We explore local dynamics with topological classifications, bifurcation analysis and chaos control in a discrete-time COVID-19 epidemic. It is explored that for all involved parametric values, discrete-time COVID-19 epidemic model has boundary equilibrium solution, and also it has an interior equilibrium solution under definite parametric condition. We have explored the local dynamics with topological classifications about boundary and interior equilibrium solutions of the discrete-time COVID-19 epidemic model by linear stability theory. Further, for the discrete-time COVID-19 epidemic model, existence of periodic points and convergence rate are also investigated. It is also studied the existence of possible bifurcations about boundary and interior equilibrium solutions, and proved that there exists no flip bifurcation about boundary equilibrium solution. Moreover, it is proved that about interior equilibrium solution there exist hopf and flip bifurcations, and we have studied these bifurcations by utilizing explicit criterion. Moreover, by feedback control strategy, chaos in the discrete COVID-19 epidemic model is also explored. Finally, theoretical results are verified numerically

Abdul Qadeer Khan is currently working as Associate Professor in the Department of Mathematics, University of Azad Jammu and Kashmir, Muzaffarabad, Pakistan. Before this, he served as Assistant Professor, Lecturer and Junior Lecturer in the same Institution. He got his PhD Degree in the field of Discrete Dynamical Systems. His research mainly focuses on Mathematical Biology, Difference Equations, Discrete Dynamical Systems and Bifurcation Theory. Within his research domain, he has published number of research articles in the well-reputed Journals, and also he authored one book.