SIR Model
Scott Fortmann-Roe
- 5 years 7 months ago
SARS-CoV-19 model
Lucia Vega Resto
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
- 11 months 2 weeks ago
SIR model with waning immunity
Rosemarie Sadsad
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SIR model with herd immunity and isolation
Rosemarie Sadsad
A Susceptible-Infected-Recovered (SIR) disease model with herd immunity and isolation policies.
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Human Body Systems Efficiency
Jeanette Simenson
This systems model will help students understand the different systems that make up our body and how choices we make can impact how those systems work.<br>Factors are based on daily choices.
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SIR Disease Model
Gene Bellinger
- 2 years 8 months ago
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Scott Fortmann-Roe
Make sure to check out the Map display to see the geographic clustering of disease incidence around the reservoir.
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Spatially Aware SIR Diseasse Model
Gene Bellinger
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).
- 2 years 8 months ago
SIR model with herd immunity
Rosemarie Sadsad
A Susceptible-Infected-Recovered (SIR) disease model with herd immunity
- 7 years 4 months ago
Disease Dynamics (Agent Based Modeling) Guy Lakeman
Guy Lakeman
- 6 years 4 months ago
SIR model with waning immunity - Metrics by Guy Lakeman
Guy Lakeman
SIR model with waning immunity - Metrics by Guy Lakeman
A Susceptible-Infected-Recovered (SIR) disease model with waning immunity
- 6 years 4 months ago
SIR model
Rosemarie Sadsad
A Susceptible-Infected-Recovered (SIR) disease model
- 7 years 4 months ago
SIR model with waning immunity
Gonzalo Vazquez
A Susceptible-Infected-Recovered (SIR) disease model with waning immunity
- 2 years 3 months ago
SIR Model
Luis Gustavo Nardin
- 2 years 4 weeks ago
SIR model with herd immunity - Metrics by Guy Laekman
Guy Lakeman
SIR model with herd immunity - Metrics by Guy Laekman
A Susceptible-Infected-Recovered (SIR) disease model with herd immunity
- 11 months 3 weeks ago
UK COVID 19 Simulator
Richard Bartholomew
- 11 months 2 weeks ago
Disease - Participatory Simulation Data
wmstroup
Disease Participatory Simulation Logistic Curve Epidemic Curve
- 6 years 10 months ago
SIR Model - Metrics by Guy Lakeman
Guy Lakeman
A simple Susceptible - Infected - Recovered disease model.
- 6 years 4 months ago
SIR Model
Geoff McDonnell ★
- 6 years 10 months ago
SARS-CoV-19 Modell von Lucia Vega Resto
Hans Kratz
- bitte passen Sie die Variablen über die Schieberegler weiter unten entsprechend an
Italien
ältere Bevölkerung (>65): 0,228
Faktor der geschätzten unentdeckten Fälle: 0,6
Ausgangsgröße der Bevölkerung: 60 000 000
hoher Blutdruck: 0,32 (gbe-bund)
Herzkrankheit: 0,04 (statista)
Anzahl der Intensivbetten: 3 100
Deutschland
ältere Bevölkerung (>65): 0,195 (bpb)
geschätzte unentdeckte Fälle Faktor: 0,2 (deutschlandfunk)
Ausgangsgröße der Bevölkerung: 83 000 000
hoher Blutdruck: 0,26 (gbe-bund)
Herzkrankheit: 0,2-0,28 (Herzstiftung)
Anzahl der Intensivbetten: 5 880
Frankreich
ältere Bevölkerung (>65): 0,183 (statista)
Faktor der geschätzten unentdeckten Fälle: 0,4
Ausgangsgröße der Bevölkerung: 67 000 000
Bluthochdruck: 0,3 (fondation-recherche-cardio-vasculaire)
Herzkrankheit: 0,1-0,2 (oecd)
Anzahl der Intensivbetten: 3 000
Je nach Bedarf:
Anzahl der Begegnungen/Tag: 1 = Quarantäne, 2-3 = soziale Distanzierung , 4-6 = erschwertes soziales Leben, 7-9 = überhaupt keine Einschränkungen // Vorgabe 2
Praktizierte Präventivmassnahmen (d.h. sich regelmässig die Hände waschen, das Gesicht nicht berühren usw.): 0.1 (niemand tut etwas) - 1 (sehr gründlich) // Vorgabe 0.8
Aufklärung durch die Regierung: 0,1 (sehr schlecht) - 1 (sehr transparent und aufklärend) // Vorgabe 0,9
Immunitätsrate (aufgrund fehlender Daten): 0 (man kann nicht immun werden) - 1 (wenn man es einmal hatte, wird man es nie wieder bekommen) // Vorgabe 0,4
Schlüssel
Anfällige: Menschen sind nicht mit SARS-CoV-19 infiziert, könnten aber infiziert werden
Infizierte: Menschen sind infiziert worden und haben die Krankheit COVID-19
Geheilte: Die Menschen haben sich gerade von COVID-19 erholt und können es in diesem Stadium nicht mehr bekommen
Tote: Menschen starben wegen COVID-19
Immunisierte: Menschen wurden immun und können die Krankheit nicht mehr bekommen
Kritischer Prozentsatz der Wiederherstellung: Überlebenschance ohne spezielle medizinische Behandlung
SARS-CoV-19 COVID-19 Corona Coronavirus Virus Disease Infection Pandemic
- 6 months 5 days ago
HIV model - Vinicius Carius and Cesar Conopoima
Vinicius Carius de Souza
- 4 years 8 months ago
SIRKimpossibles
Kimpossibles
A Susceptible-Infected-Recovered (SIR) disease model for Rage
- 5 years 10 months ago
Agent Based Disease
Scott Fortmann-Roe
- 7 years 2 months ago
Dual Pathogen Model
Scott Fortmann-Roe
The dual pathogen model from "Competition-colonization dynamics in an RNA virus" Ojosnegros et al 2010
- 8 years 4 months ago