Journal
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING
Volume 25, Issue 6, Pages 619-640Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/10255842.2021.1972096
Keywords
Pandemic model; Caputo-Fabrizio derivative; Stability analysis; Sensitivity analysis; Numerical simulations
Funding
- King Mongkut's University of Technology Thonburi's Postdoctoral Fellowship
Ask authors/readers for more resources
In this research, a COVID-19 model is formulated with a more realistic harmonic mean type incidence rate. The basic reproduction number, equilibrium points, and stability of the model are established under certain conditions. Sensitivity analysis is conducted to identify influential parameters on the basic reproduction number.
In this research, COVID-19 model is formulated by incorporating harmonic mean type incidence rate which is more realistic in average speed. Basic reproduction number, equilibrium points, and stability of the proposed model is established under certain conditions. Runge-Kutta fourth order approximation is used to solve the deterministic model. The model is then fractionalized by using Caputo-Fabrizio derivative and the existence and uniqueness of the solution are proved by using Banach and Leray-Schauder alternative type theorems. For the fractional numerical simulations, we use the Adam-Moulton scheme. Sensitivity analysis of the proposed deterministic model is studied to identify those parameters which are highly influential on basic reproduction number.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available