Your browser doesn't support javascript.
Mathematical Modeling of COVID-19 with Vaccination Using Fractional Derivative: A Case Study
Fractal and Fractional ; 7(3), 2023.
Article in English | Scopus | ID: covidwho-2282987
ABSTRACT
Vaccination against any infectious disease is considered to be an effective way of controlling it. This paper studies a fractional order model with vaccine efficacy and waning immunity. We present the model's dynamics under vaccine efficacy, the impact of immunization, and the waning of the vaccine on coronavirus infection disease. We analyze the model under their equilibrium points. The model under the equilibrium points is discussed and proven that it is locally asymptotically stable if (Formula presented.) is lesser than unity. We present the backward bifurcation hypothesis of the model and show that there is a parameter (Formula presented.) that causes the backward bifurcation in the imperfect vaccine model. We show certain assumptions when (Formula presented.) for the imperfect vaccine case;the model is both stable globally asymptotically at the disease-free ((Formula presented.)) and endemic cases ((Formula presented.)). By using infected cases from the recent wave throughout Pakistan, we shall estimate the model parameters and calculate the numerical value of the basic reproductive number (Formula presented.). We present the comprehensive graphical results for the realistic parameter values and show many useful suggestions regarding the elimination of the infection from society. The vaccination efficacy that provides an important role in disease elimination is discussed in detail. © 2023 by the authors.
Keywords

Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Case report Topics: Vaccines Language: English Journal: Fractal and Fractional Year: 2023 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Case report Topics: Vaccines Language: English Journal: Fractal and Fractional Year: 2023 Document Type: Article