Mathematical analysis of a new nonlinear dengue epidemic model via deterministic and fractional approach.
บทความในวารสาร
ผู้เขียน/บรรณาธิการ
กลุ่มสาขาการวิจัยเชิงกลยุทธ์
รายละเอียดสำหรับงานพิมพ์
รายชื่อผู้แต่ง: Yu Gu, Mohabat Khan, Rahat Zarin, Amir Khan, Abdullahi Yusuf, Usa Wannasingha Humphries
ผู้เผยแพร่: Elsevier
ปีที่เผยแพร่ (ค.ศ.): 2023
Volume number: 67
หน้าแรก: 1
หน้าสุดท้าย: 21
จำนวนหน้า: 21
นอก: 1110-0168
eISSN: 2090-2670
URL: https://www.sciencedirect.com/science/article/pii/S1110016822007141
ดูในเว็บของวิทยาศาสตร์ | ดูบนเว็บไซต์ของสำนักพิมพ์ | บทความในเว็บของวิทยาศาสตร์
บทคัดย่อ
We developed a dengue epidemic model by considering hospitalized class and harmonic mean incidence rate. A qualitative study of the proposed model was conducted. The Basic reproduction number, and local and global stability are established. The highly dominant parameters on basic reproduction number R0 have been found by sensitivity analysis. NSFD and RK-4 schemes are used for numerical solutions. Furthermore, this manuscript considers the novel fractionalorder operator developed by Atangana-Baleanu for transmission dynamics of the Dengue epidemic. Assuming the importance of the non-local Atangana-Baleanu fractional-order approach, the transmission mechanism of Dengue has been investigated while taking into account different phases of infection and various transmission routes of the disease. To conduct the proposed study, first of all, we shall formulate the model by using the classical operator of ordinary derivatives. We utilize the fractional order derivative and the model will be extended to a model containing fractional order derivatives. The operator being used is the fractional differential operator and has fractional order U1. The approach of newton’s polynomial is considered and a new numerical scheme is developed which helped in presenting an iterative process for the proposed ABC system. Based on this scheme, sample curves are obtained for various values of U1 and a pattern is derived between the dynamics of the infection and the order of the derivative.
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