Covid-19-vaccination

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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.


Model

Environment

Agents

Movement

Spread of infection

End of the simulation

Parameter

Infected people at the beginning

Vaccination rate

Risk of infection of unvaccinated people

Risk of infection of vaccinated people

Mobility

Ricovery time

Possibility of mobility

Mortality rate

Further measures for reducing the risk of infection

Masks

Social Distancing

Quarantine

Output

Monitors

Plots

Results

Conclusion

Sources

NetLogo File