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@article{165880,
        author = {Shraddha Malviya and Sarla Chouhan and Souvik Kundu and Ramakant Bhardwaj},
        title = {A SEIR Model of Covid-19 to Study the Effect of Vaccination},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {1},
        pages = {2277-2286},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=165880},
        abstract = {In this work, we analyse and suggest a generalized mathematical model to comprehend the effects of vaccination on COVID-19 transmission. Susceptible (S), vaccinated (V), exposed (E), symptomatically infected (Is), asymptomatically infected (Ia), quarantined (Q), and recovered (R), are the seven compartmental classifications introduced. Using the next-generation matrix technique, the fundamental reproduction number (abbreviated R0) of the suggested model was calculated. The findings indicate that the disease-free equilibrium (DFE) is globally asymptotically stable for R0 < 1. The model’s mathematical analysis is bolstered by computational modelling. Furthermore, the numerical outcomes demonstrate that proper implementation of vaccination would contribute significantly to limiting the COVID-19 epidemic or any pandemic situation.},
        keywords = {Covid-19 Pandemic, Mathematical Modelling, SEIR Model, Vaccination.},
        month = {June},
        }