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Simulation of SARS-CoV-2 pandemic in Germany with ordinary differential equations in MATLAB

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet

Authors

Simulation of pandemic or epidemic situations is an important discipline for disease control and containment. In addition, it can provide clues to weaknesses in control and possible sources of infection. The following model for the simulation of the SARS-Cov-2 spread in Germany was developed in the context of a complementary course at the Leuphana University. It tries to simulate different scenarios of the number of cases with the help of ODE. MATLAB is used as software.One scenario goes from no constraints, then the contact rate is lowered, and immunity is removed. At the end of the simulation a vaccination is available. In the results the simulation is compared with the reality.

OriginalspracheEnglisch
Titel2021 25th International Conference on System Theory, Control and Computing (ICSTCC) : October 20 – 23, 2021 Iași, Romania, Proceedings
HerausgeberLavinia Ferariu, Mihaela-Hanako Matcovschi, Florina Ungureanu
Anzahl der Seiten6
ErscheinungsortPiscataway
VerlagInstitute of Electrical and Electronics Engineers Inc.
Erscheinungsdatum2021
Seiten564-569
ISBN (Print)978-1-6654-3055-5
ISBN (elektronisch)978-1-6654-1496-8
DOIs
PublikationsstatusErschienen - 2021
Veranstaltung25th International Conference on System Theory, Control and Computing - Iasi, Rumänien
Dauer: 20.10.2021 → 23.10.2021
Konferenznummer: 25
https://ieeexplore.ieee.org/xpl/conhome/9607028/proceeding

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DOI

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