SEIR epidemic model for COVID-19 transmission by Caputo derivative of fractional order
Related Experiment Video
Updated: Dec 8, 2025

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
Shahram Rezapour1,2,3, Hakimeh Mohammadi4, Mohammad Esmael Samei5
1Institute of Research and Development, Duy Tan University, Da Nang, 550000 Vietnam.
Abstract:
We provide a SEIR epidemic model for the spread of COVID-19 using the Caputo fractional derivative. The feasibility region of the system and equilibrium points are calculated and the stability of the equilibrium points is investigated. We prove the existence of a unique solution for the model by using fixed point theory. Using the fractional Euler method, we get an approximate solution to the model. To predict the transmission of COVID-19 in Iran and in the world, we provide a numerical simulation based on real data.
Related Concept Videos
Steps in Outbreak Investigation
Causality in Epidemiology
Poisson's And Laplace's Equation
Exponential Equations for Modeling Growth
Statistical Methods for Analyzing Epidemiological Data
Parametric Survival Analysis: Weibull and Exponential Methods
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...

