Dynamics of an epidemiological model of drinking

Autors/ores

  • I. Abubakar* Department of Mathematics, Kano University of Science and Technology, Wudil, Nigeria
  • S. Usaini
  • K.I. Falade

Paraules clau:

: campus drinking, bifurcation, stable node, saddle-node

Resum

In this paper, we review and carry out the bifurcation analysis of the drinking model proposed by Manthey et al. in 2008. We show that the model exhibits a drinking-free equilibrium point and a problem drinking-free equilibrium which exists when the reproductive number RY 0 > 1. Each of these equilibria is a stable node if the threshold parameters RY 0 < 1,RZ 0 < 1 and R1 < 1,RY 0 > 1 respectively. Moreover, the existence of multiple endemic equilibria reveals the complex dynamics of the model by the occurrence of two saddle-node bifurcations leading to the phenomenon of backward bifurcation. Taking the transmission rate of non-drinkers to problem drinkers κ as a bifurcation parameter, we show the two saddle-nodes SN and SN2 for the extinction and persistence of the drinking problem. Before the disappearance of E1 and E2 after SN in the interval (0,RZc1 0 ) the system is bistable with E0 and E2 being the stable equilibrium points. The system is rendered mono stable after the SN before the SN2 emerged in (RZc1 0 ,RZc2 0 ) with E0 as the only stable equilibrium point. Then after the emergence of SN2 in the interval (RZc2 0 ,κ∗), the system becomes bistable again with E0 and E4. But for κ > κ∗, there is endemic persistence of the drinking problem with E4 as the only stable attractor. When such a scenario does not exist a forward bifurcation occurs for which the drinking-free equilibrium exchanges stability at κ = κc with drinking-present equilibrium point. Numerical simulations of the model support these extinction and persistence regions of the drinking problem.

Publicades

2023-09-28

Com citar

Abubakar*, . I. ., Usaini, . S. ., & Falade, K. . (2023). Dynamics of an epidemiological model of drinking. International Journal of Mathematical Analysis and Modelling, 5(2). Retrieved from https://tnsmb.org/journal/index.php/ijmam/article/view/38