Simulation of SARS-CoV-2 pandemic in Germany with ordinary differential equations in MATLAB
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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Simulation of SARS-CoV-2 pandemic in Germany with ordinary differential equations in MATLAB. / Wieland, Jakob; Mercorelli, Paolo.
2021 25th International Conference on System Theory, Control and Computing (ICSTCC): October 20 – 23, 2021 Iași, Romania, Proceedings. Hrsg. / Lavinia Ferariu; Mihaela-Hanako Matcovschi; Florina Ungureanu. Piscataway : Institute of Electrical and Electronics Engineers Inc., 2021. S. 564-569 (International Conference on System Theory, Control and Computing; Nr. 25).Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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TY - CHAP
T1 - Simulation of SARS-CoV-2 pandemic in Germany with ordinary differential equations in MATLAB
AU - Wieland, Jakob
AU - Mercorelli, Paolo
N1 - Conference code: 25
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - COVID-19
KW - Germany
KW - MATLAB
KW - Modeling
KW - ODE
KW - SARS-CoV-2
KW - Simulation
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=85123318351&partnerID=8YFLogxK
U2 - 10.1109/ICSTCC52150.2021.9607181
DO - 10.1109/ICSTCC52150.2021.9607181
M3 - Article in conference proceedings
AN - SCOPUS:85123318351
SN - 978-1-6654-3055-5
T3 - International Conference on System Theory, Control and Computing
SP - 564
EP - 569
BT - 2021 25th International Conference on System Theory, Control and Computing (ICSTCC)
A2 - Ferariu, Lavinia
A2 - Matcovschi, Mihaela-Hanako
A2 - Ungureanu, Florina
PB - Institute of Electrical and Electronics Engineers Inc.
CY - Piscataway
T2 - 25th International Conference on System Theory, Control and Computing
Y2 - 20 October 2021 through 23 October 2021
ER -