Related Experiment Video
Updated: Nov 20, 2025

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
Estimation of parameter of fractional order COVID-19 SIQR epidemic model
Arti Malik1, Nitendra Kumar1, Khursheed Alam1
1Department of Mathematics, School of Basic Sciences and Research, Sharda University, Greater Noida 201306, India.
Abstract:
Epidemic model have been broadly used in different forms for studying and forecasting epidemiological processes the spread of dengue, zika virus , HIV, SARS and recently , the 2019-20 corona virus which is an ongoing pandemic of corona virus disease (COVID-19). In the present paper, an inverse problem to find the parameters for the single term (multi term) fractional order system of an outbreak of COVID-19 is considered. In the starting, we propose a numerical method for fractional order corona virus system based on the Gorenflo-Mainardi-Moretti-Paradisi (GMMP) scheme, and then to find the parameters we use GMMP method and the modified hybrid Nelder-Mead Simplex search and particle swarm optimization algorithm. With the new fractional orders and parameters our fractional order corona virus system is capable to providing numerical results that agree well with the real data.
Related Concept Videos
Exponential Equations for Modeling Growth
Steps in Outbreak Investigation
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
On...
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...
Distributions to Estimate Population Parameter
Statistical Methods for Analyzing Epidemiological Data

