A nonlinear mathematical model on the Covid-19 transmission pattern among diabetic and non-diabetic population

Monalisa Anand, P. Danumjaya and P. Raja Sekhara Rao

Mathematics and Computers in Simulation (MATCOM), 2023, vol. 210, issue C, 346-369

Abstract: In this paper, a three tier mathematical model describing the interactions between susceptible population, Covid-19 infected, diabetic population and Covid-19 infected, non diabetic population is proposed. Basic properties of such a dynamic model, namely, non negativity, boundedness of solutions, existence of disease-free and disease equilibria are studied and sufficient conditions are obtained. Basic reproduction number for the system is derived. Sufficient conditions on functionals and parameters of the system are obtained for the local as well as global stability of equilibria, thus, establishing the conditions for eventual prevalence of disease free or disease environment, as the case may be. The stability aspects are discussed in the context of basic reproduction number and vice versa. An important contribution of this article is that a novel technique is presented to estimate some key, influencing parameters of the system so that a pre-specified, assumed equilibrium state is approached eventually. This enables the society to prepare itself with the help of these key, influencing parameters so estimated. Several examples are provided to illustrate the results established and simulations are provided to visualize the examples.

Keywords: Covid-19; Diabetes; Basic reproduction number; Equilibria; Stability analysis; Numerical experiments (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:210:y:2023:i:c:p:346-369

DOI: 10.1016/j.matcom.2023.03.016

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