Abstract
In mid-March 2020, the WHO declared the COVID-19 pandemic a worldwide public health emergency. During the spread of such disease, several kinds of delay come into play, owing to changes in their dynamics. Here, we have studied a fractional order dynamical system of susceptible, exposed, infected, recovered, and vaccinated population (SEIRV) with a single delay incorporated in the infectious population accounting for the time period required by the said population to recover. The parameters of the fractional order SEIRV model were determined using real-time data for India COVID-19 scenarios. The disease-free equilibrium point and the endemic equilibrium point are both locally asymptotically stable, according to a stability analysis of the system with a non-zero single time delay. The Adam-Bashforth-Moulton predictor–corrector approach is used to generate numerical solutions for the scenario. The fractional order of the SEIRV model is shown to be better to the integral order for analyzing COVID-19 dynamic behavior. Numerical findings are graphically demonstrated using MATLAB (2018a) software.
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Paul, S., Mahata, A., Mukherjee, S., Chakraborty, M., Roy, B. (2022). Study of Time-Delayed Fractional Order SEIRV Epidemic Model. In: Peng, SL., Lin, CK., Pal, S. (eds) Proceedings of 2nd International Conference on Mathematical Modeling and Computational Science. Advances in Intelligent Systems and Computing, vol 1422. Springer, Singapore. https://doi.org/10.1007/978-981-19-0182-9_44
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DOI: https://doi.org/10.1007/978-981-19-0182-9_44
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