Dynamical Analysis on Two Dose Vaccines in the Presence of Media

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Keywords:

Vaccine; Covid-19; Global Stability; Parameter Sensitivity

Abstract

The Covid-19 outbreak hit us as a serious health crisis with vaccination to be seen as the only way out of it. And media can play the
role of an advocate to fight against this epidemic by spreading important awareness regarding various protocols and vaccination strategies. Since breakthrough infections are becoming highly common, a two dose vaccine regime may be the need of the hour even for individuals with a pre-existing illness to build better immunity. Thus in this paper, our aim is to analyse a mathematical model with two dose vaccination strategy in the presence of media and breakthrough infections. An SIV1V2R model is formulated and the dynamical analysis is done. The basic reproduction number is obtained and the local stability analysis of both the disease-free and endemic equilibrium point is discussed based on reproduction number. The global stability of the endemic equilibrium point is done by graph theoretic approach. Finally, the numerical validation of the analytic solution is done using MATLAB using the real data of India for some important parameters to address a few vital questions which involves the role of media on the vaccination strategy. And sensitive model parameters effecting the basic reproduction number and endemic equilibrium points are identified using sensitivity analysis techniques like PRCC(partial rank correlation coefficient). Thus, the outcomes demonstrated the trend a two-dose vaccine model can follow and how the effect of media can help bring down the infections. This model provides support that two dose vaccination against COVID-19 with media presence for awareness is highly effective in controlling this epidemic

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Published

2022-10-05

How to Cite

Payal Rana, Dinkar Jha, & Sudipa Chauhan. (2022). Dynamical Analysis on Two Dose Vaccines in the Presence of Media. Journal of Computational Analysis and Applications (JoCAAA), 30(2), 260–280. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/117

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