Insight diagram
a model of a normal virus.There will be changes later on.
A normal infection model
Insight diagram
Sistem SIRS
Insight diagram
A simple Susceptible - Infected - Aids Patient disease model.
hiv aa
Insight diagram
A simple Susceptible - Infected - Recovered disease model.
Clone of SIR Model
Insight diagram
A simple Susceptible - Infected - Recovered disease model.
Clone of SIR Model
Insight diagram
part 1 a4
Clone of Yellow Fever - Human part
Insight diagram
A simple Susceptible - Infected - Recovered disease model.
Clone of SIR Model
Insight diagram
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
Insight diagram
Data provided by: PHE and Worldometers

Clone of UK COVID 19 Simulator
Insight diagram
A simple Susceptible - Infected - Recovered disease model.
Clone of SIR Model
Insight diagram
A simple Susceptible - Infected - Recovered disease model.
Clone of SIR Model
Insight diagram
A simple Susceptible - Infected - Recovered disease model.
Clone of SIR Model
Insight diagram
A Susceptible - Infected - Recovered disease as a stock and flow model for COVID.
Clone of COVID SIR Disease Model
Insight diagram
Clone of SIR Model
Insight diagram

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 CS558 Agent-Based Spatially Aware Disease Model
Insight diagram

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).

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Clone of Spatially Aware SIR Disease Model
Insight diagram
Disease Dynamics- Colin Couron
Insight diagram
A simple Susceptible - Infected - Recovered disease model.
Clone of SIR Model
Insight diagram
A simple Susceptible - Infected - Recovered disease model.
Clone of SIR Model
Insight diagram

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 CS558 Agent-Based Spatially Aware Disease Model
Insight diagram
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 Clone of Week-12-Practice
9 months ago
Insight diagram
Dosage per day, Doses per day, Every ? hours, Medicine in Intestines, Drug absorption, Plasma level, Blood volume, Plasma concentration, ​Toxic level, Medicinal level, Drug excretion, Excretion rate, Half-Life
Tugas pemsim 2
Insight diagram
A simple Susceptible - Infected - Aids Patient disease model.
Clone of ВИЧ в китае на миллион человек
Insight diagram

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

Clone of SIR model with waning immunity