Parameter estimation for a SEIRS model with COVID-19 data of Türkiye
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21. Okt. 2023
Über diesen Artikel
Online veröffentlicht: 21. Okt. 2023
Seitenbereich: 229 - 244
Eingereicht: 25. Sept. 2022
Akzeptiert: 14. Feb. 2023
DOI: https://doi.org/10.2478/auom-2023-0041
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© 2023 Arzu Unal et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
In this paper, the unknown parameters of a SEIRS mathematical model for the dynamics of COVID-19 are estimated by the least squares approach using data of Trkiye. In the considered model, the infective group is divided into two classes consisting of diagnosed and undiagnosed individuals. Since the data for undiagnosed infective individuals in the community is unknown, three di erent scenarios are proposed. The numerical solutions of the model using the estimated parameter values and the actual data are demonstrated with graphs.