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.
Factors are based on daily choices.
Clone of Human Body Systems Efficiency
Um modelo simples de modelo de difusão de doenças.
Difusão de Doença
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
Pharmacokinetics
Ohhigladyoudecidedtolookatthisrightnowinsteadoflikeaweekagoorsomething.
Iamfeelingextremelypassiveaggressiverightnow.
Emilyisstressedlol
Nateisstealingmycomputer
LoveyouMitchell<3
HateyousomuchFIXTHISMODEL
So NOW you decide to look at this.
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.
Factors are based on daily choices.
Clone of Human Body Systems Efficiency
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)
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)
France
- elderly population (>65): 0.183 (statista)
- estimated undetected cases factor: 3-5
- starting population size: 65 000 000
- high blood pressure: 0.3 (fondation-recherche-cardio-vasculaire)
- heart disease: 0.1-0.2 (oecd)
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
- practicing preventive measures (ie. washing hands regularly, not touching your face etc.): 0.1 (nobody does anything) - 1 (very strictly)
- government elucidation: 0.1 (very bad) - 1 (highly transparent and educating)
- Immunity rate (due to lacking data): 0 (you can't get immune) - 1 (once you had it you'll never get it again)
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
Clone of SARS-CoV-19 model
Simple Basic Model as suggested in the manual (in German)
Clone of Modellierung einer einfachen Infektionskrankheit
A Susceptible-Infected-Recovered (SIR) disease model with waning immunity
SIR model with waning immunity
Clone of SARS-CoV-19 model
Clone of Agent Based Disease
Diagram adapted from Chaix2009 review article with multiscale effects of geography and neighbourhoods on individuals developing coronary heart disease
Geographic living environments and coronary heart disease
This is reproduction of the tutorial exercise 1, Disease Dynamics.
Tut1-diseaseDynamics
A simple Susceptible - Infected - Recovered disease model.
SIR Model
A simple Susceptible - Infected - Recovered disease model.
Clone of SIR Model
Clone of Agent Based Disease
Hepatitis A merupakan penyakit infeksi virus pada hati melalui makanan atau minuman
Hepatitis A Model dan Simulasi
Simple Basic Model as suggested in the manual (in German)
Modellierung einfache Infektionskrankheit
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
Clone of Clone of Agent Based Disease
A simple Susceptible - Infected - Recovered disease model.
Clone of SIR Model
Semestrální projekt na operační a systémovou analýzu
Operacni a systemova analyza
