Abstract
The objective of this article is to build an SEIR epidemic system for episode COVID-19 (novel crown) with fuzzy numbers. Mathematical models might assist with investigating the transmission elements, forecast and control of Covid-19. The fuzziness in the infection rate, increased death owing to COVID-19, and recovery rate from COVID-19 were all deemed fuzzy sets, and their member functions were used as fuzzy parameters in the SEIR system. The age lattice technique is used in the SEIR system to calculate the fuzzy basic reproduction number and the system’s stability at infection-free and endemic equilibrium points. Computer simulations are provided to comprehend the subtleties of the proposed SEIR COVID-19 model.
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Supported by Organization Aditya College of Engineering and Technology, Surampalem, AP. and Vellore Institute of Technology, Vellore, Tamilnadu.
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Murthy, B.S.N., Srinivas, M.N., Srinivas, M.A.S. (2022). Analysis of Fuzzy Dynamics of SEIR COVID-19 Disease Model. In: Banerjee, S., Saha, A. (eds) Nonlinear Dynamics and Applications. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-99792-2_119
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