Araştırma Makalesi
BibTex RIS Kaynak Göster

Application of an Epidemic Model to Turkey Data and Stability Analysis for the COVID-19 Pandemic

Yıl 2021, , 1438 - 1445, 31.12.2021
https://doi.org/10.16984/saufenbilder.980797

Öz

An epidemic disease caused by a new coronavirus has spread all over the world with a high rate of transmission. The main purpose of this article is to define an epidemic model for the Covid-19 pandemic, to apply it to Turkey's data and to interpret it. Accordingly, a SEIR model was created to calculate the infected population and the number of deaths caused by this epidemic, and the stability of the model was examined. Since all the parameters affecting the stability cannot be calculated clearly, it cannot be expected to reach a realistic result. For this reason, a model was created with accessible parameters. Later, the diseased and non diseased equilibrium points of the model were discussed. The Hurwitz theorem is used to find the local stability of the model, while the Lyaponov function theory is used to investigate its global stability. Finally, some numerical results are given with the help of MATLAB program.

Kaynakça

  • [1] Lyapunov, A.M., The General Problem of the Stability of Motion, Üniv. Kharkov, PhD thesis, 1892.
  • [2] Carcione José M. ve diğ., A Simulation of a COVID-19 Epidemic Based on a Deterministic SEIR Model, Frontiers in Public Health, 2020.
  • [3] Edwards C.M. ve Penney D.E., Differential Equations and Boundary Value Problems (Translation Prof. Dr. Ömer Akın), Palme Publishing, Ankara, 366-434, 2005.
  • [4] Boyce W. E. ve DiPrima R. C., Elementary Differential Equations and Boundary Value Problems (Translation Uğuz M. ve Ürtiş Ç.), Palme Publishing, Ankara, 495-527, 2016.
  • [5] Haran M., An introduction to models for disease Dynamics, SAMSI, 5-25, 2009.
  • [6] Van den Driessche P., Watmough J., Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission, 2002.
  • [7] Alzahrani E., Zeb A., Stability analysis and prevention strategies of tobacco smoking model, 2020.
  • [8] https://corona.cbddo.gov.tr/Home/DeathConfirmedRatio, Access Date: 04.07.2021.
  • [9] https://data.tuik.gov.tr/Bulten/Index?p=Dogum-Istatistikleri-2020-33706, Access Date: 04.07.2021.
  • [10] https://www.nufusu.com/turkiye-nufusu-yas-gruplari, Access Date: 04.07.2021.
  • [11] https://data.tuik.gov.tr/Bulten/Index?p=Olum-ve-Olum-Nedeni-Istatistikleri-2019-33710, Access Date: 04.07.2021.
Yıl 2021, , 1438 - 1445, 31.12.2021
https://doi.org/10.16984/saufenbilder.980797

Öz

Kaynakça

  • [1] Lyapunov, A.M., The General Problem of the Stability of Motion, Üniv. Kharkov, PhD thesis, 1892.
  • [2] Carcione José M. ve diğ., A Simulation of a COVID-19 Epidemic Based on a Deterministic SEIR Model, Frontiers in Public Health, 2020.
  • [3] Edwards C.M. ve Penney D.E., Differential Equations and Boundary Value Problems (Translation Prof. Dr. Ömer Akın), Palme Publishing, Ankara, 366-434, 2005.
  • [4] Boyce W. E. ve DiPrima R. C., Elementary Differential Equations and Boundary Value Problems (Translation Uğuz M. ve Ürtiş Ç.), Palme Publishing, Ankara, 495-527, 2016.
  • [5] Haran M., An introduction to models for disease Dynamics, SAMSI, 5-25, 2009.
  • [6] Van den Driessche P., Watmough J., Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission, 2002.
  • [7] Alzahrani E., Zeb A., Stability analysis and prevention strategies of tobacco smoking model, 2020.
  • [8] https://corona.cbddo.gov.tr/Home/DeathConfirmedRatio, Access Date: 04.07.2021.
  • [9] https://data.tuik.gov.tr/Bulten/Index?p=Dogum-Istatistikleri-2020-33706, Access Date: 04.07.2021.
  • [10] https://www.nufusu.com/turkiye-nufusu-yas-gruplari, Access Date: 04.07.2021.
  • [11] https://data.tuik.gov.tr/Bulten/Index?p=Olum-ve-Olum-Nedeni-Istatistikleri-2019-33710, Access Date: 04.07.2021.
Toplam 11 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Matematik
Bölüm Araştırma Makalesi
Yazarlar

Ömer Faruk Gözükızıl 0000-0002-5975-6430

Nejdet Köker 0000-0003-0585-0314

Yayımlanma Tarihi 31 Aralık 2021
Gönderilme Tarihi 17 Ağustos 2021
Kabul Tarihi 19 Kasım 2021
Yayımlandığı Sayı Yıl 2021

Kaynak Göster

APA Gözükızıl, Ö. F., & Köker, N. (2021). Application of an Epidemic Model to Turkey Data and Stability Analysis for the COVID-19 Pandemic. Sakarya University Journal of Science, 25(6), 1438-1445. https://doi.org/10.16984/saufenbilder.980797
AMA Gözükızıl ÖF, Köker N. Application of an Epidemic Model to Turkey Data and Stability Analysis for the COVID-19 Pandemic. SAUJS. Aralık 2021;25(6):1438-1445. doi:10.16984/saufenbilder.980797
Chicago Gözükızıl, Ömer Faruk, ve Nejdet Köker. “Application of an Epidemic Model to Turkey Data and Stability Analysis for the COVID-19 Pandemic”. Sakarya University Journal of Science 25, sy. 6 (Aralık 2021): 1438-45. https://doi.org/10.16984/saufenbilder.980797.
EndNote Gözükızıl ÖF, Köker N (01 Aralık 2021) Application of an Epidemic Model to Turkey Data and Stability Analysis for the COVID-19 Pandemic. Sakarya University Journal of Science 25 6 1438–1445.
IEEE Ö. F. Gözükızıl ve N. Köker, “Application of an Epidemic Model to Turkey Data and Stability Analysis for the COVID-19 Pandemic”, SAUJS, c. 25, sy. 6, ss. 1438–1445, 2021, doi: 10.16984/saufenbilder.980797.
ISNAD Gözükızıl, Ömer Faruk - Köker, Nejdet. “Application of an Epidemic Model to Turkey Data and Stability Analysis for the COVID-19 Pandemic”. Sakarya University Journal of Science 25/6 (Aralık 2021), 1438-1445. https://doi.org/10.16984/saufenbilder.980797.
JAMA Gözükızıl ÖF, Köker N. Application of an Epidemic Model to Turkey Data and Stability Analysis for the COVID-19 Pandemic. SAUJS. 2021;25:1438–1445.
MLA Gözükızıl, Ömer Faruk ve Nejdet Köker. “Application of an Epidemic Model to Turkey Data and Stability Analysis for the COVID-19 Pandemic”. Sakarya University Journal of Science, c. 25, sy. 6, 2021, ss. 1438-45, doi:10.16984/saufenbilder.980797.
Vancouver Gözükızıl ÖF, Köker N. Application of an Epidemic Model to Turkey Data and Stability Analysis for the COVID-19 Pandemic. SAUJS. 2021;25(6):1438-45.

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