Dynamics of Feline Coronavirus and FIP: A Compartmental Modeling Approach
2023
Dobie, Ayse Peker(Department of Mathematics, Faculty of Science and Letters) | Bayrakal, Alper(Department of Internal Medicine, Faculty of Veterinary Medicine) | Or, Mehmet Erman(Department of Internal Medicine, Faculty of Veterinary Medicine) | Bilge, Ayse Humeyra(Department of Industrial Engineering, Faculty of Engineering and Natural Sciences)
The investigation of infectious agents invading human and nonhuman populations represents a rich research domain within the framework of mathematical biology, captivating the interest of scientists across various disciplines. In this work, we examine the endemic equilibrium of feline coronavirus and feline infectious peritonitis by using a modified susceptible-infected-susceptible epidemiological model. We incorporate the concept of mutations from FCoV to FIP to enrich our analysis. We establish that the model, when subjected to reasonable parameter ranges, supports an endemic equilibrium wherein the FCoV group dominates. To demonstrate the stability of the equilibria under typical parameters and initial conditions, we employ the model SCF presented by Dobie in 2022 (Dobie, 2022). We ascertain that the equilibrium values reside within the interior domains of stability. Additionally, we displayed perturbed solutions to enhance our understanding. Remarkably, our findings align qualitatively with existing literature, which reports the prevalence of seropositivity to FCoV among stray cats (Tekelioglu et al. 2015, Oğuzoğlu et al. 2010, Pratelli 2008, Arshad et al. 2004).
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