Why the study?
Developing regions such as Asia, Africa, and sub-continents are facing dreadful situations with poliovirus, motivating the evaluation of a polio epidemic model with different delay strategies.
This study presents a mathematical delayed epidemic model for polio, analyzing its stability and supporting the analytical findings with computer simulations.
Nonlinear delayed models may inform polio dynamics in endemic regions; leaves open empirical validation before guiding interventions.
Through the study, the nonlinear delayed modelling has vital significance in the different field of allied sciences like computational biology, computational chemistry, computational physics, computational economics and many more. Polio is a contagious viral illness that in its most severe form causes nerve injury leading to paralysis, difficulty breathing and sometimes death. In recent years, developing regions like Asia, Africa and sub-continents facing a dreadful situation of poliovirus. That is the reason we focus on the treatment of the polio epidemic model with different delay strategies in this article. Polio delayed epidemic model is categorized into four compartments like susceptible, exposed, infective and vaccinated classes. The equilibria, positivity, boundedness, and reproduction number are investigated. Also, the sensitivity of the parameters is analyzed. Well, known results like the Routh Hurwitz criterion and Lyapunov function stabilities are investigated for polio delayed epidemic model in the sense of local and global respectively. Furthermore, the computer simulations are presented with different traditions in the support of the analytical analysis of the polio delayed epidemic model.
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Naveed et al. (2021) studied this question.
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