 days ago

#### SIR Model

##### Geoff McDonnell ★

- 5 years 11 months ago

#### Hospital Infection Factors Levels

##### Geoff McDonnell ★

- 6 years 2 weeks ago

#### ITS_831-Tutorial-1-Disease-Dynamics

##### Sai Krishnanand Nagavelli

Disease Dynamics Health Infection Immunity Rate Of Recovery.

- 1 month 3 weeks ago

#### Bourke Infection Rate

##### Pavel Burmakin

**Assumptions**This model assumes that:upper value for Sensitive to get infected is 50 peopleupper value for Placed into Bourke hospital is 50 peopleupper value for Released from Bourke hospital is 50 people

**Variables**

**Infection Rate**- can be adjusted upwards or downwards to stimulate infection rate.

**Infection Factor**- can be adjusted upwards or downwards to stimulate infection rate.

**Recovery Rate**- can be adjusted upwards or downwards to stimulate infection rate.

- 10 months 6 days ago

#### Munz 2009 Zombie Infection

##### Todd Levine

- 7 years 5 months ago

#### Zombie Modeling + cannibalism

##### Alex

I'm adding a few things to the standard model:* zombies are carnivores* zombies, once the number of uninfected have significantly dropped, will start eating each other* zombies are in the throes of a fatal disease. In enough time, the disease (and secondary diseases) will kill them* if there's no one left to eat, the zombies will starve

- 6 years 1 month ago

#### Zombie Modeling

##### Coleen

- 6 years 4 months ago

#### Infection disease model

##### Carlos

- 2 weeks 1 day ago

#### Zombie Modeling with Eradication

##### Coleen

- 6 years 4 months ago

#### Infection

##### Elina

- 6 years 1 month ago

#### Migration and infection propagation

##### vincent cochet

How does the program work ?

In order to use this insight, we need to define a size of world population and a probability of every individual to reproduce himself. Every individual of this population can have three different state (healthy, infected or immunized) and infected people can be alive or dead. We need to define a percentage of infection for healthy people and a percentage of death for infected people and also a percentage of immunization.

Finally, there is Migration Part of the program, in this one, we need to define three different continents, states or whatever you want. We also need to define a migration probability between each continent to move these person. With this moving people, we can study the influence of migration on the propagation of a disease.

Vincent Cochet, Julien Platel, Jordan Béguet

- 1 year 10 months ago

#### infection model

##### Joe

- 6 years 1 month ago

#### Simulation VIH

##### HeleneL

- 4 years 2 months ago