Optimal Control for A SEIR Epidemiological Model Under the Effect of Different Incidence Rates
Abstract
Keywords
References
- [1] H. W. Hethcote, “The mathematics of infectious diseases,” SIAM review, vol. 42, no. 4, pp. 599-653, 2000.
- [2] J. D. Murray, Mathematical biology I. An introduction, 3rd ed., New York, USA: Springer, 2002.
- [3] L. J. Allen, F. Brauer, P. Van den Driessche, and J. Wu, Mathematical epidemiology, vol. 1945, Berlin, Germany: Springer, 2008.
- [4] J. C. Frauenthal, Mathematical modeling in epidemiology, New York, USA: Springer, 2012.
- [5] J. Mishra, R. Agarwal, and A. Atangana (Eds.), Mathematical Modeling and Soft Computing in Epidemiology, New York, USA: CRC Press, 2020.
- [6] V. S. Erturk and P. Kumar, “Solution of a COVID-19 model via new generalized Caputo-type fractional derivatives,” Chaos, Solitons & Fractals, vol. 139, Article ID 110280, 2020.
- [7] M. A. Dokuyucu and H. Dutta, “A fractional order model for Ebola Virus with the new Caputo fractional derivative without singular kernel,” Chaos, Solitons & Fractals, vol. 134, Article ID 109717, 2020.
- [8] P. A. Naik, M. Yavuz, S. Qureshi, J. Zu, and S. Townley, “Modeling and analysis of COVID-19 epidemics with treatment in fractional derivatives using real data from Pakistan,” The European Physical Journal Plus, vol. 135, no. 10, pp. 1-42, 2020.
Details
Primary Language
English
Subjects
Engineering
Journal Section
Research Article
Authors
Derya Avcı
*
0000-0003-3662-0474
Türkiye
Publication Date
April 30, 2023
Submission Date
February 19, 2022
Acceptance Date
May 31, 2022
Published in Issue
Year 2023 Volume: 11 Number: 2
Cited By
Optimal control and stability investigation of a fractional SEIJR approach with a generalized nonlinear transmission rate
Journal of Applied Mathematics and Computing
https://doi.org/10.1007/s12190-025-02669-9