Your browser doesn't support javascript.
Forward-backward and period doubling bifurcations in a discrete epidemic model with vaccination and limited medical resources.
Huang, Yu-Jhe; Juang, Jonq; Kuo, Tai-Yi; Liang, Yu-Hao.
  • Huang YJ; Department of Applied Mathematics, National Yang Ming Chiao Tung University, 300, Hsinchu, Taiwan, ROC. yjhuang@nycu.edu.tw.
  • Juang J; Department of Applied Mathematics, National Yang Ming Chiao Tung University, 300, Hsinchu, Taiwan, ROC.
  • Kuo TY; Department of Applied Mathematics, National Yang Ming Chiao Tung University, 300, Hsinchu, Taiwan, ROC.
  • Liang YH; Department of Applied Mathematics, National University of Kaohsiung, 81148, Kaohsiung, Taiwan, ROC.
J Math Biol ; 86(5): 77, 2023 04 19.
Article in English | MEDLINE | ID: covidwho-2315467
ABSTRACT
A discrete epidemic model with vaccination and limited medical resources is proposed to understand its underlying dynamics. The model induces a nonsmooth two dimensional map that exhibits a surprising array of dynamical behavior including the phenomena of the forward-backward bifurcation and period doubling route to chaos with feasible parameters in an invariant region. We demonstrate, among other things, that the model generates the above described phenomena as the transmission rate or the basic reproduction number of the disease gradually increases provided that the immunization rate is low, the vaccine failure rate is high and the medical resources are limited. Finally, the numerical simulations are provided to illustrate our main results.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Vaccination / Epidemics Type of study: Prognostic study Topics: Vaccines Language: English Journal: J Math Biol Year: 2023 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Vaccination / Epidemics Type of study: Prognostic study Topics: Vaccines Language: English Journal: J Math Biol Year: 2023 Document Type: Article