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Dynamical analysis of novel COVID‐19 epidemic model with non‐monotonic incidence function.

Authors :
Prem Kumar, R.
Basu, Sanjoy
Ghosh, Dipankar
Santra, Prasun Kumar
Mahapatra, G. S.
Source :
Journal of Public Affairs (14723891); Dec2022 Supplement 1, Vol. 22, p1-18, 18p
Publication Year :
2022

Abstract

In this study, we developed and analyzed a mathematical model for explaining the transmission dynamics of COVID‐19 in India. The proposed SIuIkR model is a modified version of the existing SIR model. Our model divides the infected class I of SIR model into two classes: Iu (unknown infected class) and Ik (known infected class). In addition, we consider R a recovered and reserved class, where susceptible people can hide them due to fear of the COVID‐19 infection. Furthermore, a non‐monotonic incidence function is deemed to incorporate the psychological effect of the novel coronavirus diseases on India's community. The epidemiological threshold parameter, namely the basic reproduction number, has been formulated and presented graphically. With this threshold parameter, the local and global stability analysis of the disease‐free equilibrium and the endemic proportion equilibrium based on disease persistence have been analyzed. Lastly, numerical results of long‐run prediction using MATLAB show that the fate of this situation is very harmful if people are not following the guidelines issued by the authority. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14723891
Volume :
22
Database :
Complementary Index
Journal :
Journal of Public Affairs (14723891)
Publication Type :
Academic Journal
Accession number :
160885521
Full Text :
https://doi.org/10.1002/pa.2754