Difference between revisions of "Covid-19-vaccination"
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| − | === | + | ====Infected people at the beginning==== |
| − | === | + | ====Vaccination rate==== |
| − | === | + | ====Risk of infection of unvaccinated people==== |
| − | === | + | ====Risk of infection of vaccinated people==== |
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| + | ====Mobility==== | ||
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| + | |||
| + | ====Ricovery time==== | ||
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| + | ====Possibility of mobility==== | ||
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| + | ====Mortality rate==== | ||
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| + | ===Further measures for reducing the risk of infection=== | ||
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| + | ====Masks==== | ||
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| + | ====Social Distancing==== | ||
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| + | ====Quarantine==== | ||
=Output= | =Output= | ||
Revision as of 23:29, 31 January 2022
Contents
- 1 Problem definition
- 2 Method
- 3 Model
- 4 Parameter
- 5 Output
- 6 Results
- 7 Conclusion
- 8 Sources
- 9 NetLogo File
Problem definition
Currently, there is a new wave of infection in the COVID-19 pandemic with high number of infections. In Germany, for example, more than 50,000 new infections are currently reported every day. To reduce the infection rate, a wide variety of measures have been implemented. One of these measures are the vaccination and masks. Vaccination can reduce the risk of infection and the likelihood of transmissibility. A simulation is conducted to vividly identify the extent to which vaccination could contain the pandemic.
Method
The purpose of the simulation is to show how COVID-19 vaccination affects the spread of the pandemic. I will use an agent-based model, this method enables to reflect the real scenario at the best. Thereby people can be represented by autonomous agents and it is possible to simulate their daily behavior and thus the spread of the virus in a simplified way.
