A mathematical model for (COVID-19) transmission dynamics: A case study of India
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Date
2022-10
Journal Title
Journal ISSN
Volume Title
Publisher
Al-Neelain University
Abstract
Abstract
In this study, we present a mathematical model to predict and controlling the transmission
dynamics of the Corona virus in India using epidemiological data. We perform a local
and global stability analysis of the disease-free equilibrium point and endemic equilibrium
point by means of the basic reproduction number. We performed sensitivity analysis of the
model parameters to determine the most influential parameters in the transmission of the
disease.The model simulation shows that the disease transmission rate is the most impact
parameter on the basic reproduction number. Our model predicts, based on the estimated
data, that during a period of 80 days, the Corona virus will reach its highest peak in India
and after that it will reach a plateau but will continue for a long period.
Description
Thesis Presented as a Partial Fulfillment for
MASTER OF SCIENCE IN MATHEMATICS
in the Department of Mathematics
ALNEELAIN UNIVERSITY
Keywords
(COVID-19)