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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 Clone of SARS-CoV-19 model
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Germany Covid-19
21 hours ago
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My Insight COVID
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Exemple de modélisation
https://youtu.be/Kas0tIxDvrg
Les chiffres 
https://www.worldometers.info/coronavirus/coronavirus-symptoms/
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Modélisation Covid-19 aka Coronavirus
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Корея коронавирус 2021
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The System Dynamics Of Covid-19 Pandemic at Puerto Princesa City Palawan
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Covid-19 SSM
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COVID-19 in Jakarta
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Atakan Han 150501024 

During the Covid-19 Outbreak Model
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Өзіндік жұмыс агенттік
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COVID 19 Южная Корея
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The System Dynamics Model presents the the COVID-19 status in Puerto Princesa City
Ауру Динамикасы COVID-19
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Covid-19 in Belarus
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Systems Project Stock and Flow
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From Yuan Tian's 2024 paper Early COVID-19 Pandemic Preparedness: Informing Public Health Interventions and Hospital Capacity Planning Through Participatory Hybrid Simulation Modeling and  PhD Dissertation 2025 USask Fig 5.1 p96 
Hybrid model of early Covid-19
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A Susceptible-Infected-Recovered (SIR) disease model with waning immunity

COVID-19 Delta Variant Spread Among Emory Students
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SD MODEL COVID-19
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This model demonstrate how the exisitng tested COVID cases effects economic recovery via goverment intervenes.
Assumption:Goverment intervenes positively contribute on transmission, patients recovery, and death elimination. When existing cases equal or lower than 10 cases, economic growth will be soaring with helps of influencial elements.
Interesting points: even though there are certain amount of unknow cases, enhancing social restriction and increasing test rate ould still reduce amount of cases
Complex Model to Simulate How COVID Outbreak Influence Economic Recovery in Burnie
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A simple SI (Susceptible-Infectious) model that captures the dynamics of COVID-19.
Clone of Clone of SI Model
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Reinforcing feedback loop CoVid cases
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COVID-19 in Iran 2 - ө. ж.